Datadog (NASDAQ:DDOG) Issues Q1 2025 Earnings Guidance

Datadog (NASDAQ:DDOG) updated its first quarter 2025 earnings guidance on Thursday. The company provided EPS guidance of 0.410-0.430 for the period, compared to the consensus EPS estimate of 0.450. The company issued revenue guidance of $737.0 million-$741.0 million, compared to the consensus revenue estimate of $739.9 million. Datadog also updated its FY 2025 guidance to 1.650-1.700 EPS.

Analyst Ratings Changes

Several equities analysts have commented on the stock. Jefferies Financial Group raised their price target on shares of Datadog from $155.00 to $170.00 and gave the company a “buy” rating in a research report on Monday, January 6th. Cantor Fitzgerald started coverage on Datadog in a report on Friday, January 17th. They issued an “overweight” rating and a $180.00 target price for the company. Mizuho upped their price target on Datadog from $155.00 to $170.00 and gave the stock an “outperform” rating in a report on Friday, December 13th. Stifel Nicolaus cut Datadog from a “buy” rating to a “hold” rating and decreased their price objective for the company from $165.00 to $140.00 in a research note on Wednesday, January 29th. Finally, Truist Financial downgraded Datadog from a “buy” rating to a “hold” rating and lowered their price objective for the stock from $170.00 to $150.00 in a research report on Tuesday, January 7th. One equities research analyst has rated the stock with a sell rating, five have given a hold rating, twenty-five have assigned a buy rating and two have issued a strong buy rating to the company’s stock. According to data from MarketBeat, the stock presently has an average rating of “Moderate Buy” and an average price target of $158.52.

Datadog Trading Down 8.1 %

Shares of NASDAQ DDOG traded down $11.99 during trading hours on Thursday, reaching $136.10. The stock had a trading volume of 11,148,805 shares, compared to its average volume of 4,534,243. The firm has a 50-day moving average of $146.40 and a 200-day moving average of $130.89. The firm has a market cap of $46.24 billion, a price-to-earnings ratio of 255.73, a PEG ratio of 16.83 and a beta of 1.15. Datadog has a fifty-two week low of $98.80 and a fifty-two week high of $170.08.

Datadog (NASDAQ:DDOG) last posted its quarterly earnings data on Thursday, February 13th. The company reported $0.13 earnings per share for the quarter, missing the consensus estimate of $0.44 by ($0.31). Datadog had a net margin of 7.58% and a return on equity of 9.41%. On average, equities analysts predict that Datadog will post 0.53 EPS for the current year.

Insiders Place Their Bets

In other Datadog news, CEO Olivier Pomel sold 178,723 shares of the stock in a transaction that occurred on Monday, December 9th. The stock was sold at an average price of $161.28, for a total transaction of $28,824,445.44. Following the completion of the sale, the chief executive officer now directly owns 379,693 shares of the company’s stock, valued at approximately $61,236,887.04. This trade represents a 32.01 % decrease in their position. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through the SEC website. Also, President Amit Agarwal sold 150,000 shares of the business’s stock in a transaction that occurred on Friday, November 15th. The shares were sold at an average price of $126.03, for a total value of $18,904,500.00. Following the completion of the transaction, the president now directly owns 214,275 shares in the company, valued at approximately $27,005,078.25. The trade was a 41.18 % decrease in their position. The disclosure for this sale can be found here. In the last three months, insiders have sold 777,586 shares of company stock valued at $111,444,979. Insiders own 11.78% of the company’s stock.

About Datadog

Datadog, Inc operates an observability and security platform for cloud applications in North America and internationally. The company's products comprise infrastructure and application performance monitoring, log management, digital experience monitoring, continuous profiler, database monitoring, data streams and universal service monitoring, network monitoring, incident management, workflow automation, observability pipelines, cloud cost and cloud security management, application security management, cloud SIEM, sensitive data scanner, and CI visibility.