On May 29, Bank of America reiterated its Buy rating and raised its price target to $390 from $375 for MongoDB (MDB), arguing that the company’s latest results reinforce the view that MongoDB remains a “share gainer” in the next-generation database market.
BofA pointed to stronger-than-expected Atlas growth, a raised FY2027 outlook, and early traction with frontier AI labs as evidence that business momentum is building.
Atlas growth pushed back against the slowdown narrative
In the company’s first-quarter results reported on May 28, Atlas reported 29.4% year-over-year revenue growth, a slight acceleration from the 29.2% growth in the prior quarter. That result exceeded Bank of America’s expectations and challenged the view that MongoDB’s cloud business was headed toward a sharper slowdown.
BofA was particularly encouraged by MongoDB’s guidance. Management raised FY2027 revenue guidance to $2.92 billion to $2.96 billion, and Bank of America noted that the increase exceeded the size of the quarterly beat. Analysts viewed that as evidence of stronger underlying consumption trends and healthier customer demand.
Atlas remains MongoDB’s primary growth engine and the foundation for its premium valuation. Stronger consumption reduces the risk of estimate cuts and supports confidence that customer workloads will continue to expand on the platform.
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Management also guided to roughly 26% Atlas growth in fiscal 2Q27, well above Wall Street expectations. The challenge is that management’s full-year guidance still implies that Atlas’s growth will slow to the 20-21% range during the second half of FY2027.
However, Bank of America noted that if MongoDB delivers a similar beat to the one it posted in the first quarter, Atlas growth could remain near the 29% range despite tougher comparisons.
AI adoption is moving into production
The most interesting development from the quarter may have been MongoDB’s progress in AI.
Bank of America highlighted management’s disclosure that MongoDB landed deals with “several frontier AI labs,” a sign that some of the most advanced AI developers are using the platform for production workloads. The firm said these wins demonstrate that MongoDB’s architecture, scalability, and multi-cloud capabilities are resonating with customers building next-generation AI applications.
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According to management, some AI labs were running into limitations with existing database architectures as workloads scaled. MongoDB’s ability to operate across cloud environments and “support rapid growth” helped drive adoption.
President and CEO Chirantan Desai said he met with roughly 200 customers during the quarter and saw “a lot more modernization acceleration where somebody is moving to Atlas so that they are ready on scaling out for AI workloads.”
Bank of America noted that having frontier AI labs as customers can also serve as a powerful marketing tool, helping MongoDB attract additional enterprise customers and AI-native startups.
Stronger cash flow supports the growth story
Beyond revenue growth, MongoDB delivered stronger profitability and cash generation.
Free cash flow reached $197.5 million, up from $105.9 million a year earlier, while non-GAAP operating margin reached 17.9%. The results showed MongoDB converting more of its growth into cash while continuing to invest in product development and sales expansion.
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Bank of America responded by raising its FY2027 revenue forecast to approximately $2.94 billion and increasing its price target to $390. The firm believes MongoDB deserves to trade at a premium to its infrastructure software peers due to its faster growth profile and continued market share gains.
The next step from here is for MongoDB to prove that Atlas can maintain its momentum through the second half of FY2027 and continue turning AI adoption into durable revenue growth.
Why MongoDB could keep climbing
- Strong Atlas consumption supports higher revenue estimates and a stronger growth outlook.
- AI workloads are moving into production, creating larger and more durable usage patterns.
- Wins with frontier AI labs strengthen MongoDB’s position in the AI ecosystem.
- Growing backlog improves revenue visibility and lowers execution risk.
- Rising free cash flow gives MongoDB room to invest while expanding profitability.
Risks that could challenge the MongoDB thesis
- Enterprise Advanced growth could slow and drag on overall company growth.
- Cloud consumption trends could become less predictable and pressure guidance.
- AI demand may remain concentrated among early adopters rather than broad enterprises.
- Competition from hyperscalers and database vendors could intensify.
- Backlog conversion could take longer than expected, delaying revenue growth.
Key takeaways for MongoDB
MongoDB’s latest results strengthened the bull case around Atlas. Atlas revenue grew 29.4%, management raised FY2027 guidance to $2.92 billion to $2.96 billion, and Bank of America said the company continues gaining share in the next-generation database market.
MongoDB disclosed wins with multiple frontier AI labs, supporting the view that Atlas is becoming an increasingly important platform for production AI workloads. Investors will be watching whether Atlas can sustain growth in the high-20% range, whether AI demand expands beyond early adopters, and whether MongoDB can continue converting that demand into revenue growth, margin expansion, and free cash flow.
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