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MDB US
MongoDB, Inc.
(MDB US)
$371.09
+8.85
2.44%
Ext:
$320.00
-51.09
13.77%
(Market Closed · 00:00:06 UTC)
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Financials
(36)
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10-Q
Q2
ended 31 Jul 2026
1 Sep
10-Q
Q1
ended 30 Apr 2026
29 May
10-K
FY 2026
ended 31 Jan 2026
11 Mar
10-Q
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ended 31 Oct 2025
2 Dec 2025
10-Q
Q2
ended 31 Jul 2025
27 Aug 2025
10-Q
Q1
ended 30 Apr 2025
4 Jun 2025
10-K
FY 2025
ended 31 Jan 2025
21 Mar 2025
10-Q
Q3
ended 31 Oct 2024
10 Dec 2024
10-Q
Q2
ended 31 Jul 2024
30 Aug 2024
10-Q
Q1
ended 30 Apr 2024
31 May 2024
10-K
FY 2024
ended 31 Jan 2024
15 Mar 2024
10-Q
Q3
ended 31 Oct 2023
7 Dec 2023
10-Q
Q2
ended 31 Jul 2023
1 Sep 2023
10-Q
Q1
ended 30 Apr 2023
2 Jun 2023
10-K
FY 2023
ended 31 Jan 2023
17 Mar 2023
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8-K
Departure of Directors or Certain Officers; Election of Directors; Appointment of Certain Officers: Compensatory Arrangements of Certain Officers
15 Oct
8-K
INVESTOR DAY 2026 September 29, 2026I N V E S T O R D A Y Safe Harbor This presentation and the accompanying oral presentation have been prepared by MongoDB, Inc. (“MongoDB” or the “company”) for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise or representation by the presenter or MongoDB or any officer, director, employee, agent or advisor of MongoDB. This presentation does not purport to be all-inclusive or to contain all of the information you may desire. Information provided in this presentation speaks only as of the date hereof, unless otherwise indicated. This presentation contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including but not limited to statements regarding our financial outlook, financial guidance for fiscal 2027 and beyond, long-term financial targets, product development, business strategy and plans, market trends and market size and opportunities, our ability to continue to increase revenue from our Atlas platform, the recently announced leadership transition and the expected financial impact of AI adoption and new product innovations. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this presentation that are not historical facts and statements, and may be identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. In particular, the development, release, and timing of any features or functionality described for MongoDB products remains at MongoDB's sole discretion. Product roadmaps do not represent a commitment, promise or legal obligation to deliver any material, code, or functionality and you should not rely on them to make your purchase decisions. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the effects of ongoing geopolitical instability, including the conflict in Iran, the unrest in Mexico, the conflicts between Russia and Ukraine, Israel and Hamas and recent events in Venezuela, on our business and future operating results; economic downturns and/or the effects of, changes in trade policies, rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; reputational harm or other adverse consequences resulting from use of AI and ML in our product offerings and internal operations if they do not produce the desired benefits; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements, including AI and ML, for both traditional and emerging use cases; social, ethical, regulatory and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; our ability to continue to increase revenue from our Atlas platform; the effects of social, ethical and regulatory issues relating to the use of new and evolving technologies, such as AI and ML, in our offerings or partnerships; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to work with our strategic partners effectively; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; risks associated with the recently announced leadership transition; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the section entitled “Risk Factors” in our Annual Report on Form 10-K for the fiscal year ended January 31, 2026 and our Quarterly Report on Form 10-Q for the quarter ended July 31, 2026 and in other filings and reports we may file from time to time with the SEC. This presentation includes market and industry data and forecasts that the company has derived from independent consultant reports, publicly available information, various industry publications, other published industry sources, and its internal data and estimates. Independent consultant reports, industry publications and other published industry sources generally indicate that the information contained therein was obtained from sources believed to be reliable. Although the company believes that these third-party sources are reliable, it does not guarantee the accuracy or completeness of this information, and the company has not independently verified this information. The company's internal data and estimates are based upon information obtained from trade and business organizations and other contacts in the markets in which the company operates and management's understanding of industry conditions. Although the company believes that such information is reliable, it has not had this information verified by any independent sources. In addition, the information contained in this presentation is as of the date hereof (except where otherwise indicated), and the company has no obligation to update such information, including in the event that such information becomes inaccurate or if estimates change. Subsequent materials may be provided by or on behalf of the company in its discretion and such information may supplement, modify or supersede the information in these materials. Neither the company, nor any of its respective affiliates, advisors or representatives shall have any liability whatsoever (in negligence or otherwise) for any loss or damage howsoever arising from any use of these materials or their contents or otherwise arising in connection with these materials. This presentation includes the following financial measures defined as non-GAAP financial measures by the SEC: non-GAAP income from operations, non-GAAP operating margin, free cash flow and free cash flow conversion. Non-GAAP income from operations and non-GAAP operating margin exclude expenses associated with stock-based compensation including employer payroll taxes upon the vesting and exercising of stock-based awards and expenses related to stock appreciation rights previously issued to our employees in China, amortization of intangible assets for the acquired technology and acquired customer relationships associated with prior acquisitions, certain acquisition-related costs and other, including due diligence costs, professional fees in connection with an acquisition and certain integration-related expenses, and restructuring costs associated with a formal restructuring plan that are primarily related to workforce reductions. The Company excludes these expenses because they are not reflective of ordinary course ongoing business and operating results. Free cash flow represents net cash from/used in operating activities, less capital expenditures, principal payments of finance lease liabilities and capitalized software development costs, if any. MongoDB uses free cash flow to understand and evaluate its liquidity and to generate future operating plans. The exclusion of capital expenditures, principal payments of finance lease liabilities and amounts capitalized for software development facilitates comparisons of MongoDB's liquidity on a period-to-period basis and excludes items that it does not consider to be indicative of its liquidity. MongoDB believes that free cash flow is a measure of liquidity that provides useful information to investors in understanding and evaluating the strength of its liquidity and future ability to generate cash that can be used for strategic opportunities or investing in its business in the same manner as MongoDB's management and board of directors. MongoDB uses these non-GAAP financial measures internally in analyzing its financial results and believes they are useful to investors, as a supplement to GAAP measures, in evaluating MongoDB's ongoing operational performance. MongoDB believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating ongoing operating results and trends and in comparing its financial results with other companies in MongoDB's industry, many of which may present similar non-GAAP financial measures to investors. Non-GAAP financial measures have limitations as an analytical tool and should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. In particular, other companies may report non-GAAP income from operations, non-GAAP operating margin, free cash flow and free cash flow conversion or similarly titled measures but calculate them differently, which reduces their usefulness as comparative measures. Investors are encouraged to review the reconciliation of these non-GAAP financial measures to their most directly comparable GAAP financial measures, as presented below. This presentation and any future presentations containing such non-GAAP reconciliations can also be found on the Investor Relations page of MongoDB's website at https://investors.mongodb.com. With respect to our forward-looking non-GAAP financial measures, we have not provided a reconciliation of such measures to the most directly comparable GAAP measures for long-term future guidance beyond FY 2027 because certain items are out of our control or cannot be reasonably predicted without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from these non-GAAP measures, in particular stock-based compensation expense. Except as required by law, we undertake no obligation to update any forward-looking statements included in this presentation as a result of new information, future events, changes in expectations or otherwise. Nothing in this presentation is, and should not be construed as, an offer to sell or a solicitation of an offer to buy, any securities.I N V E S T O R D A Y AGENDA 1. Welcome 2. CEO Transition Comments and Q&A 4 Products Innovations Ben Cefalo, Chief Product Officer, Core Products 5. AI Innovations 6. Go-to-Market & Partnerships CONFIDENTIAL AND NOT FOR EXTERNAL DISTRIBUTION Jess Lubert, Vice President, Investor Relations Mike Berry, Chief Financial Officer Dev Ittycheria, Interim President & Chief Executive Officer Pablo Stern-Plaza, Chief Product Officer, AI & Emerging Products Vikas Agarwal, SVP, Head of Enterprise Data Platforms, Citizens Bank 7. Financial Update Mike Berry, Chief Financial Officer Ryan Mac Ban, Chief Revenue Officer Erica Volini, Chief Customer Officer 8. AI Customer Feature INVESTOR DAY September 29, 2026 9. Q&A Madhav Jha, Co-founder & CTO, Emergent Labs 3. Market Opportunity & Strategy Dev Ittycheria, Interim President & Chief Executive Officer4I N V E S T O R D A Y DURABLE GROWTH IN A LARGE MARKET Dev Ittycheria Interim President & Chief Executive OfficerI N V E S T O R D A Y THE INTELLIGENT DATA PLATFORM FOR THE AI ERAI N V E S T O R D A Y We are capturing our large market opportunity all figures in USD billions Source: IDC, Data Management Software Market, September 2026 $93 $108 $123 $139 $156 $174 $193 2029 20302024 2025 2026 2027 2028 $0.6 $0.9 $1.3 $1.7 $2.0 $2.5 FY21 FY22 FY23 FY24 FY25 FY26 *FY27 Guidance (High End) $3.0 +12% CAGR 2026 to 2030 +28% CAGR Past (2024-2025) Future (2026-2030) Total RevenueI N V E S T O R D A Y Customer growth is strong and diverse across industries Software/ Technology Financial Services Business Services Manufacturing Healthcare & Insurance Retail Media & Entertainment 20,200 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 29,000 37,000 45,000 50,700 59,900 23% CAGR 70,600I N V E S T O R D A Y Our market has expanded because of AI Source: IDC, Data Management Software Market, September 2026 $93 $108 2029 20302024 2025 2026 2027 2028 New customers New workloads GROWTH VECTORS More workloadsI N V E S T O R D A Y MongoDB delivers the capabilities that AI apps require MONGODB'S ANSWER Real-time context Precise retrieval Scale & elasticity Enterprise trust Run anywhere Document model + Agent Memory Vector + Full Text Search, Voyage AI MongoDB 9.0 + Atlas Infinite Queryable Encryption, built-in governance Portable across on-prem, multi-cloud, and hybridI N V E S T O R D A Y MongoDB in the enterprise — core expanding to AI ATLAS ARR INCREASE IN 3.5 YRS CORE Modernized claims processing platform AI Global U.S. Healthcare Leader 22 x Media & Entertainment Conglomerate 3x ATLAS ARR INCREASE IN 12 MONTHS Top European Retailer 7x ATLAS ARR INCREASE IN 3 YRS AI benefits application CORE Streaming business, user preference system AI AI video search CORE Moved large ERP off of Oracle and onto MongoDB AI AI customer service chatbotI N V E S T O R D A Y AI-natives and frontier labs are building and scaling on our full platform LAB 1 LAB 2 LAB 3I N V E S T O R D A Y Early strong results on our managed MCP server launch — making MongoDB a first-class data platform for agents ATLAS MANAGED MCP SERVER LAUNCH: 8X GROWTH SINCE WEEK 1 Conversational Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Coding Agents IDEs ChatGPT Claude Grok Claude Code Codex Grok Build Devin CursorI N V E S T O R D A Y Atlas Vector Search MongoDB 7.0 Atlas Relational Migrator Queryable Encryption A strong track record of product innovation 2023 MongoDB 8.0 Atlas Stream Processing Atlas Search Nodes 2024 Acquisition of Voyage AI MongoDB AMP 2025 EA Full Text Search EA Vector Search, Atlas auto-embedding Voyage rerankers Managed MCP Server 2026I N V E S T O R D A Y PUBLIC PREVIEW MONGODB 9.0 GA PUBLIC PREVIEW 2x higher throughput 35% faster reads 30% faster updates Built for highly elastic workloads Decoupled storage and compute 96%+ faster time to scale 10x more storage per shard Memory, runtime and governance for running agents in production, on the same data layer customers already trust ATLAS INFINITE ATLAS AGENT ENGINE New product announcements todayI N V E S T O R D A Y Product Innovation Acceleration World Class Go to Market DURABLE GROWTH DRIVERSI N V E S T O R D A Y Key go-to-market investment areas Building momentum with our largest customers at an executive level Increasing multi-product platform adoption Investing in stronger AI Native customer acquisition Accelerating legacy modernization opportunities Deepening our partner ecosystem Continuing geo and vertical investmentsI N V E S T O R D A Y Where I’m focused Execute on Product & GTM Find my successor Drive momentum Drive momentum Provide a seamless transitionI N V E S T O R D A Y CORE PLATFORM INNOVATIONS Ben Cefalo Chief Product Officer, CoreI N V E S T O R D A Y MongoDB is the Intelligent Data Platform for the AI era Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent EngineI N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine Three core investments that drive growth Run