DDOG · Q3 2025 Earnings

Bullish

Datadog

Reported November 6, 2025

30-second summary

Datadog printed $886M (+28.4% YoY), $35M above the high end of its own Q3 guide, and lifted the FY25 revenue growth bar from 23-24% to 26% while raising FY operating margin from 21% to 22%. The bigger signal sits underneath: management called out the strongest sequential usage growth from non-AI existing customers in 12 quarters, new logo bookings more than doubling YoY, and AI customers spending $1M+ reaching 15 — meaning the upside is broadening beyond the AI-native cohort that drove last quarter's narrative. Non-GAAP EPS of $0.55 came in $0.09 (~20%) above the high end of the prior guide.

Headline numbers

EPS

Q3 FY2025

$0.55

Revenue

Q3 FY2025

$0.89B

+28.4% YoY

Gross margin

Q3 FY2025

81.0%

Free cash flow

Q3 FY2025

$0.21B

Operating margin

Q3 FY2025

23.0%

Key financials

Q3 FY2025

Metric	Q3 FY2025	YoY	Q2 FY2025	QoQ
Revenue	$0.89B	+28.4%	$0.83B	+7.1%
EPS	$0.55	—	$0.46	+19.6%
Gross margin	81.0%	—	80.0%	+100bps
Operating margin	23.0%	—	-4.0%	+2700bps
Free cash flow	$0.21B	—	$0.17B	+29.7%

Guidance

Guidance is issued for both next quarter and the full year. Both may appear below.

Actuals vs prior guidance

Metric	Period	Prior guide	Actual	Δ	Result
Revenue	Q3 FY2025	$847 million to $851 million	$886 million	+$35-39 million above guide	Beat
Non-GAAP EPS	Q3 FY2025	$0.44 to $0.46	$0.55	+$0.09 above guide	Beat
Non-GAAP operating income	Q3 FY2025	$176 million to $180 million	$204 million	+$24-28 million above guide	Beat
Operating margin (non-GAAP)	Q3 FY2025	21%	23%	+200 bps above guide	Beat

New guidance

Metric	Period	Guide	YoY
Weighted average diluted shares outstanding	FY 2025	364 million	—

Changes to prior guidance

Metric	Period	Prior guide	New guide	Δ	Result
Revenue	FY 2025	$3.312 billion to $3.322 billion	$3.386 billion to $3.390 billion	+$64-78 million	Raised
Non-GAAP EPS	FY 2025	$1.80 to $1.83	$2.00 to $2.02	+$0.17-0.22	Raised
Non-GAAP operating income	FY 2025	$684 million to $694 million	$754 million to $758 million	+$60-74 million	Raised
Operating margin (non-GAAP)	FY 2025	21%	22%	+100 bps	Raised
Year-over-year revenue growth	FY 2025	23% to 24%	26%	+2-3 pts	Raised
Net interest and other income	FY 2025	approximately $150 million	approximately $170 million	+$20 million	Raised
Capital expenditures and capitalized software	FY 2025	4% to 5% of revenues	4% of revenues	-1 pt (low-end)	Lowered

Platform metrics

Q3 FY2025

Segment	Q3 FY2025
Customers with $100k+ ARR	4,060
Platform Integrations	1,000
Revenue Growth YoY	28.4%

Profitability

Q3 FY2025

Segment	Q3 FY2025
Non-GAAP Operating Margin	23.0%
Free Cash Flow Margin	24.2%
Operating Cash Flow	$251 million
Free Cash Flow	$214 million
Non-GAAP Gross Margin	81.0%

Management tone

Q4-24 customer optimization hangover → Q1-25 AI experiments → Q2-25 AI-native cohort named as the accelerant → Q3-25 acceleration broadens to the base business.

The single most important tone shift: non-AI growth flipped from "stable" to "accelerating to a 12-quarter high." A quarter ago, the careful framing was that ex-largest-AI-customer growth was stable — management was explicitly defending the base business against the optimization fear. This quarter, the same base business is described as the source of "a notable inflection" with "the sequential usage growth for non-AI existing customers was the highest we have seen going back 12 quarters." That replaces the AI-concentration anxiety that dominated Q2 with a much harder-to-pick-apart bull case: the upside is no longer one cohort. The Q&A response from Singh on drivers reinforced this — management attributed the move to a positive demand environment, productive sales capacity, and multi-product traction, explicitly not a cloud migration spike.

