canar.ai
Rankings/MDB/Q4 2025 Analysis

MongoDB

MDB
Q4 2025(MDB Q3 FY2026)Estimated6% AI
AI Revenue %
6%
AI Fair Value
$692.1M
AI Revenue (Q)
$87.5M
Total Revenue (Q)
$1.5B
Source: SEC EDGAR 10-Q Filing
View 10-Q on SEC.gov

Analysis

Q3 FY2026 (3 months ended Oct 31, 2025). Total revenue $628.3M (Subscription $609.1M + Services $19.2M). Atlas revenue 75% of total ($471.2M). MongoDB nearly broke even this quarter with a loss from operations of only -$18.4M and pre-tax income of $1.4M. Nine-month revenue of $1,768.7M represents 21% YoY growth from $1,458.0M. Platform downloads exceeded 650M. Continued $145M stock repurchase in Q3. Deferred revenue, non-current jumped to $66.2M from $25.4M (start of year), suggesting multi-year enterprise AI platform deals. No AI-specific revenue disclosed. Estimate 6% as AI workload adoption reaches meaningful scale on MongoDB Atlas, driven by enterprise RAG deployments, AI agent architectures, and vector search workloads. Math: $628.3M x 6% = ~$37.7M estimated AI revenue.
Analyzed by claude-opus-4-6

Quoted Figures

Subscription $609,067K, Services $19,242K, Total revenue $628,309K
10-Q for period ended October 31, 2025
MongoDB Atlas revenue represented 75%...of our total revenue during the three months ended October 31, 2025
10-Q for period ended October 31, 2025, MD&A
Our platform has been downloaded from our website more than 650 million times since February 2009
10-Q for period ended October 31, 2025, MD&A
Deferred revenue, non-current: $66,173K as of October 31, 2025 vs $25,404K as of January 31, 2025
10-Q for period ended October 31, 2025, Balance Sheet

AI Products Identified (Ring 1)

MongoDB Atlas Vector SearchMongoDB Atlas (AI workload consumption)Stream processing for AI data pipelines

AI-Enabled Items (Ring 2 — Not Counted)

These items use AI but are not counted in the AI revenue estimate because they primarily serve non-AI functions.

Atlas consumption by AI/ML application developersRAG workloadsEmbedding storage and retrievalAI agent and copilot architecturesEnterprise AI application backendsMulti-year AI platform commitments (reflected in deferred revenue growth)

Confidence Tier

EstimatedNo direct AI revenue disclosure — estimated from product mix