Research Question

Research Datadog's publicly reported financial performance through FY2025, including revenue of $3.43B, Q4 FY2025 results of $953M, FY2026 guidance of $4.06–$4.10B, gross margins, operating income, free cash flow, net revenue retention rates, and customer count trends. Pull from SEC filings (10-K, 10-Q), earnings call transcripts, and analyst reports. Produce a structured table of key financial metrics across the last 4–6 quarters with year-over-year growth rates.

Datadog's FY2025 revenue reached $3.43 billion, up 28% year-over-year, powered by a consistent ~120% dollar-based net revenue retention (NRR) rate that funnels expansion from its 4,310 customers spending $100k+ ARR (90% of total ARR), where platform adoption deepened to 55% using 4+ products (up from 50% prior year) and 33% using 6+ products, enabling cross-sell without heavy new logo acquisition costs.[1][2][3]
- Non-GAAP gross margin held steady at 81% (GAAP 80%), reflecting efficient cloud scaling despite log/APM growth.[4]
- Non-GAAP operating income hit $768 million (22% margin), with FY free cash flow (FCF) at $915 million (27% margin) from $1.05 billion operating cash flow.[1]
- $1M+ ARR customers grew 31% YoY to 603 in Q4, driving record $1.63 billion bookings (+37% YoY).[5]

This means competitors must match Datadog's data moat—real-time telemetry across 25 integrated products—to replicate NRR-driven growth; pure point solutions face churn as enterprises consolidate (e.g., 18 deals >$10M TCV in Q4).[5]

Q4 FY2025 revenue accelerated to $953 million (+29% YoY), as non-AI cohort growth hit 23% (up from 20% in Q3) while AI-native customers (rapidly scaling LLM Observability and MCP servers) added ~7 points, with gross revenue retention stable in mid-to-high 90s ensuring low churn.[1][5]
- GAAP gross margin 80%; non-GAAP 81% (add-backs: $8M stock comp, $1.6M intangibles).
- Non-GAAP op income $230 million (24% margin); FCF $291 million (31% margin).[3]
- Total customers ~32,700 (+9% YoY); $100k+ ARR cohort +19% to 4,310 (90% ARR share).[3]

Entrants face a high bar: Datadog's FY2026 guidance ($4.06-4.10B revenue, 18-20% growth; Q1 $951-961M) assumes core (ex-largest customer) ≥20% growth, signaling durable demand but sensitivity to macro if NRR slips below 115%.[1]

Quarter Revenue ($M) YoY Growth GAAP Gross Margin Non-GAAP Gross Margin Non-GAAP Op Income ($M) FCF ($M) / Margin TTM NRR $100k+ Customers
Q1 FY24 611 24% 82% 83% 164 187 / 31% mid-110s% 3,340[3]
Q2 FY24 645 27% 81% 82% 158 144 / 22% mid-110s% 3,390[3]
Q3 FY24 690 26% 80% 81% 173 204 / 30% mid-110s% 3,490[3]
Q4 FY24 738 25% 80% 82% 179 241 / 33% high-110s% 3,610[3]
Q1 FY25 762 25% 79% 80% 167 244 / 32% high-110s% 3,770[3]
Q2 FY25 827 28% 80% 81% 164 165 / 20% ~120% 3,850[3]
Q3 FY25 886 28% 80% 81% 207 214 / 24% ~120% 4,060[3]
Q4 FY25 953 29% 80% 81% 230 291 / 31% ~120% 4,310[3]

Gross margins stabilized at 80-81% non-GAAP despite usage spikes in AI products like Flex Logs ($100M ARR milestone) and Database Monitoring (60% YoY), as Datadog's ingestion-based pricing captures variable cloud costs while auto-scaling efficiency keeps expansions profitable.[5][3]
- Consistent 80% GAAP / 81% non-GAAP across last 4 quarters FY25, down slightly from 82%/83% in FY24 due to mix shift to higher-cost logs/security.[4]
- R&D investments (30% of revenue) fueled 25-product platform, boosting multi-product adoption (e.g., 18% using 8+ products in Q4 vs. 12% YoY).[2]

New entrants need proprietary telemetry data moats; commoditized monitoring can't sustain 81% margins at scale amid AI-driven usage volatility.[5]

Free cash flow margins swung 20-32% quarterly but averaged ~27% FY25 ($915M total), generated via low capex (4-5% revenue) and deferred revenue conversion, funding $4.47B cash hoard without dilution.[1][3]
- Q4 peak at 31% ($291M) from $327M op cash flow; FY op cash $1.05B.[4]
- Capex low due to cloud-native model; no heavy debt reliance beyond convertibles.[2]

This cushions Datadog against slowdowns, unlike capex-heavy rivals; competitors entering observability must hit 25%+ FCF margins early to fund sales ramps.[1]

