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DDOG Cloud, Data & AI Software

Datadog

Observability for AI and cloud workloads

Detail page

AI applications create more complex infrastructure, model, and application monitoring needs.

Price $221.37
1D change -0.73%
Market cap $78.80B
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 DDOG
Price $221.37
1D Change -0.73%
Market Cap $78.80B
Enterprise Value $75.33B
Trailing P/E 553.4
Forward P/E 77.5
PEG Ratio 1.39x
Price / Sales 21.5
EV / Revenue 20.5
Revenue Growth 32.2%
Earnings Growth 104.0%
Gross Margin 79.9%
Operating Margin 0.8%
Net Margin 3.7%
ROE 3.9%
Free Cash Flow $936.7M
FCF Margin 25.5%
Debt / Equity 0.32x
Current Ratio 3.40x
Dividend Yield
Next Earnings Aug 06, 2026
Quarterly Revenue $1.01B
Revenue QoQ +5.6%
Quarterly Net Income $52.6M
Net Income QoQ +12.9%

DDOG thesis lens

Observability for AI and cloud workloads

Why it could benefit

  • AI applications create more complex infrastructure, model, and application monitoring needs.
  • Datadog can expand across observability, security, and developer workflows.
  • Usage-based growth can benefit as AI services move into production.

Moat / edge

  • Broad cloud observability platform.
  • Land-and-expand model across modules.
  • Strong developer and operations mindshare.

What to watch

  • Net retention and large-customer expansion.
  • AI observability and security product uptake.
  • Cloud optimization pressure.

Key risks

  • Consumption can slow when customers optimize cloud spend.
  • Competition remains heavy from hyperscalers and other observability vendors.