Отчётный звонок Datadog, Inc.
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.
Вывод Buzzberg 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. Читать полный анализСвернуть анализ
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.
Что важно сейчас
Самые значимые изменения по итогам звонка.
Landing two new AI research deals with world's largest tech companies.
Record new logo bookings nearly double year-over-year.
Показать ещё 3 тезиса
Training workloads become a viable market for Datadog.
FedRAMP High certification opens public sector opportunities.
Record sequential ARR added in Q1.
Фактические результаты
| Показатель | Факт | Изменение |
|---|---|---|
| Выручка | $1.0064B | +6% к/к |
| EPS | $0.60 | +2% к/к |
| Валовая маржа | 79.21% | Факт |
| Операционная маржа | 0.73% | Факт |
| Свободный денежный поток | $0.3233B | +2% к/к |
| Капзатраты | $0.0114B | Факт |
Прогноз компании
| Показатель | Период | Диапазон | Середина | Статус |
|---|---|---|---|---|
| EPS | FY2026 Q2 | $0.57–$0.59 | $0.58 | Обозначен |
| EPS | FY2026 | $2.36–$2.44 | $2.40 | Обозначен |
| Операционная маржа | FY2026 Q2 | 21%–22% | 21.5% | Обозначен |
| Операционная маржа | FY2026 | 22%–23% | 22.5% | Обозначен |
| Выручка | FY2026 Q2 | $1.07B–$1.08B | $1.075B | Обозначен |
| Выручка | FY2026 | $4.3B–$4.34B | $4.32B | Обозначен |
Оценка менеджмента
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.
Оценка AI от менеджмента
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,
Инвестиции и мощности
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.
Компаниис момента звонка
Клиенты
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.
Доказательства
“This quarter included new land deals with two of the world's biggest AI research teams, helping them improve and optimize their training workflows.”
Цепочка поставок
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.
Доказательства
“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”
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.
Доказательства
“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.”
Альфа цепочки поставок · 3с момента звонка
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.
Доказательства
“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.
Доказательства
“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…”
Методология и полнота
Анализ основан только на заявлениях менеджмента. Показаны все подтверждённые упоминания компаний: 8. Фактические результаты и прогнозы разделены. Публичные доказательства ограничены восемью короткими атрибутированными цитатами. AI-анализ может быть неполным или ошибочным — проверяйте важные утверждения по первоисточнику.