Datadog, Inc.
Latest List Rankings
Current Synopsis
Datadog is an observability, cloud monitoring and security platform for modern applications, infrastructure and AI workloads. Q1 2026 revenue grew 32% YoY to $1.006B, with $335M operating cash flow, $289M FCF and about 4,550 customers above $100K ARR. AI stack position: AI operations/observability layer: Datadog monitors applications, infrastructure, GPU fleets, model-serving reliability, security and developer workflows. It is not compute hardware, but it is credible production AI software infrastructure as AI apps move into operation.
Current Pillar Scores
+35% model: valuation sanity is 44.7/100, supported by EV/sales 23.0x, FCF yield 1.1%, gross margin 79.9%, profit margin 3.7%. 2x model: valuation-to-growth is 57.0/100 with convexity 78.9/100; that means the score is rewarding growth-adjusted asymmetry, not cheapness in isolation.
The earnings/growth score is driven by reported fundamentals, not narrative. revenue growth 32.2%, earnings growth 104.0%, gross margin 79.9%, operating margin 0.8%, profit margin 3.7%, FCF margin 25.5%. Component support: growth acceleration 72.3, survivability 96.9.
Catalyst Edge is the human-researched AI-thesis score: 78/100, with AI thesis alignment 82/100. AI operations/observability layer: Datadog monitors applications, infrastructure, GPU fleets, model-serving reliability, security and developer workflows. It is not compute hardware, but it is credible production AI software infrastructure as AI apps move into operation. The main upside evidence: Q1 revenue grew 32% YoY with strong FCF and $4.8B cash/marketable securities.; Launched GPU Monitoring, MCP Server, Bits AI Security Agent and Experiments; these are directly relevant to AI production operations.; $100K+ ARR customers grew 21% YoY, suggesting enterprise platform consolidation continues..
Technical setup comes from price action, not opinion: 20-day return 76.0%, 60-day return 102.1%, 120-day return 63.4%, 60-day relative strength vs QQQ 80.7%, 1-year max drawdown -48.6%, distance from 52-week high -1.0%, 60-day annualized volatility 80.6%. Above 50dma: True; above 200dma: True.
For June this pillar is better read as options/positioning confirmation, not social-media fluff. ATM implied volatility 67.2%, call/put OI 0.7, call/put volume 0.4, OTM call OI share 4.5%, short % float 5.4%, short ratio 2.4. Component support: options asymmetry 64.2, squeeze bonus 3.0.
Goldilox is the bull-case market-cap math: $88.0B current market cap vs $160.0B qualitative bull market cap, or about 1.82x. 35%: +35% is credible if Q2/FY26 guidance proves conservative, AI/GPU observability products expand attach rates, and high-end customers keep growing above 20%. At the quant market cap of ~$88.0B, the qualitative bull case of ~$160B is ~1.82x, leaving room for 35% if execution stays clean. 2x: A 2x is plausible but demanding: FY26 revenue needs to trend above the $4.30B-$4.34B guide, growth should remain around 30%+, FCF margins should stay robust, and GPU Monitoring/MCP Server/Bits AI should demonstrate that Datadog is becoming a default control plane for AI operations. The guardrails are: At ~23x quant EV/sales, Datadog needs sustained 30%+ growth and clean margins.; Hyperscaler-native tools, OpenTelemetry/open-source stacks, Grafana, Dynatrace and New Relic/Splunk ecosystems pressure observability budgets.; Demote if FY26 revenue guidance is not raised after Q2/DASH or growth slows materially below 30%.; Cut from 2x if large-customer growth falls below high-teens or FCF margin compresses meaningfully..
Current Path to Target
+35% is credible if Q2/FY26 guidance proves conservative, AI/GPU observability products expand attach rates, and high-end customers keep growing above 20%. At the quant market cap of ~$88.0B, the qualitative bull case of ~$160B is ~1.82x, leaving room for 35% if execution stays clean.
A 2x is plausible but demanding: FY26 revenue needs to trend above the $4.30B-$4.34B guide, growth should remain around 30%+, FCF margins should stay robust, and GPU Monitoring/MCP Server/Bits AI should demonstrate that Datadog is becoming a default control plane for AI operations.
Current Key Risk
At ~23x quant EV/sales, Datadog needs sustained 30%+ growth and clean margins.; Hyperscaler-native tools, OpenTelemetry/open-source stacks, Grafana, Dynatrace and New Relic/Splunk ecosystems pressure observability budgets.; AI features may defend existing spend rather than create enough incremental revenue for a 2x.
Current Key Metrics
BRRR Appearance History
Current analysis stays canonical. This is the compact scoreboard of where the name has shown up across monthly BRRR lists.
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