AI agents moved from preview announcements to operational ROI. Two quarters ago Bits AI was described as a forward product roadmap. Last quarter, agents were "fully autonomous" launches. This quarter, Bits.ai SRE is described in operational terms: "mean times resolution for our services has improved significantly. For most cases, the investigation is already taken care of well before our engineers sit down and open their laptops." That is a shift from announcement to internal-use case study — the kind of evidence that converts AI agent strategy from feature parity to demonstrated workflow disruption. Thousands of customers are now in preview.

Margin posture turned from "banking efficiency to fund hiring" to "letting it drop through." Q2 carried a 20% operating margin while management leaned into hiring; Q3 printed 23% and Q4 is guided to 24%. The FY operating margin raise from 21% to 22% — paired with the FY revenue raise — says that revenue upside is exceeding the hiring run-rate, not just keeping pace. Management did not soften this with reinvestment caveats.

New logo language got materially more confident. Last quarter the sales-capacity build was described as "becoming productive." This quarter: "New logo annualized bookings more than doubled year over year and set a new record, driven by an increase in average new logo land size, particularly in enterprise." That is a quantified inflection in the go-to-market motion, not a continued ramp narrative.

One hedge worth flagging: management explicitly downgraded the future relevance of the AI cohort disclosure ("we think this metric will become less relevant as AI usage in production broadens"). That softens accountability on the cohort disclosure investors have been using to track the largest customer — exactly the concentration risk Tapebrief watch-listed last quarter. The framing is benign (AI is becoming pervasive, so the cohort is no longer a useful slice), but the practical effect is fewer datapoints to track concentration with.

Recurring themes management leaned on this quarter:

AI agents and observability transforming operations (Bits.ai SRE delivering measurable time-to-resolution improvements)Multi-product platform adoption accelerating across enterprise and SMB cohortsNew logo bookings doubling with larger enterprise land deals and faster ramp velocityAI native customers transitioning from early-stage to mature revenue contributorsSecurity product suite acceleration (mid-50s YoY growth, Cloud Theme success in larger deals)Digital experience products reaching $300M+ ARR with rapid product analytics adoption

Risks management surfaced:

AI cohort concentration risk (largest customer early renewal could impact forward growth visibility)Market maturation risk for AI native cohort (metric expected to become 'less relevant' over time as AI usage broadens)Execution risk on ambitious AI roadmap and go-to-market expansionPotential customer churn if platform adoption does not deliver promised operational efficienciesIntegration dependencies on third-party AI agents and LLM ecosystems (MCP server reliance on Copilot, Claude, etc.)

Q&A highlights

Cash Ryan · Goldman Sachs

How much closer is Datadog to confidently expanding GPU monetization and capitalizing on customer wallet share for training and inferencing workloads on GPU clusters?

Datadog has GPU monitoring products entering the market but generating no significant revenue yet. GPU monetization is identified as a future opportunity, not currently driving reported acceleration metrics.

GPU monitoring products currently in market with no significant revenueCurrent acceleration not related to GPU monetizationGPU monetization identified as future opportunity

Sanjit Singh · Morgan Stanley

What is driving improved performance in non-AI enterprise cohort? Is it cloud migration acceleration, new AI applications, or sales productivity investments?

Three factors: positive demand environment (not massive cloud migration acceleration), growing sales capacity and new go-to-market motions paying off, and multiple products clicking including FlexLogs adoption and new analytics products. Q4 pipeline feels strong.

Demand environment positive but not showing massive cloud migration accelerationSales capacity growth investments paying offMultiple products resonating: FlexLogs large customer adoption, new analytics products, large cloud team land dealsStrong Q4 pipeline expected

Raymond Lenchao · Barclays

Among 15 customers over $1M and 100+ over $100K in AI cohort, what is the nature of these customers? Are they model builders, new application developers, or broader ecosystem?

Customer base is fairly broad across AI stack: model vendors (video, sound generation), coding companies (coding assistants, dev tools), pure AI application companies, infrastructure companies, and some traditional companies (5-8 years old) benefiting from AI. Mix representative of entire AI space.

15 customers over $1M ARR, 100+ customers over $100K ARR in AI cohortMix includes model vendors, coding/developer tools, pure AI applications, infrastructure, and traditional companies pivoting to AICustomer base spans both AI-native and historically non-AI-native businesses

Mark Murphy · J.P. Morgan

On the largest AI customer contract expansion with 'better economics for higher commitment,' how can higher commitment yield better economics if volume discounts typically apply?

Standard motion: customers grow usage, commit to higher volumes, receive better pricing. Usage-based model means lower per-unit pricing on similar monthly consumption. Better economics realized over 12-month period as usage maintains but pricing drops. Overall business backdrop is increased consumption post-renewal.

