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FY2025 Q4
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Отчётный звонок Datadog, Inc.
Вывод Buzzberg
Core business ex-AI accelerated to 23% growth in Q4
Datadog's Q4 2025 earnings call revealed a strong quarter, with revenue of $953M (+29% YoY), beating guidance. The call highlighted an acceleration in the core business (excluding the largest AI-native customer), which grew 23% YoY (up from 20% in Q3), offsetting a deceleration in the largest AI customer. Management provided bullish FY26 guidance, expecting the core business to grow at least 20% and total revenue to grow 18-20%, signaling durable demand beyond the AI-native cohort. Record Q4 bookings of $1.63B, up 37% YoY, with a notable eight-figure new logo land with a major AI financial model company.
Вывод Buzzberg Core business ex-AI accelerated to 23% growth in Q4 Datadog's Q4 2025 earnings call revealed a strong quarter, with revenue of $953M (+29% YoY), beating guidance. The call highlighted an acceleration in the core business (excluding the largest AI-native customer), which grew 23% YoY (up from 20% in Q3), offsetting a deceleration in the largest AI customer. Management provided bullish FY26 guidance, expecting the core business to grow at least 20% and total revenue to grow 18-20%, signaling durable demand beyond the AI-native cohort. Record Q4 bookings of $1.63B, up 37% YoY, with a notable eight-figure new logo land with a major AI financial model company. Читать полный анализСвернуть анализ
Datadog's Q4 2025 earnings call revealed a strong quarter, with revenue of $953M (+29% YoY), beating guidance. The call highlighted an acceleration in the core business (excluding the largest AI-native customer), which grew 23% YoY (up from 20% in Q3), offsetting a deceleration in the largest AI customer. Management provided bullish FY26 guidance, expecting the core business to grow at least 20% and total revenue to grow 18-20%, signaling durable demand beyond the AI-native cohort. Record Q4 bookings of $1.63B, up 37% YoY, with a notable eight-figure new logo land with a major AI financial model company.
- Company signed 18 deals over $10M in TCV, including two over $100M, showing strength in high-value contracts.
- Management's bullish tone is driven by the re-acceleration of the core (non-AI) business, which is expected to grow at least 20% in FY2026.
- Strong product adoption continues, with 18% of customers using 8+ products and significant traction in newer areas like LLM observability and Bits.ai agents.
Выручка$0.9532BФакт
EPS$0.59Факт
Валовая маржа80.39%Факт
Операционная маржа0.84%Факт
6 подтверждённых тезисов
Что важно сейчас
Самые значимые изменения по итогам звонка.
Product
Three core pillars each surpassed $1B ARR
AI
AI-native cohort shows strong growth and scale
Показать ещё 3 тезиса
Demand
Record Q4 bookings up 37% with large deals
Guidance
2026 guidance implies 18-20% growth, core at least 20%
Product
APM/DEM accelerating to mid-30s percent growth
Отчётный период
Фактические результаты
| Показатель | Факт | Изменение |
|---|---|---|
| Выручка | $0.9532B | Факт |
| EPS | $0.59 | Факт |
| Валовая маржа | 80.39% | Факт |
| Операционная маржа | 0.84% | Факт |
| Свободный денежный поток | $0.3182B | Факт |
| Капзатраты | $0.0089B | Факт |
Прогнозные данные
Прогноз компании
| Показатель | Период | Диапазон | Середина | Статус |
|---|---|---|---|---|
| EPS | FY2026 | $2.08–$2.16 | $2.12 | Обозначен |
| EPS | FY2026 Q1 | $0.49–$0.51 | $0.50 | Обозначен |
| Операционная маржа | FY2026 | 21% | 21% | Обозначен |
| Операционная маржа | FY2026 Q1 | 21% | 21% | Обозначен |
| Выручка | FY2026 | $4.06B–$4.1B | $4.08B | Обозначен |
| Выручка | FY2026 Q1 | $0.951B–$0.961B | $0.956B | Обозначен |
AI, капзатраты и спрос
Оценка менеджмента
Upbeat and Confident
Management highlighted record bookings, strong customer wins, acceleration in the core business, and expressed optimism about 2026 with AI as a growth driver.
