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U.S.-listed market research with live data and structured thesis notes.

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Use up to 4 U.S.-listed names from this dashboard to compare valuation, growth, cash flow, balance-sheet strength, and the curated investment case in one place.

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Silicon Stack Data Center Fabric AI Software Power + Grid Robotics
MDB Cloud, Data & AI Software

MongoDB

Developer data platform

Detail page

Modern AI applications need flexible operational databases for product data and app state.

Price $393.42
1D change -0.35%
Market cap $31.64B
Sector Technology

Shared metric table

Live market metrics plus reported quarterly revenue and profit QoQ rows.

Green and red only apply where direction is meaningful. Quarterly revenue and profit cells inherit the sign of the reported QoQ change, which can swing sharply when the prior quarter included a one-time item.

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Metric MDB
Price $393.42
1D Change -0.35%
Market Cap $31.64B
Enterprise Value $29.34B
Trailing P/E 524.6
Forward P/E 50.5
PEG Ratio 1.67x
Price / Sales 11.4
EV / Revenue 10.5
Revenue Growth 30.5%
Earnings Growth —
Gross Margin 72.7%
Operating Margin 3.7%
Net Margin 2.1%
ROE 2.0%
Free Cash Flow $561.4M
FCF Margin 20.2%
Debt / Equity 1.85x
Current Ratio 4.87x
Dividend Yield 0.00%
Next Earnings Dec 01, 2026
Quarterly Revenue $771.8M
Revenue QoQ +12.2%
Quarterly Net Income $40.9M
Net Income QoQ +823.3%

MDB thesis lens

Developer data platform

Why it could benefit

  • Modern AI applications need flexible operational databases for product data and app state.
  • Atlas can participate as developers build AI-native apps in the cloud.
  • Vector-search and data services make MongoDB more relevant to AI application stacks.

Moat / edge

  • Large developer ecosystem.
  • Managed Atlas cloud platform with recurring usage.
  • Flexible document model suited to modern applications.

What to watch

  • Atlas growth and workload expansion.
  • AI application use cases and vector-search adoption.
  • Competitive pressure from cloud-native databases.

Key risks

  • Usage growth can slow with cloud cost optimization.
  • Database competition is intense and price-sensitive.