Motion applies to ~30,000 customersTypical pattern: growth → higher commit → lower price → growth after renewalUsage-based pricing means lower monthly bills on similar consumption with volume discountOverall business shows increased consumption trajectory post-renewal

Gray Powell · BTIG

What surprised management most this year in outperformance from 19% to 26%+ guidance? What is sustainability of these drivers?

Biggest surprise: AI adoption accelerated faster than expected at beginning of year, seen across AI cohort. New products and go-to-market changes clicked earlier than anticipated. Non-AI traditional business also accelerated, not just AI. Drivers supported by good demand environment and successful investments in products and sales capacity.

Revised from 19% revenue growth guidance to 26%+ (tracking above high end)AI adoption acceleration faster than initial expectationsNew products and go-to-market changes delivered faster-than-expected tractionTraditional non-AI business accelerated alongside AI cohort

Answers to last quarter's watch list

AI-native cohort revenue contribution holding above 10 points of YoY growth. Management did not re-disclose the exact YoY growth point contribution from the AI cohort this quarter — and explicitly signaled the metric will become "less relevant" going forward as AI usage broadens. Indirect signals are positive (15 customers at $1M+, ~100 at $100K+, broader customer base), and the lack of a downgrade flag is itself reassuring, but the comparable point-contribution datapoint was not provided.

Not resolved

Concentration disclosure on the largest AI-native customer. Management addressed the largest AI customer on the contract-expansion question (Murphy's "better economics" exchange) but did not re-publish the ex-largest-AI-customer growth comparison that was offered last quarter. Combined with the explicit framing that the cohort metric will become "less relevant," concentration disclosure is narrowing rather than deepening.

Resolved negatively

Gross margin trajectory in H2 — does it cross 81%? Yes. Non-GAAP gross margin came in at 81.0%, ticking up from 80.9% in Q2 and validating the cloud-efficiency narrative management telegraphed.

Resolved positively

Security ARR growth rate at the next disclosure. Security accelerated to mid-50s% YoY (from mid-40s% in Q2), with Cloud Theme cited as winning larger deals. This is acceleration, not deceleration — the second-pillar thesis holds.

Resolved positively

Non-GAAP operating margin in Q3 vs the 21% guide. Q3 came in at 23%, 200bps above guide. Hiring did not run ahead of revenue — revenue ran ahead of hiring, with $24-28M of operating income upside vs guide. Q4 guided to 24%.

Resolved positively

Bits AI agent commercialization signals. Management provided usage framing (thousands of customers in preview for Bits.ai SRE) and concrete operational outcomes from internal use, but did not disclose monetization, pricing model, or customer counts beyond "preview." The architectural framing is still running modestly ahead of revenue disclosure.

Continue monitoring

What to watch into next quarter

Whether Q4 revenue lands inside or above the $912-916M guide. Q3 beat the high end by $35M and Q4 guidance implies ~3% sequential growth versus Q3's apparent step-up — a meaningful guide that is either conservative (consistent with management's stated "imply conservatism" language) or the first sign the AI cohort velocity is normalizing. A Q4 print above $920M validates the former; a print inside the range begins to suggest the latter.

Whether Q4 non-GAAP operating margin clears the 24% guide. Q3 beat by 200bps; a repeat in Q4 would push trailing operating margin meaningfully above the new 22% FY guide and frame the 2026 setup. Anything inside the guide is fine; anything below 23% would suggest the Q3 beat was partially timing.

What replaces the "AI cohort" disclosure. Management telegraphed the metric will become less relevant. Watch what new disclosure (if any) replaces it — Fortune 500 penetration, multi-product adoption depth, or large-deal counts would all be acceptable substitutes; silence would not.

New logo land size and bookings on the Q4 call. Q3 said new logo bookings "more than doubled YoY." A second consecutive quarter of step-change land size would confirm the H2 2024 sales hiring class is delivering structurally, not just a one-quarter pull-forward.

Whether platform-adoption tiers (6+ products at 31%, 8+ at 16%) continue stepping up in Q4. These percentages have moved in lockstep this year. Continued expansion is the strongest argument against the AI-concentration concern.

First quantified monetization signal on Bits.ai SRE or any AI agent product. Preview-to-paid conversion, pricing model commentary, or a customer count at the paid tier on the Q4 call would mark the next step in the agent narrative; absence at Q4 would extend the watch.

Sources

Datadog Q3 2025 press release (8-K exhibit 99.1, filed with SEC): https://www.sec.gov/Archives/edgar/data/1561550/000156155025000310/ex-991x20250930x8k.htm
Datadog Q3 2025 earnings call commentary and Q&A (management prepared remarks and analyst exchanges).

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