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FY2026 Q1
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Datadog, Inc. earnings call
Buzzberg read
Non-AI customer revenue growth accelerated to 20% year-over-year, up from 23% last quarter.
Datadog reported a blowout Q1 with revenue of $1.01B (up 32% YoY), record ARR additions, and broad-based growth across AI and non-AI customers. Management raised guidance conservatively, citing strong demand and the emergence of training workloads as a new growth vector. Q1 revenue accelerated to 32% YoY, surpassing $1B for the first time; ARR exceeds $4B.
Buzzberg read Non-AI customer revenue growth accelerated to 20% year-over-year, up from 23% last quarter. Datadog reported a blowout Q1 with revenue of $1.01B (up 32% YoY), record ARR additions, and broad-based growth across AI and non-AI customers. Management raised guidance conservatively, citing strong demand and the emergence of training workloads as a new growth vector. Q1 revenue accelerated to 32% YoY, surpassing $1B for the first time; ARR exceeds $4B. Read full analysisCollapse analysis
Datadog reported a blowout Q1 with revenue of $1.01B (up 32% YoY), record ARR additions, and broad-based growth across AI and non-AI customers. Management raised guidance conservatively, citing strong demand and the emergence of training workloads as a new growth vector. Q1 revenue accelerated to 32% YoY, surpassing $1B for the first time; ARR exceeds $4B.
- Non-AI customer revenue growth accelerated to 20% YoY, indicating broad market strength.
- Landed seven-figure and eight-figure deals with two of the world's biggest AI research teams for training workflow monitoring.
- Record new logo bookings with land size doubled YoY, indicating strong enterprise demand.
Revenue$1.0064B+6% QoQ
EPS$0.60+2% QoQ
Gross margin79.21%Reported
Operating margin0.73%Reported
6 grounded callouts
What matters now
The highest-signal changes from the call.
AI
Landing two new AI research deals with world's largest tech companies.
Demand
Record new logo bookings nearly double year-over-year.
Show 3 more callouts
AI
Training workloads become a viable market for Datadog.
Growth
FedRAMP High certification opens public sector opportunities.
Demand
Record sequential ARR added in Q1.
Reported period
Actuals
| Metric | Reported | Change |
|---|---|---|
| Revenue | $1.0064B | +6% QoQ |
| EPS | $0.60 | +2% QoQ |
| Gross margin | 79.21% | Reported |
| Operating margin | 0.73% | Reported |
| Free cash flow | $0.3233B | +2% QoQ |
| Capex | $0.0114B | Reported |
Forward-looking
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| EPS | FY2026 Q2 | $0.57–$0.59 | $0.58 | Guided |
| EPS | FY2026 | $2.36–$2.44 | $2.40 | Guided |
| Operating margin | FY2026 Q2 | 21%–22% | 21.5% | Guided |
| Operating margin | FY2026 | 22%–23% | 22.5% | Guided |
| Revenue | FY2026 Q2 | $1.07B–$1.08B | $1.075B | Guided |
| Revenue | FY2026 | $4.3B–$4.34B | $4.32B | Guided |
AI, capex & demand read
Management read
Upbeat
Management expressed strong confidence in accelerating growth, highlighted record new customer and ARR additions, and outlined expanding opportunities in AI and public sector, while maintaining a long-term secular growth outlook.
Management AI read
Management highlighted AI as a second secular growth driver, with AI-native customer growth outpacing the rest of the business and expanding into new areas like AI training workloads, GPU monitoring, and AI agents. They noted a significant increase in AI-related usage within their platform, including quadrupling of MCP server tool calls and tripling of LLM observability spans quarter-over-quarter,
Investment and capacity
Management indicated capital expenditures remain low as they run most workloads on cloud (OPEX not CAPEX), but they are increasing R&D investments, including in AI training models and data residency capabilities. They expect CapEx and capitalized software to remain 4-5% of revenue in fiscal 2026, with no structural change to the model.
all 8 named companies below
Companiesreturns since call
Customers
OPENAI
ANTHROPIC
XAI.PVT
Customers
Olivier Plamel
Datadog landed seven-figure and eight-figure deals with two of the world's largest AI research teams, likely including OpenAI, indicating significant adoption of Datadog's GPU monitoring and training workflow tools.
Evidence
“This quarter included new land deals with two of the world's biggest AI research teams, helping them improve and optimize their training workflows.”
Supply chain
Supply chain
Olivier Plamel
Two of the world's biggest AI research teams (likely hyperscaler labs) have chosen Datadog for training workload monitoring, marking a shift from inferencing to training as a viable market for observability. — As AI training becomes more democratized and heterogeneous across silicon vendors, demand for GPU monitoring and observability tools will rise, potentially increasing operational efficiency and changing the competitive landscape.
Evidence
“Now we actually see training becoming a market. We started lending customers that are actually hyperscalers, that have a whole host of homegrown technologies, and that are using us specifically in their superintelligence labs to help”
Supply chain
Olivier Plamel
Non-AI customer revenue growth accelerated to 20% year-over-year, up from 19% last year, indicating that AI adoption is driving usage of Datadog's platform across all customer types. — This suggests that AI is a catalyst for broader cloud migration and digital transformation, benefiting cloud service providers.
Evidence
“Non-AI customer revenue growth accelerated again this quarter to meet 20% year-over-year, up from 23% last quarter and 19% in the year-over-year quarter.”
External signals
Supply-chain alpha · 3returns since call
Two of the world's biggest AI research teams (likely hyperscaler labs) have chosen Datadog for training workload monitoring, marking a shift from inferencing to training as a viable market for observability.
Evidence
“Now we actually see training becoming a market. We started lending customers that are actually hyperscalers, that have a whole host of homegrown technologies, and that are using us specifically in their superintelligence labs to help monit…”
Non-AI customer revenue growth accelerated to 20% year-over-year, up from 19% last year, indicating that AI adoption is driving usage of Datadog's platform across all customer types.
Datadog landed new logo bookings at a record pace with average deal size more than doubling year over year, indicating strong demand and larger enterprise commitments.
Evidence
“New logo annualized bookings a new all-time record by a significant margin and more than double versus a year ago quarter. ... our new logo average land size also set a record and more than doubled year over year as we continue to land lar…”
Methodology & coverage
Management-only analysis. All 8 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.