Slide 1: Investor Presentation
Investor Presentation ( MongoDB.
Slide 2: Safe Harbor
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 repr
Slide 3: What you should take away from this deck
Our market is massive and growing What you It’s not a winner-take-all market, but our differentiation is durable should take AI significantly expands our market away from Multiple tailwinds will drive durable this deck revenue growth
Slide 4: We address a large growing TAM with a differentiated platform
We address a large growing TAM with a differentiated platform
Slide 5: Our market is >$100B and growing
Our market is >$100B and growing $150 $134 $119 $105 $93 $82 $73 $65 2021 2022 2023 2024 2025 2026 2027 2028 Source: IDC, Data Management Software Market, All figures shown in USD billions
Slide 6: The document model is our foundation for growth
The document model is our foundation for growth 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 st
Slide 7: MongoDB can run anywhere
MongoDB can run anywhere
Slide 8: Competitive platforms offer limited capabilities compared to MongoDB
Competitive platforms offer limited capabilities compared to MongoDB Postgres MONGODB ADVANTAGE vanilla | provider JSONB support is not the same Flexible Data Model as the Document model Industry-first, unique to Native Queryable Encryption MongoDB Run anywhere Managed Offering Each Postgres provider
Slide 9: We win due to the limitations of the architecture of relational databases
We win due to the limitations of the architecture of relational databases Rigid Brittle Difficult to schema Hard to adapt scale
Slide 10: We win due to the power of the MongoDB platform
We win due to the power of the MongoDB platform
Slide 11: Proven success across industries
Proven success across industries: COMMUNICATIONS & MEDIA TECHNOLOGY MANUFACTURING/AUTOMOTIVE HEALTHCARE FINANCIAL SERVICES CONSUMER & RETAIL
Slide 12: MongoDB Atlas and Voyage AI Power AI Innovation
Factory, an enterprise software development platform that uses advanced AI agents to accelerate software development lifecycles for MongoDB Atlas organizations, originally launched with a combination of Firebase, PostgreSQL, and S3. They migrated to MongoDB Atlas to consolidate and Voyage AI into a
Slide 13: AI significantly expands our opportunity
AI significantly expands our opportunity
Slide 14: AI is a tailwind to our business
AI is a tailwind to our business Every 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
Slide 15: We are redefining the database for the AI era
We are redefining the database for the AI era Search & Retrieve Vector Text Embedding Reranker {JSON} Model & Adapt Document Model Scale & Perform Security┃Durability┃Availability┃Performance
Slide 16: MongoDB natively integrates these building blocks into one platform
MongoDB Query LLM Embedding Reranker AI Database Toolkits Vector Text MongoDB natively integrates these building blocks into one platform
Slide 17: Strong Momentum, Extensive AI Ecosystem, Recent Advances
Strong Momentum Thousands of Customers Atlas Text & Vector Search Extensive AI Ecosystem Including Langchain, Vercel, Anthropic + Recent Advances Voyage Embedding NEW Public Preview for Community Models & Rerankers Server and Enterprise Server $rankFusion for Hybrid Search (text & vector) Private Pr
Slide 18: We are starting to see traction from AI in our numbers
We are starting to see traction from AI in our numbers ~30% Atlas ARR from Enterprises and leading customers with at least startups alike are building AI one AI use case(1) applications on MongoDB (1) A workload is considered attributable to AI if it is using our vector search feature, is using a an
Slide 19: MongoDB Performance
MongoDB Performance
Slide 20: History of strong revenue growth driven by Atlas
History of strong revenue growth driven by Atlas $2,464 ~3x $2,006 $1,683 $1,284 $874 Atlas Non-Atlas & Services FY22 FY23 FY24 FY25 FY26 Note: All figures shown in USD millions. .
Slide 21: Non-Atlas growth has proven to be durable
Non-Atlas growth has proven to be durable Non-Atlas Subscription Revenue ● Run-anywhere is a strategic advantage: $578 organizations can deploy MongoDB on $539 public clouds, private clouds, or on-prem $522 $427 ● This approach unlocks regulated industries like finance, healthcare, $350 and governmen
Slide 22: Quarterly Non-Atlas ARR Growth Rate
Quarterly Non-Atlas ARR Growth Rate average Note: 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.