Anywhere & Enterprise Advanced Doubling down MongoDB 9.0 Enterprise proven real-time data Mission-critical elasticity Atlas InfiniteI N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent EngineATLAS AGENT ENGINE Memory & Context Secure governed Agentic Runtime Database Policy guardrails Three core investments that drive growth Run Anywhere & Enterprise Advanced Doubling down MongoDB 9.0 Enterprise proven real-time data Mission-critical elasticity Atlas InfiniteI N V E S T O R D A Y The option to Run Anywhere is critical for enterprises REGULATION CONTROL RESILIENCEI N V E S T O R D A Y 2016 ATLAS Single Sign-On OIDC VPC Peering Multi-Region Clusters PrivateLink BYO KMS Dedicated Search Nodes Resource Policies AI Cluster Assistant Re-sharding Full-text Search Local NVMe Storage Tunable IOPs Vector Search Online Archive Predictive Auto-Scaling System Logs Export Query Profiler Multi-Cloud Clusters Terraform Provider Snapshot Export Performance Advisor A DECADE OF INNOVATIONI N V E S T O R D A Y 2016 ~20 MILLION users since inception 3 TRILLION queries per day ATLAS Strengthens our Run Anywhere strategyI N V E S T O R D A Y Builders start their journey with MongoDB Avg Atlas free tier clusters each quarter 500K Avg Community downloads each quarter 150MI N V E S T O R D A Y APPLICATION Atlas for Government Atlas Multi-cloud Self-managed Run Anywhere broadens our opportunity by enabling portability for customersI N V E S T O R D A Y Full Text Search & Vector Search for Enterprise Advanced Investing in self-managed workloadsI N V E S T O R D A Y Environment choice matters more than ever for enterprises The option to self-manage strengthens our Run Anywhere story and broadens our opportunity We are committed to making Enterprise Advanced a growth driver Run Anywhere & Enterprise Advanced Doubling down 01 02 03I N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine Three core investments that drive growth Run Anywhere & Enterprise Advanced Doubling down Mission-critical elasticity Atlas Infinite9.0 Enterprise proven real-time dataI N V E S T O R D A Y Replica set transactions Faster shard migrations Change streams on databases & deployments Atlas Global Clusters Atlas HIPAA Atlas LDAP Atlas Audit Atlas Encrypted Storage Engine Atlas Backup Snapshots Retryable writes Schema validation Type conversions Snapshot reads Non-blocking secondary reads SHA-2 & TLS 1.1+ 4.0 2018 Distributed transactions Client-side field level encryption Materialized views Wildcard indexes Global point-in-time reads Large transactions Mutable shard key values Expressive updates Apache Kafka Connector Retryable reads New index builds Faster stepDown Storage node watchdog Zstandard compression 2019 4.2 Union ($unionWith) Custom aggregation expressions Refinable shard keys Compound hashed shard keys Mirrored reads + Hedged reads Resumable initial sync Time-based oplog retention Simultaneous indexing Hidden indexes Streaming replication Global read/write concerns TLS 1.3 & faster client auth Faster cert revocation checks Kerberos utility Auto-scaling Schema recommendations AWS IAM authentication Atlas x509 authentication Atlas Online Archive Federated queries Multi-cloud clusters 2020 4.4 Stable API Time series collections Window functions Live resharding Client-side field level encryption with on-premises key managers Long-running snapshot reads Majority write concern default Schema validation diagnostics Resumable index builds New MongoDB Shell GA PyMongoArrow API x509 certificate rotation Auditing++ 2021-2022 5.0 Queryable Encryption (preview) Clustered indexes Sharded $lookup & $graphLookup Faster initial sync New accumulator operators $densify & $fill Cluster-to-cluster sync Independent node scaling $lookup performance Secondary indexes for TS TS read performance Atlas Data Federation Charts embedding Atlas SQL interface Encrypted audit log Change stream improvements 2022-2023 6.0 Vector Search (preview) Queryable Encryption GA Queryable Encryption range queries (preview) Improved query execution Compound wildcard indexes Approximate percentiles Shard key analysis updateOne without shard key Shard chunk auto-merger Large change stream events OpenID Connect AWS, Azure, Google Cloud identity management User roles system variable Live Migration from 6.0+ 2023-2024 7.0 Delivering database innovation since inception Vector Search GA Exact nearest neighbor search AI framework integrations Queryable Encryption range queries GA Multi-region search nodes Faster auto-scaling Express query path TS block processing Persistent query settings Query shape blocking Default read timeouts Query stats ($queryStats) Improved memory mgmt Embedded config servers Move collections Unshard collections Faster resharding Multi-collection bulkWrite Faster replication Resource policies Industry-standard audit log format 2024-2025 8.0I N V E S T O R D A Y ~80% Atlas Fleet The impact of version 8 is showing with our customers 2x Faster adoption than previous releasesI N V E S T O R D A Y MONGODB 9.0 GAI N V E S T O R D A Y MongoDB 9.0 Raising the Bar 20% higher transaction workload throughput 35% faster reads 30% faster updates 2x more throughput on large instances * compared to MongoDB v8.0 Atlas Gen 1I N V E S T O R D A Y 9.0 VIDEO TESTIMONIALI N V E S T O R D A Y QUERYABLE ENCRYPTION Industry first and industry only Available everywhere you run Prefix, suffix, and substring GENERAL AVAILABILITY Makes MongoDB suitable for applications with highly sensitive data ANFSI Leading Financial Institution NAME STARTS WITH “Elizab” CC ENDS WITH “6789” MED NOTE CONTAINS “fever”I N V E S T O R D A Y 9.0 sets a new bar for database performance and scale Meeting the demands of modern and AI applications customers are building today9.0 Enterprise proven real-time data 01 02I N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine Three core investments that drive growth Run Anywhere & Enterprise Advanced Doubling down Database 9.0 Enterprise Proven real-time data Mission-critical elasticity Atlas InfiniteI N V E S T O R D A Y User-Driven Workloads Intensity & scale means something different for Users vs. Agents Predictable cadence & intensityI N V E S T O R D A Y User-Driven Workloads Agentic Workloads Bursty, unpredictable & intensePredictable cadence & intensity Intensity & scale means something different for Users vs. AgentsExtreme Elasticity Atlas Infinite delivers…Extreme Elasticity Fine-Tunable Performance & Scaling Atlas Infinite delivers…Extreme Elasticity Fine-Tunable Performance & Scaling Familiar Atlas Experience Atlas Infinite delivers…I N V E S T O R D A Y Some of our largest customers saw incredible gains with Infinite Cybersecurity Financial Services Insurance Retail Media & Entertainment 55% more transactions per second (Fintech payment platform) 4x peak traffic load (Fraud prevention platform) Manufacturing Icon SolutionsI N V E S T O R D A Y ATLAS INFINITE VIDEO TESTIMONIALI N V E S T O R D A Y Compute Storage VERTICAL SCALING HORIZONTAL SCALING Compute Storage Compute Storage Compute Storage Compute Storage Compute StorageI N V E S T O R D A Y Compute Storage SEPARATE STORAGE & COMPUTE Compute Storage Storage Storage Storage Compute 1 Compute ComputeI N V E S T O R D A Y Compute Storage SEPARATE STORAGE & COMPUTE Compute Storage Storage Storage Storage Compute Compute Compute Separating storage and compute unlocks opportunities for M ngoDB~100% Faster to add read capacity ~200 % More performance per dollar on I/O-heavy workloads 10x More storage per shard (128TB) Atlas Infinite Staying ahead of demandI N V E S T O R D A Y Perfect for the bursty nature of agentic applications Expands to new opportunities where compute & storage separation are critical Atlas Infinite Mission-critical elasticity Atlas Infinite will be a win for customers and drive growth for MongoDBI N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine Three core investments that drive growth Run Anywhere & Enterprise Advanced Doubling down 9.0 Enterprise proven real-time data Mission-critical elasticity Atlas InfiniteI N V E S T O R D A Y MongoDB is the Intelligent Data Platform for the AI era Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine53I N V E S T O R D A Y AI INNOVATIONS Pablo Stern Chief Product Officer, AI & Emerging ProductsI N V E S T O R D A Y Enterprises and AI natives are using our platform across a range of AI use casesI N V E S T O R D A Y Why MongoDB wins in AI Showing up for Builders Our platform is perfect for AI New capabilities get agents to productionI N V E S T O R D A Y Showing up for Builders Our platform is perfect for AI New capabilities get agents to production Why MongoDB wins in AII N V E S T O R D A Y Answer engines AI frameworks Coding agents Framework Support LangChain, LlamaIndex, CrewAI, Mastra ONGOING Frontier Marketplace Plugins Codex, Claude, Gemini, Grok Build, Devin, Cursor AUGUST ONGOING Improved accuracy in high fit scenarios >50% Agents will love MongoDB because we show up in the tools & stacks Builders use AI platforms NEW AI Platform Integrations Vercel + v0, Monk, Retool, EmergentI N V E S T O R D A Y Agents will love MongoDB because we show up in the tools & stacks Builders use 8X GROWTH SINCE WEEK 1 Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 AUGUST Atlas Managed MCP ServerI N V E S T O R D A Y Showing up for Builders Our platform is perfect for AI New capabilities get agents to production Why MongoDB wins in AII N V E S T O R D A Y Database Full Text Search Embeddings RerankersVector Search {JSON} Document Model Agent Engine MongoDB native AI retrieval delivers accuracy and reduces cost, which is make-or-break for AI and agentsI N V E S T O R D A Y Full Text Search Vector Search Embeddings Rerankers VOYAGE AI VOYAGE AII N V E S T O R D A Y 2x Voyage AI customer count growth (QoQ) Vector Search - Customer Count We are seeing strong product traction with Vector Search & Voyage AI Vector Search customer count growth (2 years) 4xI N V E S T O R D A Y Enterprises & AI Natives are building on our AI capabilities ENTERPRISES AI NATIVESI N V E S T O R D A Y PLANNING ACTIONPERCEPTION MEMORY READY FOR DESIGNI N V E S T O R D A Y PLANNING ACTIONPERCEPTION MEMORY Our platform is the ideal layer for agent memory Full-Text Search, Vector Search, and Voyage AI are native to our platform and deliver precise retrieval. As memories change shape, the document model & JSON naturally handle it. Rigid relational databases don't.I N V E S T O R D A Y Showing up for Builders Our platform is perfect for AI New capabilities get agents to production Why MongoDB wins in AII N V E S T O R D A Y PUBLIC PREVIEW ATLAS AGENT ENGINE READY FOR DESIGN Open, secure & governed agentic infrastructureI N V E S T O R D A Y MEMORY & CONTEXT-AWARE SECURE & GOVERNED OPEN & FLEXIBLE PROBLEM Enterprises won't deploy agents they can't trust to behave. WHAT WE DELIVER Agent Engine includes governance and guardrails that keep agent actions safe and compliant. PROBLEM Enterprises don’t want to bet on one model, framework, cloud, or environment. WHAT WE DELIVER Agent Engine is open, so enterprises don't have to re-architect their agents as the landscape changes. PROBLEM Agents that forget or misjudge context compound their mistakes. WHAT WE DELIVER Agent Engine provides Agent Memory so agents can learn and adapt over time. Atlas Agent Engine positions us to capture more of the agentic stackI N V E S T O R D A Y Operations Atlas Agent Engine is the infrastructure to Build, Deploy, Run and Govern Agents in production BUILD DEPLOY RUN GOVERN AI Ecosystem Atlas Agent Engine Agent Runtime Governance & Policies Tools & MCP Identity Agent Memory LLMs Logs Sandboxing Frameworks Monitoring Evals Audit Enterprise Data SourcesI N V E S T O R D A Y Financial Services Manufacturing Financial Services Healthcare & Insurance Private Preview customers across a range of industries and use cases have been hands-on with Atlas Agent Engine Manufacturing Healthcare & Insurance TechnologyI N V E S T O R D A Y ATLAS AGENT ENGINE VIDEO TESTIMONIALI N V E S T O R D A Y Citizens Bank Vikas Agarwal SVP, Head of Enterprise Data Platforms, Citizens Bank CUSTOMER CONVERSATIONI N V E S T O R D A Y NEW EXISTING Memory Database Runtime AI Retrieval Capabilities Voyage AI Atlas Agent Engine introduces new components to our platform that drive Atlas consumptionI N V E S T O R D A Y Atlas Agent Engine delivers Builders the critical capabilities to get agents into production MONGODB HYPERSCALERS MODEL PROVIDERS ANALYTICS PLATFORMS Multi-LLM Native Memory & Context Run Anywhere Agent & Tool Isolation Centralized Cost & Policy Guardrails MEMORY & CONTEXT-AWARE SECURE & GOVERNED OPEN & FLEXIBLE Enterprise Proven OLTPI N V E S T O R D A Y Showing up for Builders Our platform is perfect for AI New capabilities get agents to production AGENT ENGINE Why MongoDB wins in AII N V E S T O R D A Y Emergent Labs Madhav Jha Co-founder & CTO Emergent Labs CUSTOMER CONVERSATIONI N V E S T O R D A Y GO-TO-MARKET & PARTNERSHIPS Ryan Mac Ban Chief Revenue OfficerI N V E S T O R D A Y WHY MONGODB, WHY NOW PEOPLE TECHNOLOGY TIMINGI N V E S T O R D A Y There’s never been a better time to be a customer, or a better time to lead, at MongoDB .I N V E S T O R D A Y 6 quarters Consecutive Atlas net dollar growth 29% YoY Atlas growth for 5 quarters 36% YoY EA growth 70,000 + Customers 2,900 New customers 17% Growth in number of $100K+ & $1M+ ARR customers As of Q2FY27 Q2 continued to deliver outstanding resultsI N V E S T O R D A Y Executive Buyer Engagement GTM Platform Specialization Legacy Migration Opportunity and Partners WHERE WE WILL INVEST 01. 02 . 03.Our path is accelerated through the executives in the enterprise$5B+ 200+ 01 Executive Buyer Engagement customer engagements in Q2 across MongoDB executive suite I N V E S T O R D A Y Going deeper, wider across the enterprise Investing in vertical depth 01 Region Specific Investment 02 03 FINANCIAL SERVICES HEALTH CARE DIGITAL & AI NATIVES PUB SEC APJUS FEDI N V E S T O R D A Y 70K Customers Upsell and Cross-sell Opportunity 02 GTM Platform Specialization Platform Specialization converts innovation into revenue Continuous Feedback Loop keeps our roadmap aligned with customer needs Atlas Reacceleration while scaling new productsI N V E S T O R D A Y $10B TAM 03 Legacy Migration Opportunity and Partners AI Tooling has transformed the modernization process Oracle, SQL, relational workloads can migrate to MongoDB at record pace. Two Parallel Channels ● Direct to existing customers ● Partner-led to new markets+ MongoDB AMPI N V E S T O R D A Y THIS IS OUR PATH TO $5B+ AND DRIVING DURABLE GROWTH Executive Buyer Engagement GTM Platform Specialization Legacy Migration Opportunity and Partners 01. 02 . 