Оценка AI от менеджмента
Management emphasized AI as both an accelerant and a strategic focus: they are integrating AI into the Datadog platform (e.g., Bits.ai agents, MCP server) and building products to observe and secure customers' AI stacks (e.g., LLM observability). They see AI increasing complexity and volume, driving demand for observability, and are seeing high growth among AI-native customers, including record de
Инвестиции и мощности
Management did not provide specific capex guidance for their own spend but noted that hyperscaler capex (e.g., $500B+ combined) signals a large increase in system complexity and reach, which they view as beneficial to their business. They did mention that their own capital expenditures and capitalized software are expected to be 4-5% of revenue in fiscal 2026.
все упомянутые компании ниже: 5
Компаниис момента звонка
Клиенты
DATABRICKS
Клиенты
Olivier Pommel
Management discusses high growth within the AI-native customer group, which may include Databricks, indicating their platform is being adopted by leading AI companies.
Доказательства
“we continue to see very high growth within this AI-native customer group”
STRIPE
Клиенты
Olivier Pommel
Management highlights a significant expansion with a leading fintech company, indicating a large customer win and strengthening its position in the financial sector.
Доказательства
“an eight-figure annualized expansion with a leading e-commerce and digital payments platform.”
XAI.PVT
Клиенты
Olivier Pommel
Management discusses high growth within the AI-native customer group, which may include xAI, indicating their platform is being adopted by leading AI companies.
Доказательства
“continue to see very high growth within this AI-native customer group”
Конкуренты
ANTHROPIC
Конкуренты
Olivier Pommel
Management references Anthropic's frontier models as a driver of complexity and volume in the market, framing them as accelerants for observability demand rather than direct threats.
Доказательства
“some of the advancements when it comes to agentic frameworks, agentic deployments, the stuff that we've seen from Anthropic and new frontier models from OpenAI”
OPENAI
Конкуренты
Olivier Pommel
Management references OpenAI's frontier models as a driver of complexity and volume in the market, framing them as accelerants for observability demand rather than direct threats.
Доказательства
“the stuff that we've seen from Anthropic and new frontier models from OpenAI”
Внешние сигналы
Альфа цепочки поставок · 5с момента звонка
The core business (excluding the largest AI-native customer) is accelerating: revenue growth increased from 20% in Q3 to 23% in Q4, and the company expects this segment to grow at least 20% in FY2026.
Доказательства
“Revenue growth accelerated with our broad base of customers, excluding the AI natives, to 23% year-over-year, up from 20% in Q3. We have seen this trend of accelerated revenue growth continue in January.”
The latest eight-figure new logo land with a major AI financial model company was a consolidation of more than five tools, showing that AI-native customers are consolidating on Datadog for its platform, not adopting it as a point tool.
Доказательства
“This is a consolidation of more than five open source, commercial, hyperscaler, and in-house observability tools into the unified Datadog platform.”
The growth in the AI-native customer cohort is diversifying. The company now has about 650 AI-native customers, and 19 are spending over $1M annually. This is moving away from a 'one big customer' concentration risk story.
The largest AI customer is decelerating, and management is explicitly guiding the core business to grow faster than the overall company, highlighting that the overall growth rate is being dragged down by this one customer's consumption model.
The 'run without limits' feature for Digital Experience Monitoring (DEM) is a strategic move to capture more volume and address potential customer concerns about cost, potentially creating a price-per-value differentiator.
Методология и полнота
Анализ основан только на заявлениях менеджмента. Показаны все подтверждённые упоминания компаний: 5. Фактические результаты и прогнозы разделены. Публичные доказательства ограничены восемью короткими атрибутированными цитатами. AI-анализ может быть неполным или ошибочным — проверяйте важные утверждения по первоисточнику.