Morgan Stanley Technology, Media & Telecom Conference
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MongoDB (MDB) Morgan Stanley Technology, Media & Telecom Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for MongoDB Inc

Morgan Stanley Technology, Media & Telecom Conference summary

8 Jul, 2026

Financial performance and guidance

  • Achieved 20% overall revenue growth and 24% cloud growth in the latest quarter, but guided to 12%-14% growth for fiscal 2026 due to a $50 million headwind from fewer multi-year non-Atlas deals.

  • Non-Atlas revenue is expected to decline in the high single digits, reflecting a lower renewal opportunity after two strong years of multi-year deals.

  • Underlying business growth, normalized for the $50 million accounting impact, is about 300 basis points higher than the headline guide.

  • Operating margin guidance is 10%, down from 15% in fiscal 2025, with half the decline due to the non-Atlas headwind and the rest from increased R&D and awareness investments.

  • Management views this as a transition year, proactively investing to maximize long-term growth, especially in AI.

Business trends and competitive landscape

  • Atlas consumption growth has stabilized, with larger and faster-growing workloads acquired in recent years.

  • Win rates remain high, and prior issues with base workload growth and organizational changes have been addressed.

  • No significant competitive or retention issues identified; management is confident in regaining higher growth rates.

  • Relationships with hyperscalers are strong, with ongoing co-opetition and joint modernization programs.

  • The company is investing in upmarket strategic accounts, where sales productivity is higher.

AI strategy and product innovation

  • AI is seen as a major opportunity, but enterprise adoption is gradual due to skills and trust gaps.

  • Recent acquisition of Voyage AI brings best-in-class embedding and re-ranking models, aiming to reduce hallucinations and improve AI application quality.

  • Plans to integrate auto-embedding and domain-specific models into the core platform later this year, with a roadmap for further AI enhancements.

  • Vector search and RAG adoption are growing, with thousands of customers building AI apps and some large-scale workloads emerging.

  • Focus on delivering an integrated, elegant user experience by simplifying the AI stack for customers.

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