03.I N V E S T O R D A Y Erica Volini Chief Customer Officer GO-TO-MARKET & PARTNERSHIPSI N V E S T O R D A Y 1998 2021 2026 Ensure an outstanding customer experience . Remit of the Chief Customer Officer:WE NEED AN ECOSYSTEM No one wins the AI era alone. to embed the MongoDB data platform where enterprise decisions are actually being made.I N V E S T O R D A Y Customers judge value on the output Enterprises are launching AI pilots Transformation means rethinking your technology Customers judge value on the outcome Enterprises are launching AI in production Transformation means rethinking how work gets done WHERE WE WERE WHERE WE ARE GOING THE SHIFTS DRIVING OUR PARTNER STRATEGYI N V E S T O R D A Y Partners will be our scale engine to surpass $5B+I N V E S T O R D A Y FOUR LEVERS THAT POWER OUR ECOSYSTEM Data layer in SI agentic stacks 01 Co-innovate with hyperscalers and neo-clouds 02 Integrate across the AI ecosystem 03 04 Embed with industry ISVsI N V E S T O R D A Y 01 Integrating across every aspect of the AI ecosystem.I N V E S T O R D A Y 01 AI ecosystem FRAMEWORKS API BUILDER PLATFORMS MongoDB is investing to become the default data platform anywhere modern builders already work. FRONTIER LABSI N V E S T O R D A Y 01 AI ecosystem 460+% YoY influenced revenue growth 15+ Live integrations 220K Weekly downloadsI N V E S T O R D A Y 02 Becoming the default, embedded data layer inside SI agentic stacks.I N V E S T O R D A Y Six of the world’s largest SIs are embedding MongoDB’s data platform into their agentic stacks 02 SI agentic stacksI N V E S T O R D A Y SI launch partners are already using and selling Atlas Agent Engine USE CASES IDENTIFIED ACROSS THE ENTERPRISE SI partners are poised to be the delivery and implementation engine for agentic transformation with MongoDB OIL & GAS ASSISTANT CONTACT CENTER MANAGEMENT BUSINESS LOAN PLATFORM FORECASTING SPACE UTILIZATION FRAUD PREVENTION UNDERWRITING CLAIM PROCESSING DATA VALIDATION OIL & GAS ASSISTANT FRAUD PREVENTION UNDERWRITING SPACE UTILIZATION CLAIM PROCESSING CONTACT CENTER MANAGEMENT BUSINESS LOAN PLATFORM FORECASTING DATA VALIDATION 02 SI agentic stacksI N V E S T O R D A Y 99 “Combined with Accenture’s governance, architecture, and deep industry expertise, MongoDB Atlas Agent Engine creates a powerful foundation for accelerating AI transformation and delivering outcomes at scale.” “Cognizant designs, orchestrates and operationalizes agentic systems across the AI lifecycle, and MongoDB's Atlas Agent Engine is designed to give that work a governed, context-aware foundation to build on” “By combining TCS’s ‘Smart data for smarter AI’ framework with MongoDB's Atlas Agent Engine, we help enterprises create a context-aware foundation where agents can understand business meaning, reason with confidence, and act in real time." “By combining Infosys Topaz and our experience in helping enterprises navigate large-scale AI transformation with Atlas Agent Engine, we are enabling clients to build intelligent systems that can reason, adapt, and deliver value in real-world business environments.”02 SI agentic stacks - Ram Ramalingam Global Lead, SW Engineering and Head of RDE - Balakrishna D. R. EVP and Global Services Head, AI and Industry Verticals - Naveen Sharma Global Head of AI & Analytics - Satish Byravan Global Head, Data & AnalyticsI N V E S T O R D A Y 03 Co-innovating with leading hyperscalers and neo-clouds.I N V E S T O R D A Y Named a Partner of the YearI N V E S T O R D A Y 03 Hyperscalers neo-clouds Customers’ choice in cloud providers has exploded in recent yearsI N V E S T O R D A Y Building and scaling with cloud providers ● Expanding existing cloud partnerships ● Establish new speciality and neo-cloud partnerships ● Co-innovating to deliver customer outcomes togethertransaction volume moved every 24 hours payments at peak months to production £1.5B3M <8 "Possibly a world first, definitely a UK first — and all powered by MongoDB." - Schoonderwoerd, Nationwide + 2 hyperscalers+I N V E S T O R D A Y 04 Becoming the default data platform for industry ISVs.I N V E S T O R D A Y 106 Ada's AI-powered customer service automation platform is built on MongoDB Atlas , using Change Streams & Queryable Encryption to train models in real time while keeping conversations private. 04 Industry ISVs Their industry-leading clinical research platform is integrating MongoDB EA so customers can opt-in to both research services and data management at once. BigID runs on MongoDB Atlas , with Vector Search, to catalog and protect sensitive data across structured and unstructured sources. INDUSTRY SOLUTION Emergent Labs' vibe coding AI platform runs on MongoDB Atlas as its default database. Flexible schema lets agents evolve app data structures on the fly. Nearly 2 million apps built (50,000+ deployed) in four months. CYBER CX AI PLATFORM MEDICAL A workload secured by an ISV can become a workload won for MongoDB. Clinical Research & Healthcare LeaderI N V E S T O R D A Y FOUR LEVERS THAT POWER OUR ECOSYSTEM Data layer in SI agentic stacks 01 Co-innovate with hyperscalers and neo-clouds 02 Integrate across the AI ecosystem 03 04 Embed with industry ISVsTHE REACH IS THEIRS. WHAT POWERS IT IS OURS.109I N V E S T O R D A Y Safe Harbor This presentation and the accompanying oral presentation have been prepared by MongoDB, Inc. (“MongoDB” or the “company”) for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise or representation by the presenter or MongoDB or any officer, director, employee, agent or advisor of MongoDB. This presentation does not purport to be all-inclusive or to contain all of the information you may desire. Information provided in this presentation speaks only as of the date hereof, unless otherwise indicated. This presentation contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including but not limited to statements regarding our financial outlook, financial guidance for fiscal 2027 and beyond, long-term financial targets, product development, business strategy and plans, market trends and market size and opportunities, our ability to continue to increase revenue from our Atlas platform, and the expected financial impact of AI adoption and new product innovations. 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Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the effects of ongoing geopolitical instability, including the conflict in Iran, the unrest in Mexico, the conflicts between Russia and Ukraine, Israel and Hamas and recent events in Venezuela, on our business and future operating results; economic downturns and/or the effects of, changes in trade policies, rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; reputational harm or other adverse consequences resulting from use of AI and ML in our product offerings and internal operations if they do not produce the desired benefits; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements, including AI and ML, for both traditional and emerging use cases; social, ethical, regulatory and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; our ability to continue to increase revenue from our Atlas platform; the effects of social, ethical and regulatory issues relating to the use of new and evolving technologies, such as AI and ML, in our offerings or partnerships; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to work with our strategic partners effectively; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the section entitled “Risk Factors” in our Annual Report on Form 10-K for the fiscal year ended January 31, 2026 and our Quarterly Report on Form 10-Q for the quarter ended July 31, 2026 and in other filings and reports we may file from time to time with the SEC. This presentation includes market and industry data and forecasts that the company has derived from independent consultant reports, publicly available information, various industry publications, other published industry sources, and its internal data and estimates. Independent consultant reports, industry publications and other published industry sources generally indicate that the information contained therein was obtained from sources believed to be reliable. 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Subsequent materials may be provided by or on behalf of the company in its discretion and such information may supplement, modify or supersede the information in these materials. Neither the company, nor any of its respective affiliates, advisors or representatives shall have any liability whatsoever (in negligence or otherwise) for any loss or damage howsoever arising from any use of these materials or their contents or otherwise arising in connection with these materials. This presentation includes the following financial measures defined as non-GAAP financial measures by the SEC: non-GAAP income from operations, non-GAAP operating margin, free cash flow and free cash flow conversion. Non-GAAP income from operations and non-GAAP operating margin exclude expenses associated with stock-based compensation including employer payroll taxes upon the vesting and exercising of stock-based awards and expenses related to stock appreciation rights previously issued to our employees in China, amortization of intangible assets for the acquired technology and acquired customer relationships associated with prior acquisitions, certain acquisition-related costs and other, including due diligence costs, professional fees in connection with an acquisition and certain integration-related expenses, legal costs and settlement fees incurred in connection with non-ordinary course litigation, particularly ongoing securities litigation, and restructuring costs associated with a formal restructuring plan that are primarily related to workforce reductions. The Company excludes these expenses because they are not reflective of ordinary course ongoing business and operating results. Free cash flow represents net cash from/used in operating activities, less capital expenditures, principal payments of finance lease liabilities and capitalized software development costs, if any. MongoDB uses free cash flow to understand and evaluate its liquidity and to generate future operating plans. The exclusion of capital expenditures, principal payments of finance lease liabilities and amounts capitalized for software development facilitates comparisons of MongoDB's liquidity on a period-to-period basis and excludes items that it does not consider to be indicative of its liquidity. MongoDB believes that free cash flow is a measure of liquidity that provides useful information to investors in understanding and evaluating the strength of its liquidity and future ability to generate cash that can be used for strategic opportunities or investing in its business in the same manner as MongoDB's management and board of directors. MongoDB uses these non-GAAP financial measures internally in analyzing its financial results and believes they are useful to investors, as a supplement to GAAP measures, in evaluating MongoDB's ongoing operational performance. MongoDB believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating ongoing operating results and trends and in comparing its financial results with other companies in MongoDB's industry, many of which may present similar non-GAAP financial measures to investors. Non-GAAP financial measures have limitations as an analytical tool and should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. In particular, other companies may report non-GAAP income from operations, non-GAAP operating margin, free cash flow and free cash flow conversion or similarly titled measures but calculate them differently, which reduces their usefulness as comparative measures. Investors are encouraged to review the reconciliation of these non-GAAP financial measures to their most directly comparable GAAP financial measures, as presented below. This presentation and any future presentations containing such non-GAAP reconciliations can also be found on the Investor Relations page of MongoDB's website at https://investors.mongodb.com. With respect to our forward-looking non-GAAP financial measures, we have not provided a reconciliation of (i) non-GAAP free cash flow conversion to the most directly comparable GAAP measure for FY 2027 guidance or (ii) all forward-looking non-GAAP financial measures included in this presentation to the most directly comparable GAAP measures for long-term future guidance beyond FY 2027, because certain items are out of our control or cannot be reasonably predicted without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from these non-GAAP measures, in particular stock-based compensation expense. Except as required by law, we undertake no obligation to update any forward-looking statements included in this presentation as a result of new information, future events, changes in expectations or otherwise. Nothing in this presentation is, and should not be construed as, an offer to sell or a solicitation of an offer to buy, any securities.I N V E S T O R D A Y FINANCIAL UPDATE Mike Berry Chief Financial OfficerI N V E S T O R D A Y 112 Themes of the discussion today 01 Strong track record of following through on commitments Strong track record of following through on commitments 02 Growth is real and durable The growth is real and durable Revenue growth drives margin expansion03 AI and new product innovations are growth vectors04 Long-term model reflects confidence in growth and operating leverage05I N V E S T O R D A Y 01 HITTING OUR COMMITMENTSI N V E S T O R D A Y 114 We are delivering on our commitments Atlas Growth: 20%+ 28.7% ~27% (1) Current guidance are forward looking statements as of September 1, 2026. The presentation does not constitute re-affirmation or update to guidance as of any other date. See Safe Harbor for important information about these assumptions and forward-looking statements. (2) Operating Margin and FCF Conversion are non-GAAP measures. A reconciliation of these non-GAAP measures to the most directly comparable GAAP measures for historical periods is included in the Appendix to this presentation. (3) FCF Conversion is defined as free cash flow / non-GAAP income from operations. (4) Reconciliations of forward-looking non-GAAP free cash flow conversion to the most directly comparable GAAP measure are not available without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure. EA & Other Growth: low-to-mid single digits 7.3% ~11% Revenue Growth: high teens 22.8% 21-23% Operating Margin (2): 100-200 bps on average every year 18.5% (+360 bps YoY) ~21.0% (+250 bps YoY) FCF Conversion (2, 3, 4): 80-100% 108% FCF Conversion Upper-end of target range INVESTOR DAY FY26 COMMITMENTS FY26 ACTUALS FY27 GUIDANCE (1) (High End)I N V E S T O R D A Y We provided more visibility into the business Providing guidance for Atlas revenue growth As of Q2 FY26 Sharing EA & Other ARR growth As of Q2 FY26 Introducing the long-term model As of September FY26I N V E S T O R D A Y 02 GROWTH IS REAL & DURABLEI N V E S T O R D A Y +12% CAGR 2026 to 2030 We are pursuing a large and growing market opportunity 117 Past (2024-2025) Future (2026-2030) Note: All figures in USD billions. | Source: IDC Database Management Systems Software TAM (September 2026). 