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Database firm MongoDB shares jump after Q3 earnings beat

MongoDB shares rose 15% in after-hours trading on December 1, 2025 after the database software company posted Q3 earnings and revenue that exceeded analyst expectations.

MongoDB reported Q3 revenue of US$628 million, up 19% year-on-year, compared to the US$592 million expected by LSEG analysts.

Adjusted earnings per share reached US$1.32, higher than the projected 80 cents.

The company reported a net loss of US$2 million, or 2 cents per share, narrowing from a net loss of US$9.8 million a year ago.

MongoDB expects Q4 revenue between US$665 million and US$670 million.

The company also raised its full-year 2026 revenue forecast to a range of US$2.4 billion to US$2.4 billion, above its previous guidance and market estimates.

🔗 Source: CNBC

🧠 Food for thought

Implications, context, and why it matters.

Atlas growth hints MongoDB’s AI pitch lands with enterprises

  • Atlas grew 30% YoY in Q3 1. The fully managed cloud database accelerated from mid-20s, and it makes up 75% of revenue 1.
  • The company added customers with $100K+ in annual recurring revenue (ARR) to reach 2,694 accounts, which expanded beyond initial deployments 1.
  • Non-GAAP (excluding certain items under Generally Accepted Accounting Principles) operating margin moved to 20% from 19% year over year 1. Free cash flow (cash generated after operating and capital expenditures) rose to $140.1 million from $34.6 million, which kept growth profitable 1.
  • The CEO role moved to CJ Desai in November, after Dev Ittycheria 21. Prediction markets put odds at 96.8% on an earnings beat before results 21.

SIs and migration firms can map MongoDB partners for gaps

  • The partner program offers system integrator (SI) certifications at Associate and Architect levels, plus free sales training with technical coursework 3. Partners get marketing help with events, webinars, and brand resources 3.
  • A co-sell track gives select partners sales support, opportunity leads, plus work on customer goals to shorten cycles while lifting deal size 3.
  • Atlas runs on-premises (in a company’s own data center), in public clouds, or at the edge (compute located closer to where data is generated) 3. Automatic sharding (splitting data across servers) pairs with global clusters (databases distributed across regions) to help partners tackle deployments for legacy database upgrades 3. Rising Atlas use fuels demand for migration expertise and optimization services 13.

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