Stock Taper Total Revenue: $772 million, up 30% year-over-year, marking the highest quarterly growth since fiscal year 2024.
Atlas Revenue: Grew approximately 29% year-over-year, contributing $127 million in net new dollars.
EA and Other Revenue: Increased by 36% year-over-year, driven by strong demand for self-managed solutions.
Non-GAAP Operating Margin: 24%, up from 15% year-over-year.
Net Income: Non-GAAP net income of $163 million ($1.90 per share), compared to $87 million ($1.00 per share) in the prior year.
Customer Growth: Added 2.9 thousand net new customers, bringing the total to 70.6 thousand.
Remaining Performance Obligations: $1.52 billion, reflecting a 91% year-over-year growth.
AI Workload Adoption: Significant momentum in AI workloads, particularly with the adoption of Atlas Vector Search and Voyage Embeddings. Notable use cases include large enterprises in finance and healthcare.
Customer Engagement: Strong relationships with enterprise customers, with many adopting MongoDB for mission-critical workloads.
Product Development: Launched a fully managed MCP server to facilitate connections with popular coding tools, enhancing developer engagement.
Market Position: MongoDB is positioned as a leading real-time intelligent data platform, with a focus on hybrid and multi-cloud deployments.
Q3 Revenue Guidance: Expected total revenue of $756 million to $761 million, representing 20% to 21% year-over-year growth.
Full Year Revenue Guidance: Raised to $2.99 billion to $3.03 billion, reflecting a growth rate of 21% to 23%.
Atlas Growth Expectation: Anticipated growth of approximately 26% in Q3 and 27% for the full year.
EA Revenue Growth: Full year guidance raised to approximately 11% growth, marking the first double-digit growth projection in three years.
Q4 Guidance Caution: Analysts expressed concern over potential deceleration in Atlas growth for Q4, with management emphasizing a prudent approach to guidance.
Market Competition: The competitive landscape remains a concern, particularly with emerging AI-native companies that may choose alternative solutions.
Customer Migration: Some customers may opt for self-managed EA solutions instead of migrating to Atlas, which could impact future Atlas growth.
Atlas Growth Confidence: Management remains optimistic about Atlas growth, supported by strong enterprise demand and AI adoption, but is cautious about Q4 guidance due to consumption dynamics.
EA and Atlas Relationship: Management clarified that growth in EA is not at the expense of Atlas, with both products serving different customer needs and driving overall company growth.
Customer Retention Trends: There are signs of improved retention rates, with some customers looking to renew contracts earlier due to increased consumption.
AI Use Cases: Specific AI workloads, particularly in customer-facing applications, are driving demand, with enterprises increasingly integrating MongoDB into their operational data layers. Overall, MongoDB reported a strong quarter with significant growth across its product lines, particularly in AI workloads, while maintaining a cautious outlook for the upcoming quarters amidst competitive pressures and market dynamics.
SOURCE: Q2 2027 EARNINGS CALL TRANSCRIPT