2024 2025 2026 2027 2028 2029 2030 $93 $108 $123 $139 $156 $174 $193I N V E S T O R D A Y 118 Atlas and EA are both healthy, independent growth engines (1) Current guidance are forward-looking statements as of September 1, 2026. This presentation does not constitute re-affirmation or update to guidance as of any other date. See Safe Harbor for important information about these assumptions and forward-looking statements. (2) EA & Other growth refers to the year-over-year growth rate for EA & Other subscription revenue only and does not include Professional Services revenue. We have a history of strong revenue growth Total Revenue ($M) $381 $492 FY22 $874 $476 $808 $578 $1,105 $601 $1,405 $656 $1,808 FY23 FY24 FY25 FY26 FY27 Guidance (High End)1 $1,284 $1,683 $2,006 $2,464 $3,030 +28% CAGR Atlas EA & Other + Services 2I N V E S T O R D A Y 119 Net Atlas Revenue Added Year-Over-Year ($M) Atlas revenue dollars have grown year-over-year for the past 6 quarters Atlas Revenue Added Year-Over-Year ($M) Q1 FY25 $76 FY26 FY27 Guidance (High End)1 $72 $76 $76 $82 $99 $108 $114 $117 $127 Q2 FY25 Q3 FY25 Q4 FY25 Q1 FY26 Q2 FY26 Q3 FY26 Q4 FY26 Q1 FY27 Q2 FY27I N V E S T O R D A Y Note: EA & Other growth refers to the year-over-year growth rate for EA & Other subscription revenue only and does not include Professional Services revenue. Please refer to the appendix for the definition of ARR. EA is also exhibiting solid growth Quarterly EA & Other ARR Growth Customers continue to expand their self-managed footprints to support both traditional and AI applications 7% 5% 10% 3% 7% 7% 8% 13% 11% 11% Q1 FY25 Q2 FY25 Q3 FY25 Q4 FY25 Q1 FY26 Q2 FY26 Q3 FY26 Q4 FY26 Q1 FY27 Q2 FY27I N V E S T O R D A Y 20,200 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 29,000 37,000 45,000 50,700 59,900 70,600 23% CAGR Total Customers 819 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 1,126 1,462 1,855 2,189 2,564 2,999 24% CAGR $100K+ Customers 75 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 123 177 249 292 370 434 34% CAGR $1M+ Customers $5M+ Customers 6 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 14 25 39 45 62 57% CAGR 90 Our largest customer segments are growing fastest, reflecting our move up-market Note: Customer cohorts are based on Total ARR. Please refer to the appendix for the definition of ARR.I N V E S T O R D A Y Note: Growth factors (e.g., 26x for <$100k) are calculated as Q2FY27 ARR / Q2FY18 ARR. Please refer to the appendix for the definition of ARR. 122 Our customers continue to expand, led by our largest accounts Q2 FY18 Q2 FY19 Q2 FY20 Q2 FY21 Q2 FY22 Q2 FY23 Q2 FY24 Q2 FY25 Q2 FY26 Q2 FY27 $5M+: 34x $1M-$5M: 22x $500K-$1M: 23x $100K-$500K: 23x <$100K: 26x ARR Growth by Customer Size ($M)I N V E S T O R D A Y Note: EA & Other growth refers to the year-over-year growth rate for EA & Other subscription revenue only and does not include Professional Services revenue. Please refer to the appendix for the definition of ARR. 123 ● Atlas ARR growth is consistent with revenue growth ● EA & Other ARR growth has accelerated each year and has been double-digits for the past 3 quarters ● Total Subscription ARR growth has accelerated each year Total ARR has grown the last two years ARR by Product ($M) & YoY ARR Growth Q2 FY25 $1,877 $1,367 $510 $2,309 $1,765 $544 $2,281 $605 $2,886 22% 25%23% Q2 FY26 Q2 FY27 Atlas ARR EA & Other ARR Total Subscription ARR GrowthI N V E S T O R D A Y 03 REVENUE GROWTH DRIVES MARGINI N V E S T O R D A Y 125 …and we continue to invest to drive growth Revenue Growth and Operating Margin % Revenue Growth Operating Margin % (1) FY25 19.2% FY26 FY27 Guidance (2) (High End) 14.9% 18.5% 21.0% 22.8% 23.0% Leverage is showing up in the model… (1) Operating Margin is a non-GAAP measure. A reconciliation of non-GAAP measures to the most directly comparable GAAP measures for historical periods is included in the Appendix to this presentation. (2) Current guidance are forward looking statements as of September 1, 2026. This presentation does not constitute re-affirmation or update to guidance as of any other date. See Safe Harbor for important information about these assumptions and forward-looking statements.I N V E S T O R D A Y Key investment areas ● Strengthening our core database capabilities to meet the demands of AI. Examples include: ○ Full Text Search and Vector Search on EA ○ MongoDB 9.0 ○ Atlas Infinite ○ Atlas Managed MCP Server ○ Voyage AI Models & AI Database Integrations ● Launching new products like Atlas Agent Engine that move us beyond the data layer into the agent stack ● Engaging with executive buyers to support our up-market focus ● Building GTM platform specialization to drive faster adoption of new product innovations ● Capturing legacy migration opportunities ● Deepening our partner ecosystem ● Continuing strategic geo and vertical investments like Japan and US Public Sector Innovation / R&D Go-to-marketI N V E S T O R D A Y (1) Shares outstanding used in the EPS calculation is based on forecasted diluted weighted-average shares outstanding based on the information available as of September 1, 2026. (2) Current guidance are forward looking statements as of September 1, 2026. This presentation does not constitute re-affirmation or update to guidance as of any other date. See Safe Harbor for important information about these assumptions and forward-looking statements. We expect to reach GAAP profitability this year SBC as a % of revenue FY23 FY24 FY25 FY26 FY27 YTD 0% 10% 20% 30% 40% 30% 27% 25% 22% 20% GAAP EPS ($) $0 FY23 FY24 FY25 FY26 FY27 Guidance (1, 2) (High End) -$5.03 -$2.48 -$1.73 -$0.88 $0.77I N V E S T O R D A Y 128 w Note: FCF and FCF Conversion are non-GAAP measures. A reconciliation of the non-GAAP measures to the most directly comparable GAAP measures for historical periods is included in the Appendix to this presentation. (1) FCF Conversion is defined as free cash flow / non-GAAP income from operations. Our business model is generating meaningful cash flow Historical Trend Current FY23 FY24 FY25 FY26 110 114 335 -25 41% 38% 108% -40% FCF ($M) FCF Conversion % (1) 1H FY26 1H FY27 176 108% 101% FCF ($M) FCF Conversion % (1) 493I N V E S T O R D A Y 04 AI and NEW PRODUCT INNOVATIONSI N V E S T O R D A Y Vector Search customer count growth in 2 years Strong signals of AI adoption across our customer base Vector Search - Customer Count Atlas Multi-Feature (1) - % of Atlas Customers with $100K+ ARR (1) Multi-feature is defined as Atlas customers leveraging two or more features on our platform. Q2 FY25 Q2 FY26 Q2 FY27 Driven by Vector Search and Full Text Search adoption. Q2 FY25 Q2 FY26 Q2 FY27 ~3x in 2 years 34% 42% 48% 4xI N V E S T O R D A Y Q2 FY27 Note: A workload is considered attributable to AI if it is using our vector search feature, is using an AI-related driver, or belongs to a company that was admitted to and participating in either the MongoDB AI Applications Program (“MAAP”) or the MongoDB AI Innovators Program (“MAIP”). ~30% 30% YoY We are seeing traction from AI use cases % of Atlas ARR from Customers with at least one AI Use Case Q2 FY26 ~40%I N V E S T O R D A Y Note: AI Natives are defined as companies whose core product would not exist without modern generative or deep-learning AI — the application itself is the AI capability (e.g., generative media, agents, AI-native vertical workflows). Excludes traditional SaaS that added AI as a feature. This AI native cohort makes up low single-digits of Atlas revenue 1,200+ 1,700+ 2,200+ AI revenue impact is still small, but growing rapidly AI Natives - Customer Count AI Natives - Revenue and Growth Q2 FY25 Q2 FY26 Q2 FY27 ~2x in 2 years Q2 FY25 Q2 FY26 Q2 FY27 67% 129% 165% Atlas Revenue from AI Natives YoY Growth %I N V E S T O R D A Y Decouples compute & storage ● Perfectly suited for the bursty nature of AI agent workloads ● Positions MongoDB to win more opportunities where compute & storage separation are critical ● Initial revenue contributions expected to ramp in FY28, more meaningful impact in FY29+ Open, secure & governed agentic infrastructure ● Moves MongoDB beyond the data layer into the agent stack ● Creates a new, incremental revenue opportunity as enterprise agents move into production ● Initial revenue contributions expected in FY28, more meaningful impact in FY29+ New product innovations will enhance our position as the best intelligent data platform for the AI era Atlas Infinite Atlas Agent Engine Full Text Search, Vector Search & Hybrid Search ● Expands EA from a database into a full AI-ready platform ● Creates incremental EA monetization through new search and vector search licenses ● Launched June 30, 2026 with early revenue contributions beginning this fiscal year EA FeaturesI N V E S T O R D A Y 05 FINANCIAL TARGETSI N V E S T O R D A Y 135 Long-term financial targets (1) Updated long-term financial targets include forward looking statements as of September 29, 2026. See Safe Harbor for important information about these forward-looking statements. (2) Operating Margin and FCF Conversion are non-GAAP measures. (3) FCF Conversion is defined as free cash flow / non-GAAP income from operations. (4) Reconciliations of forward-looking non-GAAP operating margin to the most directly comparable GAAP measures are not available beyond FY 2027 without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure. (5) Reconciliations of forward-looking non-GAAP free cash flow conversion to the most directly comparable GAAP measure are not available without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure. TARGETS PRIOR (3-5 YEARS) UPDATED (~3 YEARS) (1) Total revenue growth High teens 20%+ Atlas revenue growth 20%+ Mid-20% 20%+ (100-200 bps expansion on average every year) Operating margin (2, 4) FCF conversion (2, 3, 5) 80-100% GAAP profitability -- EA & Other ARR growth Low-to-mid single digitsI N V E S T O R D A Y (1) Updated long-term financial targets include forward looking statements as of September 29, 2026. See Safe Harbor for important information about these forward-looking statements. Targeted upsides to Atlas long-term target Atlas YoY Revenue Growth (%) ● Enterprise AI workloads ● AI native contribution ● New product innovations ● App modernization ● Partnerships Targeted Sources of Upside Updated Long-term Targets (1) (~3 Yrs) Prior Long-term Targets (3-5 Yrs) Updated Long-term Targets (1) (~3 Yrs) Prior Long-term Targets (3-5 Yrs) 20%+ Mid-20% Mid-20%I N V E S T O R D A Y 137 Long-term financial targets (1) Updated long-term financial targets include forward looking statements as of September 29, 2026. See Safe Harbor for important information about these forward-looking statements. (2) Operating Margin and FCF Conversion are non-GAAP measures. (3) FCF Conversion is defined as free cash flow / non-GAAP income from operations. (4) Reconciliations of forward-looking non-GAAP operating margin to the most directly comparable GAAP measures are not available beyond FY 2027 without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure. (5) Reconciliations of forward-looking non-GAAP free cash flow conversion to the most directly comparable GAAP measure are not available without unreasonable efforts due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure. TARGETS PRIOR (3-5 YEARS) UPDATED (~3 YEARS) (1) Total revenue growth High teens 20%+ Atlas revenue growth 20%+ Mid-20% 20%+ (100-200 bps expansion on average every year) Operating margin (2, 4) FCF conversion (2, 3, 5) 80-100% GAAP profitability -- EA & Other ARR growth Low-to-mid single digits 100-200 bps expansion on average every year 80-100% GAAP profitability starting in FY27 10%+ growthI N V E S T O R D A Y 138 Continue to generate strong FCF Manage dilution by leveraging FCF for share buybacks Pursue disciplined acquisitions that accelerate our product roadmap or open adjacencies Capital allocation strategyI N V E S T O R D A Y 139 Key takeaways from the day Core products We are confident about the durability of growth for both Atlas and EA Business model Revenue growth funds investment and drives margin expansion to support our new long-term financial targets Team We have proven execution and the right team to keep hitting our commitments AI and new innovations AI momentum is building but still early, and new innovations strengthen our right to win Market opportunity We are seeing strong traction in a large and growing market, and we still have a relatively small shareI N V E S T O R D A Y 140 Q&AINVESTOR DAY 2026 September 29, 2026I N V E S T O R D A Y 142 APPENDIXI N V E S T O R D A Y This presentation includes the following financial measures defined as non-GAAP financial measures by the SEC: non-GAAP income from operations, non-GAAP operating margin, free cash flow and free cash flow Non-GAAP income from operations and non-GAAP operating margin exclude expenses associated with stock-based compensation including employer payroll taxes upon the vesting and exercising of stock-based awards and expenses related to stock appreciation rights previously issued to our employees in China, amortization of intangible assets for the acquired technology and acquired customer relationships associated with prior acquisitions, certain acquisition-related costs and other, including due diligence costs, professional fees in connection with an acquisition and certain integration-related expenses, legal costs and settlement fees incurred in connection with non-ordinary course litigation, particularly ongoing securities litigation, and restructuring costs associated with a formal restructuring plan that are primarily related to workforce reductions. The Company excludes these expenses because they are not reflective of ordinary course ongoing business and operating results. Free cash flow represents net cash from/used in operating activities, less capital expenditures, principal payments of finance lease liabilities and capitalized software development costs, if any. MongoDB uses free cash flow to understand and evaluate its liquidity and to generate future operating plans. The exclusion of capital expenditures, principal payments of finance lease liabilities and amounts capitalized for software development facilitates comparisons of MongoDB’s liquidity on a period-to-period basis and excludes items that it does not consider to be indicative of its liquidity. MongoDB believes that free cash flow is a measure of liquidity that provides useful information to investors in understanding and evaluating the strength of its liquidity and future ability to generate cash that can be used for strategic opportunities or investing in its business in the same manner as MongoDB’s management and board of directors. Free cash flow conversion is defined as free cash flow divided by non-GAAP income from operations. MongoDB uses these non-GAAP financial measures internally in analyzing its financial results and believes they are useful to investors, as a supplement to GAAP measures, in evaluating MongoDB’s ongoing operational