MongoDB, Inc. (MDB) Earnings

Management highlights

- **Strong Financial Execution**: Total revenue growth accelerated to 30%, the highest since fiscal year 24. Non-GAAP operating margin reached 24%, significantly outperforming guidance. GAAP EPS profitability was achieved for the third consecutive quarter. - **Atlas Growth Drivers**: Growth is sustained by large enterprise customers (particularly those with >$100k ARR) and AI-native startups. Net ARR expansion rate increased to 122%. Adoption of Vector Search and Voyage embeddings is accelerating, with Voyage customer counts nearly doubling quarter-over-quarter. - **AI Integration & Product Innovation**: MongoDB is positioning itself as a real-time intelligent data platform. Key innovations include the launch of managed MCP servers for integration with coding agents (Claude, Codex), Voyage Code 4 for code-specific embedding, and automated Voyage embeddings in Atlas. AI workloads are moving from pilot to production across industries. - **Enterprise Advance (EA) Strategy**: EA is not cannibalizing Atlas but complementing it through hybrid deployment models. Customers use EA for governed, self-managed environments requiring data sovereignty or operational resilience, while using Atlas for scale. The recent addition of search and vector search to EA has generated immediate demand. - **Customer Base Expansion**: Added a record 2,900 net new customers, bringing total customers to 70,600. Strong traction with AI natives (e.g., Fireflies, EVE) and frontier labs who leverage Atlas for inference and chat workloads due to superior performance over Postgres.

Guidance

- **Q3 Fiscal 2027 Revenue**: Expected between $756 million and $761 million, representing 20-21% year-over-year growth. - **Full-Year Fiscal 2027 Revenue**: Raised to $2.99 billion - $3.03 billion, representing 21-23% growth (up 300 basis points from prior midpoint). - **Atlas Growth**: Full-year Atlas growth expectation raised to approximately 27% (from prior ~24%), driven by continued strength in North America and large enterprises. - **EA and Other Growth**: Full-year EA and other revenue growth expectation raised to approximately 11% (from mid-single digits), reflecting strong demand for AI-ready self-managed features. - **Profitability**: Operating margin expected to expand by approximately 250 basis points in fiscal 2027 (higher than previous high end). Free cash flow conversion expected at the upper end of the 80-100% long-term target range.

Segment performance

Total revenue was $772 million, up 30% year-over-year. Atlas revenue grew approximately 29% year-over-year, representing the primary growth driver with a record $127 million in new annual recurring revenue (ARR). Enterprise Advance (EA) and other revenue grew approximately 30-36% year-over-year, driven by widespread strength in financial services, tech, and public sectors, as well as early adoption of search and vector search capabilities on EA.

Risks & headwinds

- **Consumption Volatility**: Atlas is a consumption-based business; future quarters depend heavily on customer usage patterns, which can be impacted by macroeconomic conditions or seasonal trends (e.g., holiday slowdowns in Q4). - **Guidance Prudence**: Management explicitly states that guidance for later quarters (like Q4) remains conservative due to the difficulty in predicting multi-year EA deals and consumption dynamics far in advance. - **Competitive Landscape**: While MongoDB sees traction against Postgres and other databases, maintaining differentiation in the crowded AI/vector search market requires continuous innovation and execution.

Analyst Q&A

• Q: Analyst asked about the factors driving confidence in Atlas guidance and whether the implied deceleration in Q4 signals weakness or if EA is cannibalizing Atlas. /

  A: CFO Mike Berry cited consistent 29% growth, record new ARR dollars, and strong net ARR expansion as drivers. CEO CJ Desai clarified that EA growth is not coming at the expense of Atlas; rather, they serve different needs (self-managed vs. cloud). He noted that hybrid deployments often lead to *additional* Atlas conversations within the same customer base. Guidance for Q4 remains prudent due to typical seasonal consumption dips, but overall outlook is optimistic.

• Q: Analyst asked how successful MongoDB is at converting 'Voyage' customers (AI embedding users) into broader Atlas platform sales. /

  A: CEO Desai described this as a massive top-of-funnel opportunity. Many Voyage customers are new to MongoDB, often referred by coding agents like Claude and Codex. While still early in the cross-selling process, these customers are predominantly AI natives. The strategy is to leverage the low-friction entry via Voyage embeddings to upsell to full Atlas deployments, capitalizing on the fact that most referral traffic comes from AI developer tools.

• Q: Analyst asked for elaboration on specific AI use cases showing the greatest pull-through to MongoDB and the timeline for migration from EA to Atlas. /

  A: CEO Desai highlighted that AI pull-through is strongest in customer-facing agent workloads requiring scale and performance, such as wealth management chatbots or employee knowledge bases. For EA, he stated there is no fixed timeline for migration to Atlas because customers value the 'run anywhere' flexibility. Some use EA for operational resilience/failover while using Atlas for scale. Time-to-value for AI features on EA is fast (weeks), encouraging adoption without forcing an immediate cloud migration.

• Q: Analyst asked if customers are renewing early or at higher rates due to consumption growth, and sought clarity on the Q4 Atlas guide inputs. /

  A: CEO Desai confirmed retention is strong and healthy, with very few large customers requesting contract renegotiations despite rising consumption. Regarding Q4, CFO Berry reiterated that guidance methodology hasn't changed; they remain conservative for quarters further out. They expect to see better-than-guided results in Q3, which will inform the Q4 outlook when it is released next quarter.