Datadog is up 14% as growth accelerates. Is the worst over?

Datadog is up 14% as growth accelerates. Is the worst over?

Data hound (DDOG) shares rose nearly 14% on Tuesday after the company delivered strong fourth-quarter results, highlighting accelerating revenue growth, record bookings and robust profits among large enterprise customers. The AI-powered observation platform also introduced new artificial intelligence (AI)-based tools to improve monitoring and insights.

With shares still down about 5% in value through 2026 and roughly 35% below their November high, investors are wondering whether this momentum represents a real turnaround or whether caution is still warranted. While the rally reflects renewed optimism about Datadog’s ability to capitalize on the AI ​​and cloud-native boom, questions remain about its sustainability given the cloud-based observability stock’s conservative outlook.

Strong results and growing platform adoption

Datadog reported fourth-quarter revenue of $953 million, up 29% year over year – the fastest growth in recent quarters – thanks to record bookings of $1.63 billion, up 37%. Momentum among large customers was particularly impressive, with 603 customers generating over $1 million in annual recurring revenue (ARR), up 31%, and 4,310 customers with ARR over $100,000 (up 19%), accounting for the vast majority of total ARR. The company ended the year with a total of approximately 32,700 customers.

The company operates a global security and observability platform for cloud applications with products that include log management, database monitoring, digital experience monitoring, data observability and more.

Observability products refer to integrated software platforms that provide real-time visibility into complex cloud environments, applications, infrastructure, logs, traces, and security postures. Unlike traditional monitoring, modern observation – increasingly powered by AI – enables proactive problem detection, performance optimization, and faster root cause analysis across distributed systems.

A key driver of Datadog’s persistence is increasing multi-product adoption: 33% of customers now use six or more modules – a sharp increase from 26% a year ago – with 55% using four or more and 84% using two or more. This land-and-expand strategy creates a highly integrated ecosystem that is difficult for customers to unwind, supporting higher lifetime value and retention.

The company is also throwing away significant cash, generating $915 million in free cash flow for the full year 2025 thanks to strong operating leverage.

Conservative outlook tied to largest customer

Despite the setback, expectations for first-quarter revenue of $951 million to $961 million, or 25% to 26% growth, and full-year 2026 revenue of $4.06 billion to $4.10 billion, implying roughly 18% to $19% growth, were relatively conservative compared to recent momentum.
Management explicitly noted that the core business (excluding the largest customer, part of an AI-native cohort) is forecast to grow by at least 20%, highlighting concentration risk as a factor in the measured tone. This suggests that the top customer – likely an AI hyperscaler or a large cloud consumer – contributes a meaningful mid-to-low double-digit percentage of revenue, enough to temper expectations as usage patterns normalize or change.

In short

While Datadog sees accelerating growth and platform expansion in key areas, risks remain in its still-high valuation – even after the recent decline – and meaningful customer concentration at its largest account.

DDOG is not a stock to buy aggressively at this point, but establishing a small stake to gain some edge ahead of a possible recovery seems justified for patient growth-oriented investors.

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