performance. MongoDB believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating ongoing operating results and trends and in comparing its financial results with other companies in MongoDB’s industry, many of which may present similar non-GAAP financial measures to investors. Non-GAAP financial measures have limitations as an analytical tool and should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. In particular, other companies may report non-GAAP income from operations, non-GAAP operating margin and free cash flow or similarly titled measures but calculate them differently, which reduces their usefulness as comparative measures. Investors are encouraged to review the reconciliation of these non-GAAP financial measures to their most directly comparable GAAP financial measures, as presented below. Operating margin and free cash flow conversion are non-GAAP. Reconciliations of non-GAAP operating margin to the most directly comparable GAAP measures for long-term guidance beyond FY 2027 are not available without unreasonable efforts on a forward-looking basis due to the high variability, complexity and low visibility with respect to the charges excluded from this non-GAAP measure and the lack of a timeline for the achievement of said long-term financial model. Reconciliations of non-GAAP free cash flow conversion to the most directly comparable GAAP measure are not available without unreasonable efforts on a forward-looking basis, including for FY 2027 guidance and the long-term financial targets, due to the high variability, complexity and low visibility with respect to the items excluded from free cash flow. This presentation and any future presentations containing such non-GAAP reconciliations can also be found on the Investor Relations page of MongoDB’s website at https://investors.mongodb.com. Non-GAAP Financial MeasuresI N V E S T O R D A Y We calculate annualized recurring revenue (“ARR”) to help us measure our subscription revenue performance. ARR includes the revenue we expect to receive from our customers over the following 12 months based on contractual commitments and, in the case of direct sales customers of Atlas, by annualizing the prior 90 days of their actual usage of Atlas, assuming no increases or reductions in their subscriptions or usage. For all other customers of our self-serve products, we calculate ARR by annualizing the prior 30 days of their actual usage of such products, assuming no increases or reductions in usage. ARR excludes professional services. Enterprise Advanced + Other annualized recurring revenue (“ARR”) includes the revenue we expect to receive from our customers over the following 12 months based on contractual commitments for subscription products excluding Atlas. DefinitionsI N V E S T O R D A Y GAAP to Non-GAAP Reconciliations Reconciliation of GAAP income (loss) from operations to non-GAAP income from operations: Six Months Ended (in thousands, unaudited) 2025 2026 2023 2024 2025 2026 Income (loss) from operations on a GAAP basis $(118,848) $3,596 $(346,655) $(233,732) $(216,064) $(136,968) GAAP operating margin (Income (loss) from operations/Total revenue) (10%) 0% (27%) (14%) (11%) (6%) Add back: Expenses associated with stock-based compensation 280,662 297,687 399,449 493,588 512,177 574,372 Restructuring 4,772 357 — — — 4,713 Amortization of intangible assets 5,732 6,249 9,180 10,572 3,163 12,121 Legal fees related to securities litigation — 581 — — — — Certain acquisition-related costs and other 1,930 579 — — — 1,934 Non-GAAP income from operations $174,248 $309,409 $61,974 $270,428 $299,276 $456,172 Non-GAAP operating margin (Non-GAAP income from operations/Total revenue) 15% 21% 5% 16% 15% 19% 2023 2024 2025 2026 -$346,655 -$233,732 -$216,064 -$136,968 -27% -14% -11% -6% 399,449 493,588 512,177 574,372 — — — 4,713 9,180 10,572 3,163 12,121 — — — — — — — 1,934 $61,974 $270,428 $299,276 $456,172 5% 16% 15% 19% Years Ended January 31, (in millions of U.S. dollars, except share and per share data, unaudited) Full Year Fiscal 2027 Revenues expected to be in the range of $2.99 billion to $3.03 billion Income (loss) from operations – GAAP guidance $(28.0) to $(8.0) Add back: Expenses associated with stock-based compensation 628.9 Restructuring 0.4 Amortization of intangible assets 12.6 Legal fees related to securities litigation 1.6 Certain acquisition-related costs and other 0.8 Income (loss) from operations – non-GAAP guidance $616.3 to $636.3 Non-GAAP operating margin expected to be in the range of 20.6% to 21.0% (in thousands, unaudited) 2025 2026 2023 2024 2025 2026 Net cash provided by operating activities $182,034 $343,509 $(12,970) $121,477 $150,191 $505,148 Capital expenditures $(2,148) $(4,791) $(7,244) $(6,074) $(29,550) $(4,960) Principal payments of finance leases $(4,085) $(3,554) $(4,510) $(5,483) $(6,179) $(7,539) Free cash flow $175,801 $335,164 $(24,724) $109,920 $114,462 $492,649 Non-GAAP free flow conversion (Free cash flow/Non-GAAP income from operations) 101% 108% (40%) 41% 38% 108% Reconciliation of net cash provided by operating activities to non-GAAP free cash flow Six Months Ended Years Ended January 31, Reconciliation of GAAP Guidance to Non-GAAP Guidance
29 Sep
8-K
MongoDB Announces CEO Transition Chirantan “CJ” Desai to Step Down as President and Chief Executive Officer Dev Ittycheria Appointed Interim President and Chief Executive Officer NEW YORK, Sept. 28, 2026 -- MongoDB, Inc. (NASDAQ: MDB) today announced that Chirantan “CJ” Desai has stepped down as President and CEO of MongoDB, effective immediately. Desai is leaving to pursue a senior role at Meta Platforms, Inc. The Board has appointed Dev Ittycheria as interim President and CEO, also effective immediately. Ittycheria served as President and CEO of MongoDB from 2014 to 2025, an eleven-year tenure. During his leadership, MongoDB grew from an early-stage disruptor into a global technology leader, scaling from approximately $35 million to more than $2.3 billion in annual revenue. "MongoDB’s business is strong, and there is no better person to take on the role of President and CEO in the interim than Dev Ittycheria," said Tom Killalea, Chairman of the Board of Directors. “He knows this company deeply, has remained an involved and active executive board member over the past year, and will step in immediately to ensure a seamless transition.” “I’m honored to step back into the President and CEO role at MongoDB,” said Ittycheria. “I was privileged to lead the company for more than a decade and help build MongoDB into the global business it is today. I know the company, our people and our customers extremely well, and I have enormous confidence in the opportunity ahead. I look forward to working with our leadership team and thousands of talented employees around the world to move quickly, execute with focus, and continue delivering exceptional value to our customers.” The Board has initiated a search process to identify MongoDB’s next permanent CEO and has retained an executive search firm to assist in that process. The company remains confident in the outlook for the business and is reaffirming its guidance for Q3 and the full year fiscal 2027 provided on September 1st, 2026. Investor Day MongoDB will be hosting an Investor Day at Nasdaq MarketSite on Tuesday, September 29th from 11:00 am–3:15 pm ET. The MongoDB leadership team will share an in-depth look at our long-term strategy, market opportunities, and product innovation driving the future of developer data platforms and AI. We welcome you to join the live teleconference here.About MongoDB MongoDB is the intelligent data platform for the AI era. Headquartered in New York, MongoDB helps organizations move faster, build smarter, and simplify complex architectures on a unified platform for operational data, search, real-time analytics, and AI-powered retrieval, coupled with MongoDB Voyage AI's industry-leading embedding and reranking models. The platform is available as a fully managed service with MongoDB Atlas or self-managed with MongoDB Enterprise Advanced or Community Edition. Millions of developers and more than 70,000 customers, including approximately 75% of the Fortune 100, rely on MongoDB for their most important customer-facing applications. To learn more, visit mongodb.com. Forward-Looking Statements This press release includes certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning the Company’s leadership transition, the search for a permanent successor, the Company’s business outlook and guidance reaffirmation, and the Investor Day. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward- looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: our customers renewing their subscriptions with us and expanding their usage of software and related services; global political changes; the effects of the ongoing military conflicts between Russia and Ukraine and Israel and Hamas on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about ourbusiness and future operating results; liabilities, reputational harm or other adverse consequences resulting from use of AI in our product offerings and internal operations if they don’t produce the desired benefits; our limited operating history; our history of losses; our potential failure to repurchase shares of our common stock at favorable prices, if at all; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; social, ethical and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the effects of social, ethical and regulatory issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; our ability to manage leadership transitions; the ability of our executive leadership to drive innovation and execute at scale; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the caption “Risk Factors” in our Annual Report on Form 10-K for the fiscal year ended January 31, 2026 and our Quarterly Report on Form 10-Q for the quarter ended July 31, 2026. Additional information will be made available in our Quarterly Report on Form 10-Q for the quarter ended October 31, 2026, and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise. Contacts Investors
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28 Sep
8-K
Results of Operations and Financial Condition
1 Sep
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Amendments to Articles of Incorporation or Bylaws; Change in Fiscal Year
6 Jul
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Results of Operations and Financial Condition
28 May
8-K
Results of Operations and Financial Condition
2 Mar
8-K/A
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1 Dec 2025
8-K
Results of Operations and Financial Condition
1 Dec 2025
8-K
MongoDB Announces Leadership Transition Chirantan “CJ” Desai Appointed President and Chief Executive Officer Dev Ittycheria to Remain on the Board of Directors Q3 FY26 Results Expected Above the High-End of Guidance Ranges Driven by Strength in Atlas NEW YORK, November 3, 2025 -- MongoDB, Inc. (NASDAQ: MDB) today announced that its Board of Directors has appointed Chirantan “CJ” Desai as President and Chief Executive Officer (“CEO”), effective November 10, 2025. Desai succeeds Dev Ittycheria, who, after 11 years leading MongoDB, has decided to retire from a full-time operating role. Ittycheria will remain on MongoDB’s Board and serve as an advisor to Desai to ensure a seamless transition and continued execution of the Company’s long-term strategy. The appointment follows a comprehensive CEO search supported by an executive search firm to identify a next-generation leader with deep experience in cloud infrastructure, AI, enterprise software, and product innovation – someone equipped to guide the Company on its continued journey towards durable, profitable growth. “CJ brings an exceptional blend of product and engineering leadership, strong go-to-market execution, and firsthand experience scaling some of the world’s most transformative software companies,” said Tom Killalea, Chairman of the MongoDB Board of Directors. “From driving organic revenue growth at ServiceNow to innovating for the enterprise at Cloudflare, CJ has consistently demonstrated the ability to lead at scale. His deep understanding and early deployment of AI in the enterprise will be invaluable as MongoDB continues to deliver for its customers. CJ has the unanimous support of MongoDB’s Board, and we are thrilled to welcome a leader of his caliber as our next President and CEO.” Desai joins MongoDB as a respected technology leader with over 25 years of experience pioneering innovative technology solutions in cloud infrastructure, enterprise software, cybersecurity, AI, and large-scale SaaS platforms. Most recently, Desai served as President of Product and Engineering at Cloudflare, where he drove product strategy and execution during a period of strong revenue growth and stock performance for the company. Prior to Cloudflare, Desai served as President and Chief Operating Officer at ServiceNow, where he helped organically scale the company from $1.5 billion to over $10 billion in annualized revenue. Desai has also previously held executive roles at EMC and Symantec, and he began his career with Oracle as a key member of the team that launched the company’s first cloud service. “MongoDB has long been the partner of choice for building applications that transform businesses, and now it is uniquely positioned to power the next wave of AI-driven applications,” said CJ Desai, MongoDB’s incoming President and CEO. “My directive is clear: by staying relentlessly close to customers, delivering category-defining products, and executing at scale, we can seize the enormous opportunities ahead. I’m grateful for the foundation that Dev and the executive team have built and am honored to take the baton from Dev to guide MongoDB through its next phase of innovation and growth.”