Demand
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자본지출
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FY2026 Q1
개선
Datadog, Inc. 실적 발표
Buzzberg 분석
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 분석 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. 전체 분석 보기분석 접기
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.
매출$1.0064B+6% 전분기 대비
주당순이익(EPS)$0.60+2% 전분기 대비
매출총이익률79.21%보고값
영업이익률0.73%보고값
근거 있는 핵심 내용 6개
지금 중요한 점
이번 발표에서 가장 의미 있는 변화를 정리했습니다.
AI
Landing two new AI research deals with world's largest tech companies.
Demand
Record new logo bookings nearly double year-over-year.
핵심 내용 3개 더 보기
AI
Training workloads become a viable market for Datadog.
Growth
FedRAMP High certification opens public sector opportunities.
Demand
Record sequential ARR added in Q1.
보고 기간
보고 실적
| 지표 | 보고값 | 변화 |
|---|---|---|
| 매출 | $1.0064B | +6% 전분기 대비 |
| 주당순이익(EPS) | $0.60 | +2% 전분기 대비 |
| 매출총이익률 | 79.21% | 보고값 |
| 영업이익률 | 0.73% | 보고값 |
| 잉여현금흐름 | $0.3233B | +2% 전분기 대비 |
| 자본지출 | $0.0114B | 보고값 |
향후 전망
향후 가이던스
| 지표 | 기간 | 범위 | 중간값 | 상태 |
|---|---|---|---|---|
| 주당순이익(EPS) | FY2026 Q2 | $0.57–$0.59 | $0.58 | 제시 |
| 주당순이익(EPS) | FY2026 | $2.36–$2.44 | $2.40 | 제시 |
| 영업이익률 | FY2026 Q2 | 21%–22% | 21.5% | 제시 |
| 영업이익률 | FY2026 | 22%–23% | 22.5% | 제시 |
| 매출 | FY2026 Q2 | $1.07B–$1.08B | $1.075B | 제시 |
| 매출 | FY2026 | $4.3B–$4.34B | $4.32B | 제시 |
AI, 자본지출 및 수요 분석
경영진 분석
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.
경영진의 AI 분석
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,
투자 및 생산능력
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.
아래에 언급된 기업 8개 모두 표시
기업발표 이후 수익률
고객
OPENAI
ANTHROPIC
XAI.PVT
고객
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.
근거
“This quarter included new land deals with two of the world's biggest AI research teams, helping them improve and optimize their training workflows.”
공급망
공급망
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.
근거
“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”
공급망
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.
근거
“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.”
외부 신호
공급망 알파 · 3발표 이후 수익률
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.
근거
“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.
근거
“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…”
방법론 및 범위
경영진 발언만 분석합니다. 검증된 기업 언급 8개를 모두 표시하며, 보고 실적과 향후 가이던스를 분리합니다. 공개 근거는 화자가 표시된 짧은 인용문 8개로 제한됩니다. AI 분석은 불완전하거나 틀릴 수 있으므로 중요한 주장은 원문에서 확인하세요.