Datadog Stock Rockets 40%: Is It Still a Buy After Earnings?

Datadog, a leading cloud observability platform, reported stellar first-quarter earnings on May 7th. The company's revenue of $1 billion smashed its own forecast, growing 32% year-over-year and marking a second consecutive quarter of accelerating growth.

Management significantly raised its full-year revenue guidance, boosting the midpoint from $4.08 billion to $4.32 billion. This positive surprise sent the stock soaring 40% to a record high.

The core driver of this performance is Datadog's successful expansion into AI. The company has launched specialized tools like LLM Observability and GPU Monitoring to help businesses develop and deploy AI software efficiently.

Customer adoption is exploding. By the end of Q1, 6,500 of Datadog's 33,200 customers were using at least one AI integration, a 62% jump from a year ago. Usage metrics, like Model Context Protocol server calls, quadrupled from just the previous quarter.

Profitability also improved dramatically, with GAAP net income more than doubling and adjusted profit climbing 30%, signaling the company is finding a healthy balance between growth and earnings.

This report matters because it confirms Datadog's successful pivot to capitalize on the AI boom, transforming it from a general infrastructure monitor into a critical tool for AI development. This expands its revenue potential within its existing large customer base.

The stock's dramatic rise reflects investor confidence in this new growth vector. However, success has made the stock expensive. Datadog now trades at a price-to-sales ratio of 20, above its three-year average of 16.8 and higher than many cloud and AI software peers like Microsoft and Snowflake.

Wall Street remains overwhelmingly bullish, with 40 of 50 analysts tracked by The Wall Street Journal rating it a Buy. The average price target of $223.30 implies about 10% further upside, though some see a 58% gain if execution continues.

The high valuation means investors likely need to commit to a long-term holding period of at least three years to allow the company's growth to justify the current price. Short-term volatility is possible if growth shows any signs of slowing.

For the broader market, Datadog's success is a strong signal of robust enterprise spending on AI infrastructure and tools, which could benefit the entire cloud and semiconductor ecosystem.