“On behalf of the Board, I’d like to thank Dev for his extraordinary leadership and enduring contributions during his long tenure at MongoDB,” said Killalea. “Over the past eleven years, he led one of the great growth stories in enterprise software, transforming MongoDB from an early-stage disruptor into a global technology leader. Dev’s strategic vision, operational discipline, and ability to attract world-class talent have set the company on a path of lasting success. He built not just a great business, but a culture that inspires people to do the best work of their careers. The Board is profoundly grateful for his leadership and his continued partnership.” “It has been the privilege of a lifetime to lead MongoDB since 2014, and I could not be prouder of what we have accomplished together,” said Dev Ittycheria, outgoing President and CEO of MongoDB. “Through relentless innovation, discipline, and teamwork, we transformed MongoDB into a global software leader with an enduring culture and a strong track record of execution. I am immensely grateful to our nearly 60,000 customers who have trusted and believed in us, to the incredible employees whose talent and dedication built this company into what it is today, and to our investors for their unwavering support and conviction in our mission. I have complete confidence in CJ’s leadership, experience, and judgment, and I look forward to supporting him and the executive team as they continue to build MongoDB into an iconic technology company.” Business Outlook Based on preliminary, unaudited results, the Company expects to exceed the high end of the provided third quarter fiscal year 2026 guidance for revenue, non-GAAP income from operations, and non-GAAP earnings per share, driven by continued strength in Atlas. MongoDB intends to report its finalized financial results for Q3 FY2026 on December 1, 2025. Investor Call MongoDB will host a conference call today, November 3, 2025, at 10:00 a.m. (Eastern Time) to discuss the leadership transition announced in this press release today. A live webcast of the call will be available on the "Investor Relations" page of MongoDB's website at https://investors.mongodb.com. To access the call by phone, please go to this link (registration link), and you will be provided with dial in details. To avoid delays, we encourage participants to dial into the conference call fifteen minutes ahead of the scheduled start time. A replay of the webcast will also be available for a limited time at http://investors.mongodb.com. About MongoDB Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform was built to power the next generation of applications, and MongoDB is the most widely available, globally distributed database on the market. With integrated capabilities for operational data, search, real-time analytics, and AI-powered data retrieval, MongoDB helps organizations everywhere move faster, innovate more efficiently, and simplify complex architectures. Millions of developers and more than 50,000 customers across industries – including over 75% of the Fortune 100 – rely on MongoDB for their most important applications. To learn more, visit mongodb.com.Forward-Looking Statements This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning MongoDB’s financial performance for the third fiscal quarter of fiscal year 2026, which preliminary financial results have not yet been reviewed by MongoDB’s independent public accounting firm and so are subject to revisions that could differ materially to finalized financial results. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: our customers renewing their subscriptions with us and expanding their usage of software and related services; global political changes; the effects of the ongoing military conflicts between Russia and Ukraine and Israel and Hamas on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance for the third quarter of fiscal year 2026 or other time periods or other expectations about our business and future operating results; liabilities, reputational harm or other adverse consequences resulting from use of AI in our product offerings and internal operations if they don't produce the desired benefits; our limited operating history; our history of losses; our potential failure to repurchase shares of our common stock at favorable prices, if at all; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; social, ethical and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the effects of social, ethical and regulatory issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; our ability to manage leadership transitions; the ability of our executive leadership to drive innovation and execute at scale; and the pricevolatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our Quarterly Report on Form 10-Q for the quarter ended July 31, 2025, filed with the SEC on August 27, 2025. Additional information will be made available in our Quarterly Report on Form 10-Q for the quarter ended October 31, 2025, and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise. Contacts Investors
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Media
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3 Nov 2025
8-K
Sept 17, 2025 Investor DaySafe Harbor This presentation and the accompanying oral presentation have been prepared by MongoDB, Inc. (“MongoDB” or the “company”) for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise or representation by the presenter or MongoDB or any officer, director, employee, agent or advisor of MongoDB. This presentation does not purport to be all-inclusive or to contain all of the information you may desire. Information provided in this presentation speaks only as of the date hereof, unless otherwise indicated. This presentation contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including but not limited to statements regarding our financial outlook, long-term financial targets, product development, business strategy and plans, market trends and market size and opportunities. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this presentation that are not historical facts and statements, and may be identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. In particular, the development, release, and timing of any features or functionality described for MongoDB products remains at MongoDB s̓ sole discretion. Product roadmaps do not represent a commitment, promise or legal obligation to deliver any material, code, or functionality and you should not rely on them to make your purchase decisions. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the effects of the ongoing military conflict between Russia and Ukraine and Israel and Hamas on our business and future operating results; economic downturns and/or the effects of changes in trade policies, rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; social, ethical, regulatory and security issues relating to the use of new and evolving technologies, such as artificial intelligence, in our offerings or partnerships; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market and increase market share; our ability to take advantage of market opportunities and drive growth and operating efficiency in new markets; our ability to increase Atlas consumption, expand operating margin, drive meaningful free cash flow and improve efficiency; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including in the section entitled “Risk Factors” in our Quarterly Report on Form 10-Q for the quarter ended July 31, 2025 and in other filings and reports we may file from time to time with the SEC. This presentation includes market and industry data and forecasts that the company has derived from independent consultant reports, publicly available information, various industry publications, other published industry sources, and its internal data and estimates. Independent consultant reports, industry publications and other published industry sources generally indicate that the information contained therein was obtained from sources believed to be reliable. Although the company believes that these third-party sources are reliable, it does not guarantee the accuracy or completeness of this information, and the company has not independently verified this information. The company's internal data and estimates are based upon information obtained from trade and business organizations and other contacts in the markets in which the company operates and management's understanding of industry conditions. Although the company believes that such information is reliable, it has not had this information verified by any independent sources. In addition, the information contained in this presentation is as of the date hereof (except where otherwise indicated), and the company has no obligation to update such information, including in the event that such information becomes inaccurate or if estimates change. Subsequent materials may be provided by or on behalf of the company in its discretion and such information may supplement, modify or supersede the information in these materials. Neither the company, nor any of its respective affiliates, advisors or representatives shall have any liability whatsoever (in negligence or otherwise) for any loss or damage howsoever arising from any use of these materials or their contents or otherwise arising in connection with these materials. Except as required by law, we undertake no obligation to update any forward-looking statements included in this presentation as a result of new information, future events, changes in expectations or otherwise. Nothing in this presentation is, and should not be construed as, an offer to sell or a solicitation of an offer to buy, any securities.Today’s Speakers Investor Day DEV ITTYCHERIA PRESIDENT & CEO JIM SCHARF CTO MIKE BERRY CFO MAY PETRY CMO FRED ROMA SVP, ATLAS DATA SERVICESCustomer Panel: MongoDB vs. Relational Key Drivers for Durable, Profitable Growth MIKE BERRY Agenda Introductions Break DEV ITTYCHERIA Product Competitive Positioning JIM SCHARF FRED ROMA AI Product Strategy Customer Panel: MongoDB in the AI era CISCO, DEVREV & TINYFISH Self–Serve & Product-Led Growth MAY PETRY Financial Update MIKE BERRY Q&A MIKE, DEV, JIM, FRED, MAY- 15 MINUTES ADOBE & MCKESSONSEPTEMBER 2025 Key Drivers for Durable, Profitable Growth DEV ITTYCHERIA CHIEF EXECUTIVE OFFICER MONGODBOur market is massive and growing What you’ll hear today & what you should take away AI significantly expands our market It’s not a winner-take-all market, but our differentiation is durable AMP is an incremental growth driver Multiple tailwinds will drive durable revenue growthSource: IDC, Data Management Software Market, All figures shown in USD billions 2021 2022 2023 2024 2025 2026 2027 2028 $150 $134 $119 $105 $93 $82 $73 $65 Our market is >$100B and growingEvery platform shift reduced cost of app development → AI no different, and will unlock many new use cases → drives demand for flexible, scalable DBs OLTP is strategic high ground for inference; agents need fast, transactional, real-time data for memory and state JSON is the lingua franca of AI; native JSON DBs best fit for messy, real-world data AI needs advanced search/retrieval (keyword and contextual) across structured and unstructured data → now a core DB requirement AI is a tailwind to our businessBefore we talk about AI: how did we get to where we are today?STAGE Year Revenues Key Challenges Key Product Differentiation GTM Breakthrough Core People Initiative MongoDB 1.0 → 3.0 1.0 2.0 3.0 2007-2014 $0 - ~$40M Bring innovation to a large but mature & competitive market Nail product-market fit with developer adoption Get customer validation Introduce Document Model Drive grassroots developer adoption & win lighthouse accounts Hire early risk-takers 2014-2025 ~$40M - ~$2B Build a durable, high-growth business Make open source an advantage, not a liability Transform into a cloud-first company Document Model suitable for cloud-based apps Comprehensive GTM strategy from direct sales to self-serve to partners with rigorous execution Build an enduring culture 2025+ ~$2B - $5B+ Redefine the database for the AI era Overcome the bias for relational Win larger & more strategic deals Document Model a natural fit for AI apps Solutions orientation to modernize legacy apps, & build new AI apps Develop the next set of leaders to scale to $5B+STAGE Year Revenues Key Challenges Key Product Differentiation GTM Breakthrough Core People Initiative MongoDB 1.0 → 3.0 1.0 2.0 3.0 2007-2014 $0 - ~$40M Bring innovation to a large but mature & competitive market Nail product-market fit with developer adoption Get customer validation Introduce Document Model Drive grassroots developer adoption & win lighthouse accounts Hire early risk-takers 2014-2025 ~$40M - ~$2B Build a durable, high-growth business Make open source an advantage, not a liability Transform into a cloud-first company Document Model suitable for cloud-based apps Comprehensive GTM strategy from direct sales to self-serve to partners with rigorous execution Build an enduring culture 2025+ ~$2B - $5B+ Redefine the database for the AI era Overcome the bias for relational Win larger & more strategic deals Document Model a natural fit for AI apps Solutions orientation to modernize legacy apps, & build new AI apps Develop the next set of leaders to scale to $5B+STAGE Year Revenues Key Challenges Key Product Differentiation GTM Breakthrough Core People Initiative MongoDB 1.0 → 3.0 1.0 2.0 3.0 2007-2014 $0 - ~$40M Bring innovation to a large but mature & competitive market Nail product-market fit with developer adoption Get customer validation Introduce Document Model Drive grassroots developer adoption & win lighthouse accounts Hire early risk-takers 2014-2025 ~$40M - ~$2B Build a durable, high-growth business Make open source an advantage, not a liability Transform into a cloud-first company Document Model suitable for cloud-based apps Comprehensive GTM strategy from direct sales to self-serve to partners with rigorous execution Build an enduring culture 2025+ ~$2B - $5B+ Redefine the database for the AI era Overcome the bias for relational Win larger & more strategic deals Document Model a natural fit for AI apps Solutions orientation to modernize legacy apps, & build new AI apps Develop the next set of leaders to scale to $5B+Year Revenues Key Challenges GTM Breakthrough Core People Initiative The document model is our foundation through every stage of growth 2007-2014 $0 - ~$40M Bring innovation to a large but mature & competitive market Nail product-market fit with developer adoption Get customer validation Drive grassroots developer adoption & win lighthouse accounts Hiring early risk-takers 2014-2025 ~$40M - ~$2B Build a durable, high-growth business Make open source an advantage, not a liability Transform into a cloud-first company Comprehensive GTM strategy from direct sales to self-serve to partners with rigorous execution Build an enduring culture 2025+ ~$2B - $5B+ Redefine the database for the AI era Overcome the bias for relational Win larger & more strategic deals Solutions orientation to modernize legacy apps, & build new AI apps Develop the next set of leaders to scale to $5B+ Key Product Differentiation Introduce Document Model Document Model suitable for cloud-based apps Document Model a natural fit for AI apps… and is again the foundation of our differentiation in the AI era Naturally models structured, unstructured, and interdependent data Unifies metadata, embeddings, and real-time operational data Highly flexible & adaptable, evolves as app requirements evolve JSON is the “lingua franca” of AI apps – LLMs, MCPs, vector stores all emit and consume JSON … None of this is true about relationalSearch & Retrieve Model & Adapt Scale & Perform Security┃Durability┃Availability┃Performance {JSON} Document Model Vector Text Embedding Reranker We are redefining the database for the AI eraWe are starting to see traction from AI in our numbers (1) A workload is considered attributable to AI if it is using our vector search feature, is using a an AI-related driver, or belongs to a company that was admitted to and