Slide 23: Our move upmarket continues to drive growth at the high end
Our move upmarket continues to drive growth at the high end Customers >$100K ARR Customers >$1M ARR 2,799 402 2,396 320 2,052 259 1,651 213 1,307 164 FY22 FY23 FY24 FY25 FY26 FY22 FY23 FY24 FY25 FY26
Slide 24: Our gross profit growth provides flexibility to invest and increase operating margin
Our gross profit growth provides flexibility to invest and increase operating margin Gross Profit $1,834 $1,516 $1,298 $966 $639 FY22 FY23 FY24 FY25 FY26 Note: 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
Slide 25: Capital Structure
Capital Structure
Slide 26: Improving our cash conversion
Improving our cash conversion Operating Cash Flow and Cash Conversion Operating Cash Flow ● We experienced strong operating cash Cash Conversion generation in FY26 with cash flow conversion above 100% ● Our strong cash flow results were driven primarily by our operating profit outperformance ● We are i
Slide 27: We will be good stewards of your capital
We will be good stewards of your capital Shares Outstanding and SBC as % of Revenue ● We will continue to have equity as a key part of our compensation program, Shares Outstanding especially focused on technical talent SBC as % of Revenue ● We expect to see SBC % revenue decline over the next severa
Slide 28: FY 2026 Performance Recap
FY 2026 Performance Recap
Slide 29: We reported strong Q4 FY 2026 results
We reported strong Q4 FY 2026 results Atlas Non-Atlas New customer Operating Cash Growth Growth (1) adds Margin (2) Conversion (2,3) 29% 20% 2.7K 22.8% 113% Accelerated Showing Strong Improved Showing year-over-year durable growth momentum 234bps improvement continues year-over-year year-over-year N
Slide 30: Financial performance was solid in FY 2026
Financial performance was solid in FY 2026 Atlas Non-Atlas New Customer Operating Cash Growth Growth (1) adds Margin (2) Conversion (2,3) 29% 7% 10.7K 18.5% 111% Accelerated Showing Record net Improved Showing year-over-year durable growth adds in FY26 360bps improvement year-over-year year-over-yea
Slide 31: We provided strong guidance for FY 2027
We provided strong guidance for FY 2027 FY 2026 Actuals Change FY 2027 Guide (1) Total Revenue $2,464 $2,860 - $2,900 Y/Y Change $396-436 23% 16% - 18% Operating Income $456 $545 - $565 $89-109 Margin % 18.5% 18.8% - 19.5% EPS $4.97 $5.75 - $5.93 Y/Y Change $0.78-0.96 36% 15.7% - 19.3% Note: All figu
Slide 32: Historical Trended Results
Historical Trended Results $800 30% $695 $700 $600 $500 $400 $300 $200 $100 $0 QLFY25 Q2 FY25 Q3 FY25 Q4 FY25 QILFY26 Q2 FY26 Q3 FY26 Q4FY26 lm Revenue ($ in M's) ‘—=non-GAAP Operating Margin
Slide 33: Balance sheet, cash flow and capital metrics
Balance sheet, cash flow and capital metrics
Slide 34: Long-term financial targets as we drive towards the Rule of 0
Long-term financial targets as we drive towards the Rule of 40
Slide 35: Our financial framework
Our financial framework 20%+ 100-200 Improve cash conversion and drive Atlas growth bps operating margin meaningful FCF expansion on average every year Maintaining Generating operating Convert growth and year-over-year growth leverage while investing operational efficiencies of at least 20% in our gr
Slide 36: Long-term financial targets
Long-term financial targets Revenue: Operating Margin: FCF Conversion: High 20%+ 80%+ teens In the time frame of average growth the long-term model 3-5 YEARS Note: All financial targets excluding revenue are on a non-GAAP basis.
Slide 37: Non-GAAP Financial Measures
Non-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
Slide 38: Definitions
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, i
Slide 39: GAAP to Non-GAAP Reconciliations
GAAP to Non-GAAP Reconciliations
Slide 40: GAAP to Non-GAAP Reconciliations
GAAP to Non-GAAP Reconciliations