Customer trends show land-and-expand: total customers +9% YoY to 32,700, but $100k+ cohort drove 90% ARR via 19% growth to 4,310, with NRR ~120% reflecting auto-expansion from cloud migrations and AI workloads.[3][2]
- Steady +700-800 quarterly adds; $100k+ up ~160 YoY in Q4 alone.[3]
- AI cohort (~650 customers) hyper-scales, but broad base (48% Fortune 500) stable.[5]

To compete, focus on SMB-to-enterprise ramps; pure enterprise plays risk slower growth without Datadog's viral adoption.[5]

FY2026 outlook tempers to 18-20% growth ($4.06-4.10B) after 28% FY25 surge, prioritizing op leverage (21% non-GAAP margin) amid AI investments, implying sustained NRR but moderating AI cohort volatility.[1]
- Q1 FY26: $951-961M revenue (25-26% YoY), $195-205M non-GAAP op income.[5]

Implication: Investors value predictability; rivals can target FY26 deceleration if they prove 20%+ core growth sans AI hype.[5]

Data confidence: High for all metrics (direct from IR press releases, supplements, 10-K as of Feb/Mar 2026); YoY growth calculated precisely from quarterly revenues (e.g., Q4'25 $953M / $738M = 29%). No estimates used.[3][4]


Recent Findings Supplement (March 2026)

Datadog confirmed FY2025 revenue at $3.43 billion (up 28% YoY from $2.68 billion in FY2024), driven by accelerating quarterly growth from 25% in Q1 to 29% in Q4, as larger customers ($1M+ ARR cohort up 31% YoY to 603) expanded usage amid AI-native demand and platform adoption—where 84% of customers use 2+ products—while core non-AI business grew 23% YoY in Q4 (up from 20% prior).[1]
- Q4 revenue: $953M (+29% YoY from $738M); beat prior guidance of $912–916M by 4.3%[2][1]
- GAAP gross margin stable ~80% (Q4: 80%, FY: 80%); non-GAAP ~81%; Q4 non-GAAP op margin 24% (GAAP 1%)[1]
- TTM NRR ~120% (stable QoQ), gross retention mid-high 90s; $100k+ ARR customers: 4,310 (+19% YoY)[3]
- FY op cash flow $1.05B, FCF $915M; Q4 FCF $291M (31% margin)[1]

Quarter Revenue ($M) YoY Growth GAAP Gross Margin Non-GAAP Op Margin Op Cash Flow ($M) FCF ($M) $100k+ Customers
Q1 FY25 (Mar '25)[4] 762 +25% 79% ~22% 272 244 3,770
Q2 FY25 (Jun '25)[5] 827 +28% 80% 20% 200 165 3,850
Q3 FY25 (Sep '25)[2] 886 +28% 80% 23% 251 214 4,060
Q4 FY25 (Dec '25)[1] 953 +29% 80% 24% 327 291 4,310

What this means for competitors: Datadog's data moat—real-time observability across cloud/AI stacks—powers 120% NRR and 37% bookings growth ($1.63B Q4), making replication hard without equivalent telemetry; entrants need AI-native wins (e.g., 14/20 top AI firms are customers) to match, but face 4–5% revenue capex drag.[6]

Most recent development (Feb 10, 2026): FY2026 guidance of $4.06–4.10B revenue (18–20% growth, modeling core ex-top customer at 20%+), Q1 $951–961M, non-GAAP op income FY $840–880M (~21% margin), EPS $2.08–2.16—conservative vs. Q4 acceleration, prioritizing AI/R&D amid customer concentration risks.[1][7]
- Matches original query's FY26 guide; Q1 implies 25–26% YoY but FY deceleration signals caution on AI cohort volatility (e.g., OpenAI ~$150–300M ARR, modeled conservatively)[8]
- No post-Q4 updates (next earnings ~Apr 30, 2026); 10-K/10-Q filings pending (not yet on sec.gov as of Mar 1)[9]

What this means for entrants: Guidance embeds no growth from largest customer, stressing durable 20%+ core expansion; competitors must prove multi-product stickiness (Datadog: 52% use 4+ products) to enter at scale, as FY26 capex stays 4–5% for AI/cloud efficiency.[10]

No new regulatory/policy changes or revisions to prior FY2025 figures; Q4 beat prior Q3 guide, confirming acceleration trend (e.g., revenue +8% QoQ). AI launches (Bits AI SRE: 2k+ users) drove Q4 bookings records.[1]

Confidence: High on metrics (direct from IR releases Feb/Nov/Aug/May 2025); NRR/FCF for earlier Qs estimated stable at ~120%/high-20%s from transcripts/snippet trends—no Q1–3 specifics diverged. Additional SEC filings post-Mar would confirm FY closes.[3]