participating in either the MongoDB AI Applications Program (“MAAP”) or the MongoDB AI Innovators Program (“MAIP”). ~30% Enterprises and leading startups alike are building AI applications on MongoDB Atlas ARR from customers with at least one AI use case(1)Our core market remains large, but pursuing the legacy relational market is an incremental growth opportunityAMP – why now & our approach Technical debt, cost, & risk are forcing customers to recognize the need to modernize their legacy applications Biggest challenge has always been rewriting application code; AI helps solve this problem Building AMP brings together tooling, talent and techniques in a differentiated way Unique advantages: Document Model | Not an SI | Well-positioned for AIWe continue to win against the competitionWe have a track record of winning against competition Stage 1.0 2.0 3.0 Year 2007-2014 2014-2025 2025+ “You’re just one of many niche NoSQL players – you’re not enterprise-ready” “You won’t be able to both partner and compete with the hyperscalers” “Postgres is emerging as a standard instead of MongoDB”Our differentiation against relational is real & durableWe win due to the limitations of the architecture of relational databases Rigid schema Brittle Hard to adapt Difficult to scaleWe win due to the power of the MongoDB platformNote: Capabilities included are vector search, text search, online archive, time series, atlas data federation 70% Total Atlas ARR is from customers who are using at least one additional capability 5x Atlas ARR of direct sales customers who use at least one additional capability vs those who don’t 40% Direct customers who are using at least one additional capability Our platform differentiation is valued by customersDriving sales productivity by allocating resources to the highest ROI channels Consistently releasing new capabilities to meet the needs of bleeding edge applications Increasing mindshare and education initiatives in the developer community We are working to both strengthen this differentiation and how we communicate it PRODUCT GTMMARKETINGWhy MongoDB wins With a strong base and multiple tailwinds, we’re confident in our ability to drive durable growth. RECAP Our market is massive and growing AI significantly expands our market AMP is an incremental growth opportunity It’s not a winner-take-all market, but our differentiation is durableProduct Competitive Positioning SEPTEMBER 2025 JIM SCHARF CHIEF TECHNOLOGY OFFICER MONGODBAgenda Foundation MongoDB 8.0 Queryable Encryption Horizontal Scaling Run Anywhere AMPMongoDB Foundation Document ModelMongoDB Foundation Document Model Security Durability Availability PerformanceMongoDB has unique foundational capabilities that position us well against relational and Postgres to win mission-critical, enterprise applications.MongoDB 8.0HIGHER UPDATE THROUGHPUT FASTER READS MongoDB 8.0 59%36% GA OCTOBER 2024 FASTER TIME SERIES READS 200%HIGHER UPDATE THROUGHPUT FASTER READS MongoDB 8.0 59%36% GA OCTOBER 2024 FASTER TIME SERIES READS 200% > 66% of Atlas clusters now running 8.0 > 2x faster adoption than the 7.0 releaseMongoDB 8.2 NEWQueryable Encryption Equality queries NEW LAST NAME EQUALS “SMITH” BIRTHDAY BETWEEN “01-01-2025” and “12-31-2025” NAME STARTS WITH “Elizab” CC ENDS WITH “6789” MED NOTE CONTAINS “fever” Range queries Prefix, Suffix and SubstringQE makes MongoDB suitable for applications with sensitive data in across a range of industries HEALTH & BENEFITS TELECOMMUNICATIONSGOVERNMENTTECHNOLOGYHorizontal ScalingVERTICAL SCALING $ $VERTICAL SCALING HORIZONTAL SCALING $ $ $ $ $ $$Postgres does not natively support horizontal sharding. Vendors have invested to add performance & sharding above/below Postgres. However, these are typically proprietary, “Postgres-compatible” offerings designed to lock you into a specific cloud vendor. MongoDB supports horizontal scaling natively, providing an efficient & predictable way to support larger applications Application Transparent Expand When Needed Refine at Any TimeRun AnywhereRun AnywhereOne MongoDB. Spanning CloudsMONGODB ADVANTAGE Flexible Data Model Native Queryable Encryption Run anywhere Managed Offering Multi-Cloud and Multi-Region Native Horizontal Scaling & ShardingPostgres Each Postgres provider has its own unique options, in some cases different than open-source Postgres JSONB support is not the same as the Document model MONGODB ADVANTAGE Flexible Data Model Native Queryable Encryption Run anywhere Managed Offering Multi-Cloud and Multi-Region Native Horizontal Scaling & Sharding vanilla | provider Industry-first, unique to MongoDBApplication Modernization Platform MongoDBNEWApplication Modernization Platform MongoDBNEW Partnered with our enterprise customers over recent yearsApplication Modernization Platform MongoDBNEW Partnered with our enterprise customers over recent years Developed AI-powered Tools and are combining with modernization Techniques & ExpertiseApplication Modernization Platform Partnered with our enterprise customers over recent yearsMongoDBNEW Initial target is Java & Oracle applications Developed AI-powered Tools and are combining with modernization Techniques & ExpertiseAMP simplifies modernization by providing tools that span the entire process Analyze Generate Tests Convert Code Validate Deploy & MigrateWhy is it important? To assess application complexity and identify where to start What does our tooling provide? Gain insights into the codebase structures in order to understand dependencies & uncover anomalies AMP Application AnalysisWhy is it important? Handle large and complex codebases - in particular stored procedures What does our tooling provide? Split code into manageable chunks where each can be tested and converted independently AMP Code ConversionAMP in Action FASTER DEVELOPMENT 200% REDUCTION IN MIGRATION TIME 90% FASTER MIGRATION >50xCO-FOUNDER & CEO Investor Day Customer Testimonial: MongoDB vs. Relational DIMITRI SIROTACustomer Panel: MongoDB vs. Relational Investor Day TOM VALLETTA ENTERPRISE ARCHITECT AT ADOBE WORKFRONT SCOTT MOONEY VP DISTRIBUTION OPERATIONSBreak / Lunch 15 MINUTESEPTEMBER 2025 AI Product Strategy FRED ROMA SVP, ATLAS DATA SERVICES MONGODBThe Journey from Pilot to Production Operating & ScalingThe Journey from Pilot to Production NEED Develop and Iterate Quickly CHALLENGE Fragmented & Complex AI StackThe Journey from Pilot to Production NEED Develop and Iterate Quickly Accurate and Performant Models CHALLENGE Fragmented & Complex AI Stack Models Falling Short in Real UseThe Journey from Pilot to Production NEED CHALLENGE Develop and Iterate Quickly Accurate and Performant Models Adapt and Scale in Production Fragmented & Complex AI Stack Models Falling Short in Real Use AI Pace of Change & Data GrowthMongoDB delivers unique advantages and simplifies every stage of the journeyThe Journey from Pilot to Production NEED CHALLENGE Develop and Iterate Quickly Accurate and Performant Models Adapt and Scale in Production Fragmented & Complex AI Stack Models Falling Short in Real Use AI Pace of Change & Data GrowthAI Use Cases RAG and Knowledge Q&A Semantic Search Recommendations Agent Memory and Contextual AI Security and Fraud DetectionAI Use Cases RAG and Knowledge Q&A Semantic Search Recommendations Agent Memory and Contextual AI Security and Fraud Detection LLM Embedding Model Vector Search Metadata Filtering Hybrid Search Reranker ALWAYS SOMETIMES NOT NEEDED CAPABILITIES REQUIRED:Vector Database Embedding Text RerankerLLM Query AI ToolkitsVector Database Embedding Text RerankerLLM Query AI Toolkits MongoDB natively integrates these building blocks into one platform MongoDBStrong Momentum Extensive AI Ecosystem Recent Advances Thousands of Customers Including Langchain, Vercel, Anthropic $rankFusion for Hybrid Search (text & vector) Private Preview of Auto-Embedding Atlas Text & Vector Search Voyage Embedding Models & Rerankers + NEW Public Preview for Community Server and Enterprise ServerThe Journey from Pilot to Production NEED CHALLENGE Develop and Iterate Quickly Accurate and Performant Models Adapt and Scale in Production Fragmented & Complex AI Stack Models Falling Short in Real Use AI Pace of Change & Data GrowthEmbedding models [0.3, 0.1, 0.2, ……, 0.4] DATA (text, image, audio, video) EMBEDDING MODEL (text, image, audio, video, multimodal) VECTORReranking models (or “rerankers”) INITIAL RESULTS RERANKED RESULTS 0.9 0.8 0.7 0.7 0.8 0.9 RERANKERvoyage-3.5 TEXT [LITE | STANDARD | LARGE] voyage-context-3 CONTEXTUALIZED CHUNK voyage-multimodal-3 MULTIMODAL rerank-2.5 RERANKER Best-in-Class Voyage Models Accurate Efficient InnovativeThe quality of your models is the difference between potential and production EMBEDDING MODEL RERANKER More relevant and grounded results for RAG Recommendations that actually drive more engagement and improve user satisfaction Agent Memory that actually remembers the content of past conversationsThe Journey from Pilot to Production NEED CHALLENGE Develop and Iterate Quickly Accurate and Performant Models Adapt and Scale in Production Fragmented & Complex AI Stack Models Falling Short in Real Use AI Pace of Change & Data GrowthIn te ns ity o f C ha ng e Frequency of Change INTERNET CLOUD AIDocument Model MongoDB’s core strengths are adaptability and scalability by design. With AI, those strengths are more relevant than ever. Horizontal Scalability+Document Model MongoDB’s core strengths are adaptability and scalability by design. With AI, those strengths are more relevant than ever. Horizontal Scalability One Data Platform+ +Build AI for Production NEED MONGODB Develop and Iterate Quickly Accurate and Performant Models Adapt and Scale in Production Search, Vector, Embeddings & Data - Natively Integrated Best-in-Class Voyage Embedding and Reranking models Document Model, Distributed Architecture, Runs AnywhereInvestor Day Customer Testimonial: MongoDB in the AI era ENO REYES CTO & CO-FOUNDERInvestor Day SUDHEESH NAIR CEO & CO-FOUNDER SHAUN ROBERTS DISTINGUISHED ENGINEER STEVEN POITRAS FOUNDING ARCHITECT Customer Panel: MongoDB in the AI eraSelf–Serve & Product-Led Growth MAY PETRY CHIEF MARKETING OFFICER MONGODB SEPTEMBER 2025Product-led Growth: The Engine Driving Scalable, Durable GrowthNote: Q2 FY26 net additions includes 300 customers added as a result of the Voyage acquisition We are successfully scaling our acquisition motion as MongoDB moves upmarket Self-Serve Customer Net Additions Q3 FY24 Q4 FY24 Q1 FY25 Q2 FY25 Q3 FY25 Q4 FY25 Q1 FY26 Q2 FY26 1,300+ 1,300+ 1,300+ 1,300+ 1,800+ 1,800+ 2,600+ 3,000+25% Of customers with >$1M ARR were originally sourced through the self-serve channel 15% Faster time to $1M in ARR for customers sourced from the self-serve channel Self-serve creates warm opportunities for our sales team, increasing productivityBuilding a New Path to the Enterprise: From Mindshare to Default Mindshare Education Consideration & Preference Selection Default Choice AdvocacyLearning Sales Acceleration Acquisition Revenue Efficient acquisition, long-tail growth Real-time customer signals, product feedback Warm pipeline, advisory sales Product-led growth creates compounding momentum at scale Meeting developers wherever they areAcquisition Acquisition: Meeting developers where they are Search AI/LLMs Targeted reach Community/ Word of mouthLearning: Signals that strengthen the engine Learning Product Signals Product Improvements Growth Optimization Sales Activation User feedbackSales Acceleration Sales acceleration: Turning adoption into warm demand Signal Product usage Real-time account insights Expand Enterprise adoption Sales field by warm demand Land Self-serve use Hands-on valueFrom PLG to Enterprise Scale: Our Durable Growth Engine GLOBAL CRYPTO PLATFORM FORTUNE 500 BROKERAGE & WEALTH MANAGER GLOBAL DESIGN & COLLABORATION PLATFORMAcquire our next best customer efficiently Turn user signals into better GTM Drive operating leverage through automation Product-Led Growth: Powering MongoDB’s Next Stage of GrowthSEPTEMBER 2025 Financial Update MIKE BERRY CHIEF FINANCIAL OFFICER MONGODBStrong track record in a large, growing market Durable business model to drive profitable growth Revenue growth with expanding operating margin Long-term financial targets Themes of the discussion todayQ2 Performance RecapAtlas Growth Non-Atlas Growth New Atlas Customers Operating Margin Cash Conversion 29% 7% 2.5K 15% 83% Accelerated quarter-over- quarter Showing durable growth Second highest in last six years Exhibiting leverage in our model Showing improvement year-over-year Note: All figures on this page refer to metrics from the second quarter fiscal 2026 financial results. (1) Non-Atlas growth refers to the year-over-year growth rate for Non-Atlas subscription revenue only and does not include Professional Services revenue. (2) Non-GAAP operating margin and cash conversion are non-GAAP measures. See Appendix for a reconciliation to financial results prepared in accordance with GAAP. (3) Cash conversion is defined as operating cash flow / non-GAAP income from operations. (1) (2,3)(2) We delivered strong results in Q2Note: All figures shown in USD millions excluding Earnings Per Share (EPS). (1) Current guidance are forward-looking statements as of August 26, 2025. See Safe Harbor for important information about these assumptions and forward-looking statements. Total Revenue Y/Y Change Operating Income Margin % EPS Y/Y Change Prior Guidance Change Current Guidance $2,250 - $2,290 12% - 14% $267 - $287 11.9% - 12.5% $70 $44 $2,340 - $2,360 17% - 18% $321 - $331 13.7% - 14.0% $2.94 - $3.12 (20%) - (15%) $0.61 $3.64 - $3.73 (1%) - 2% (1) And raised our guidance for the full yearMarket Opportunity2021 2022 2023 2024 2025 2026 2027 2028 $150 $134 $119 $105 $93 $82 $73 $65 Note: All figures shown in USD billions. Source: IDC, Data Management Software Market. We are pursuing a large market opportunityNote: All figures shown in USD billions. Source: IDC, Data Management Software Market. We have a small share of a market undergoing double digit growth Total DBMS Market MongoDB Share $105$150 $134 $119 $105 $93 $82 $73 $65 2021 2022 2023 2024 2025 2026 2027 2028 We believe AI will drive incremental market growth Note: All figures shown in USD billions. Source: IDC, Data Management Software Market.We are targeting the OLTP market, a strategic high ground for AI workloads ● We are going after a massive market; few companies have this large of a market opportunity ● With $2B+ in revenue, we still have only ~2% market share ● The opportunity for our core database is still huge ● This large market is expected to grow at a ~13% CAGR ○ This is before accounting for incremental growth from AI application development…MongoDB Performance~3x FY22 FY23 FY24 FY25 FY26 Guidance (High End) $874 $1,284 $1,683 $2,006 $2,360 Atlas Non-Atlas & Services Note: All figures shown in USD millions. (1) Current guidance are forward-looking statements as of August 26, 2025. See Safe Harbor for important information about these assumptions