$329.14
50.7% vs S&P 12m
Business overview
Document database with vector search and Atlas multi-cloud distribution; AI-native developer workloads are a growth wedge.
AI agent applications often use Mongo as the flexible operational data store; growth durability vs. competition is the swing factor.
Products
- Atlas
- Atlas Vector Search
- Community/Enterprise
Customers (1)
- Developers globally
Competitors (3)
- PostgreSQL ecosystem
- DynamoDB
- Couchbase
Composite score
Higher = stronger overall research case
Fundamental67
Technical65
Valuation50
AI relevance65
Risk-adjusted (higher = safer)49
Segment-relative fundamental percentile: 69
Synthetic 1Y price action
Deterministic price series; 50d (yellow) and 200d (orange) MAs shown
3M RS: -15.8%6M RS: -14.4%12M RS: 50.7%Vol30d: 58%DD52w: -25.3%
Financial summary
Curated, illustrative
Revenue
$2.46B
Growth (YoY)
26.7%
Gross margin
71.7%
Operating margin
0.0%
FCF
$463.32M
Capex
$41.83M
Net cash / (debt)
$2.32B
ROIC
-2.4%
Customer conc.
Medium
Valuation
Market cap
$26.50B
Enterprise value
$24.17B
P/E (TTM)
—
Forward P/E
46.5x
EV / Sales
9.8x
EV / EBITDA
80.0x
P / FCF
57.2x
PEG
1.7x
Rule of 40
30.0%
Risks
Severity 1 (low) to 5 (severe)
- 4Competition from hyperscaler vector DBs
- 3Growth deceleration
Score components
What drove the composite
Growth81
Profitability30
Cash generation70
Balance sheet96
Moat / AI relevance75
Capital intensity (higher = lighter)80
Customer diversification60
Valuation discipline (dilution)65
Trend (MA50/MA200)65
Momentum (3/6/12m)50
Relative strength100
Realized vol (higher = lower vol)34
Segment peers
Other companies in AI infra SW