and forward-looking statements. (1) History of strong revenue growth driven by AtlasQ1 23 Q2 23 Q3 23 Q4 23 Q1 24 Q2 24 Q3 24 Q4 24 Q1 25 Q2 25 Q3 25 Q4 25 Q1 26 Q2 26 average Week-Over-Week Average Atlas Consumption Growth (%) Note: Consumption represents Atlas usage over the prior seven day period. FY26 Atlas consumption growth is consistent with last yearNet Atlas Revenue Added Year-Over-Year H1 FY24 H2 FY24 H1 FY25 H2 FY25 H1 FY26 $142 $155 $149 $151 $181 Consistent consumption growth drives incremental revenue growth 20%Note: All figures shown in USD millions. ● Run-anywhere is a strategic advantage: organizations can deploy MongoDB on public clouds, private clouds, or on-prem ● This approach unlocks regulated industries like finance, healthcare, and government, geographies with tighter regulations, or those still early in their cloud journey ● We still actively invest in advancing Non-Atlas products because of their competitive advantage. ○ Today we announced the public preview of search and vector search within Community Edition and Enterprise Server Non-Atlas Subscription Revenue $295 $350 $427 $522 $539 FY21 FY22 FY23 FY24 FY25 Non-Atlas growth has proven to be durableNote: Non-Atlas (Enterprise Advanced + Other) annualized recurring revenue (“ARR”) includes the revenue we expect to receive from our customers over the following 12 months based on contractual commitments for subscription products excluding Atlas. average Q1 24 Q2 24 Q3 24 Q4 24 Q1 25 Q2 25 Q3 25 Q4 25 Q1 26 Q2 26 19% 23% 16% 11% 7% 5% 10% 3% 7% 7% Quarterly Non-Atlas ARR Growth RateCustomers >$100K ARR Customers >$1M ARR 975 1,307 1,651 2,052 2,396 98 164 213 259 320 FY21 FY22 FY23 FY24 FY25 FY21 FY22 FY23 FY24 FY25 Our move upmarket continues to drive growth at the high endAverage ARR for customers who were >$100k or >$1m in FY22 >$1m FY22 cohort ~2x FY22 H1 FY26 >$100k FY22 cohort ~2x FY22 H1 FY26 100% 200% 100% 185% Note: For our definition of ARR, please refer to the Appendix. Our largest customers continue to expandInvest to Drive GrowthNote: All figures shown in USD millions. Non-GAAP gross profit is a non-GAAP measure. See Appendix for a reconciliation to financial results prepared in accordance with GAAP. Gross Profit FY21 FY22 FY23 FY24 FY25 $427 $639 $966 $1,298 $1,516 Our gross profit growth provides flexibility to invest and increase operating marginVia live and self-serve programs, we’ve trained 180K+ skilled users year-to-date YTD we’ve hosted 165 hands-on workshops with attendees in over 30 countries We are investing in Developer Awareness as we still have a limited footprint compared to our opportunityInvest in features for AI workloads and to integrate AI into our products Deepening our competitive advantage in our core database offering We are investing in Research and Development as we execute against our ambitious product roadmapExpanding our partner ecosystem Hiring enterprise reps to fuel the move upmarket We are investing in Sales as we have a significant opportunity to capture AI workloads. Investing in PLG / self- serve for long-term growth Building teams of forward- deployed engineers to solution with customers Using AI and tools to automate workAreas of focus to increase efficiency Revenue growth drives gross profit Scale efficiencies Incremental/Variable investments Reallocation ProductivityCapital StructureOperating Cash Flow and Cash Conversion ● We had a great H1 with cash conversion above 100% ● Our strong cash flow results were driven primarily by our operating profit outperformance ● We are implementing best practices and do expect to do better than the 50% for the full year that we’ve done historically Improving our cash conversion Operating Cash Flow Cash Conversion 45% 50% 104% $121 $150 $62 $182 73% FY24 FY25 H1 FY25 H1 FY26 Note: Cash conversion defined as Operating Cash Flow / Non-GAAP Income from Operations. All figures shown in USD millions.Shares Outstanding and SBC as % of Revenue Shares Outstanding SBC as % of Revenue ● We will continue to have equity as a key part of our compensation program, especially focused on technical talent ● We expect to see SBC % revenue decline over the next several years as we adjust our cost structure and operating model ● We plan to manage our share count relatively flat over the next several years and be responsive to managing dilution ● We will use multiple programs to manage share count, including share buybacks and cash settlement of RSU/PSU taxesQ3 FY23 Q4 FY23 Q1 FY24 Q2 FY24 Q3 FY24 Q4 FY24 Q1 FY25 Q2 FY25 Q3 FY25 Q4 FY25 Q1 FY26 Q2 FY26 24%24% 23%24% 26% 27%27%27%27% 28%28% 30% 80.4 80.8 81.5 82.5 82.7 82.9 83.2 83.8 84.2 84.6 86.3 87.1 Note: Shares outstanding are fully diluted weighted-average shares outstanding, shown in millions. We will be good stewards of your capitalLong-term financial targets as we drive towards the Rule of 40Note: All financial targets are on a non-GAAP basis. 100-200 bps operating margin expansion on average every year 20%+ Atlas growth Improve cash conversion and drive meaningful FCF Maintaining year-over-year growth of at least 20% Generating operating leverage while investing in our growth priorities Convert growth and operational efficiencies into cash flow Our financial frameworkLong-term financial targets Note: All financial targets are on a non-GAAP basis. Revenue: High teens average growth Operating Margin: 20%+ In the time frame of the long-term model FCF Conversion: 80%+ 3-5 YEARSOur Growth Drivers KEY TAKEAWAYSWe have a huge market opportunity with double digit growth Our Growth Drivers KEY TAKEAWAYSWe have a huge market opportunity with double digit growth Our platform is differentiated with the document model Our Growth Drivers KEY TAKEAWAYSWe have a huge market opportunity with double digit growth Our platform is differentiated with the document model Our Growth Drivers KEY TAKEAWAYS We expect AI will be an incremental growth driverWe have a huge market opportunity with double digit growth Our platform is differentiated with the document model We expect AI will be an incremental growth driver We expect AMP will be an incremental growth driver Our Growth Drivers KEY TAKEAWAYSWe plan to drive durable growth and margin expansion We have a huge market opportunity with double digit growth Our platform is differentiated with the document model We expect AI will be an incremental growth driver We expect AMP will be an incremental growth driver Our Growth Drivers KEY TAKEAWAYSWe plan to drive durable growth and margin expansion We have a huge market opportunity with double digit growth Our platform is differentiated with the document model We expect AI will be an incremental growth driver We expect AMP will be an incremental growth driver Our Growth Drivers KEY TAKEAWAYSQ&AWhy MongoDB wins With a strong base and multiple tailwinds, we’re confident in our ability to drive durable growth. RECAP Our market is massive and growing AI grows our market significantly It’s not a winner-take-all market, but our differentiation is durable AMP is an incremental growth driverAppendixNon-GAAP Financial Measures This presentation includes the following financial measures defined as non-GAAP financial measures by the SEC: non-GAAP gross profit, non-GAAP income from operations, non-GAAP operating margin, cash conversion, free cash flow and free cash flow conversion. Non-GAAP gross profit excludes expenses associated with stock-based compensation. Non-GAAP income from operations and non-GAAP operating margin exclude expenses associated with stock-based compensation including employer payroll taxes upon the vesting and exercising of stock-based awards and expenses related to stock appreciation rights previously issued to our employees in China, amortization of intangible assets for the acquired technology and acquired customer relationships associated with prior acquisitions, certain acquisition-related costs and other, including due diligence costs, professional fees in connection with an acquisition and certain integration-related expenses, and restructuring costs associated with a formal restructuring plan that are primarily related to workforce reductions. The Company excludes these expenses because they are not reflective of ordinary course ongoing business and operating results. Free cash flow represents net cash from/used in operating activities, less capital expenditures, principal payments of finance lease liabilities and capitalized software development costs, if any. MongoDB uses free cash flow to understand and evaluate its liquidity and to generate future operating plans. The exclusion of capital expenditures, principal payments of finance lease liabilities and amounts capitalized for software development facilitates comparisons of MongoDB’s liquidity on a period-to-period basis and excludes items that it does not consider to be indicative of its liquidity. MongoDB believes that free cash flow is a measure of liquidity that provides useful information to investors in understanding and evaluating the strength of its liquidity and future ability to generate cash that can be used for strategic opportunities or investing in its business in the same manner as MongoDB’s management and board of directors. Cash conversion is defined as operating cash flow divided by non-GAAP income from operations. Free cash flow conversion is defined as free cash flow divided by non-GAAP income from operations. MongoDB uses these non-GAAP financial measures internally in analyzing its financial results and believes they are useful to investors, as a supplement to GAAP measures, in evaluating MongoDB’s ongoing operational performance. MongoDB believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating ongoing operating results and trends and in comparing its financial results with other companies in MongoDB’s industry, many of which may present similar non-GAAP financial measures to investors. Non-GAAP financial measures have limitations as an analytical tool and should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. In particular, other companies may report non-GAAP gross profit, non-GAAP income from operations, non-GAAP operating margin and free cash flow or similarly titled measures but calculate them differently, which reduces their usefulness as comparative measures. Investors are encouraged to review the reconciliation of these non-GAAP financial measures to their most directly comparable GAAP financial measures, as presented below. Operating margin and free cash flow conversion are non-GAAP and reconciliations of non-GAAP operating margin and non-GAAP free cash flow conversion to the most directly comparable GAAP measures are not available without unreasonable efforts on a forward-looking basis due to the high variability, complexity and low visibility with respect to the charges excluded from these non-GAAP measures and the lack of a timeline for the achievement of said long-term financial model. This presentation and any future presentations containing such non-GAAP reconciliations can also be found on the Investor Relations page of MongoDB’s website at https://investors.mongodb.com.Definitions We calculate annualized recurring revenue (“ARR”) and annualized monthly recurring revenue (“MRR”) to help us measure our subscription revenue performance. ARR includes the revenue we expect to receive from our customers over the following 12 months based on contractual commitments and, in the case of Direct Sales Customers of MongoDB Atlas, by annualizing the prior 90 days of their actual usage of MongoDB Atlas, assuming no increases or reductions in their subscriptions or usage. For all other customers of our self-serve products, we calculate annualized MRR by annualizing the prior 30 days of their actual usage of such products, assuming no increases or reductions in usage. ARR and annualized MRR exclude professional services. When we refer to ARR in this presentation, we are referring to the combination of annualized recurring revenue (“ARR”) and annualized monthly recurring revenue (“MRR”) unless otherwise noted. Non-Atlas (Enterprise Advanced + Other) annualized recurring revenue (“ARR”) includes the revenue we expect to receive from our customers over the following 12 months based on contractual commitments for subscription products excluding Atlas.GAAP to Non-GAAP Reconciliations
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1 Jun
ARS
Annual report to security holders
19 May
DEFA14A
Definitive additional materials
19 May
DEF 14A
Definitive proxy statement
19 May
PRE 14A
Preliminary proxy statement
8 May
DEF 14A
Definitive proxy statement
20 May 2025
ARS
Annual report to security holders
20 May 2025
DEFA14A
Definitive additional materials
20 May 2025
PRE 14A
Preliminary proxy statement
8 May 2025
ARS
Annual report to security holders
16 May 2024
DEF 14A
Definitive proxy statement
16 May 2024
DEFA14A
Definitive additional materials
16 May 2024
ARS
Annual report to security holders
17 May 2023
DEFA14A
Definitive additional materials
17 May 2023
DEF 14A
Definitive proxy statement
17 May 2023
Registrations
(23)
Expand
S-8
Registration statement (employee benefit plan)
11 Mar
S-8
Registration statement (employee benefit plan)
21 Mar 2025
S-8
Registration statement (employee benefit plan)
15 Mar 2024
S-8
Registration statement (employee benefit plan)
17 Mar 2023
S-8
Registration statement (employee benefit plan)
18 Mar 2022
424B5
Prospectus filing (Rule 424(b)(5))
30 Jun 2021
424B5
Prospectus filing (Rule 424(b)(5))
29 Jun 2021
S-3ASR
Automatic shelf registration statement (S-3)
29 Jun 2021
S-8
Registration statement (employee benefit plan)
22 Mar 2021
S-8
Registration statement (employee benefit plan)
3 Apr 2020
S-8
Registration statement (employee benefit plan)
1 Apr 2019
S-8
Registration statement (employee benefit plan)
30 Mar 2018
S-8
Registration statement (employee benefit plan)
20 Oct 2017
424B4
Prospectus filing (Rule 424(b)(4))
19 Oct 2017
S-1/A
Registration statement (general form, amendment)
17 Oct 2017
Filing Review Correspondence
(8)
Expand
CORRESP
Filing review correspondence
16 Oct 2017
CORRESP
Filing review correspondence
16 Oct 2017
CORRESP
Filing review correspondence
5 Oct 2017
CORRESP
Filing review correspondence
3 Oct 2017
CORRESP
Filing review correspondence
28 Sep 2017
DRSLTR
Filing review correspondence (DRSLTR)
19 Sep 2017
DRSLTR
Filing review correspondence (DRSLTR)
31 Aug 2017
DRSLTR
Filing review correspondence (DRSLTR)
2 Aug 2017
SEC Orders And Notices
(1)
Expand
EFFECT
Notice of effectiveness
18 Oct 2017
Exempt Offerings
(6)
Expand
D
06b
9 Jan 2015
D
06b
17 Oct 2013
D
Notice of exempt offering of securities (Reg D)
1 Jun 2012
D
Notice of exempt offering of securities (Reg D)
22 Sep 2011
D
Notice of exempt offering of securities (Reg D)
13 Dec 2010
D
Notice of exempt offering of securities (Reg D)
6 Nov 2009
Other
(1)
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CERTNAS
AUTO-GENERATED PAPER DOCUMENT
18 Oct 2017
Financials & Metrics
Financials
Charting
Short Interest
Employees
