Datadog (NASDAQ:DDOG) Issues FY 2025 Earnings Guidance

Datadog (NASDAQ:DDOG) issued an update on its FY 2025 earnings guidance on Thursday morning. The company provided earnings per share guidance of 1.650-1.700 for the period, compared to the consensus earnings per share estimate of 1.980. The company issued revenue guidance of $3.2 billion-$3.2 billion, compared to the consensus revenue estimate of $3.2 billion. Datadog also updated its Q1 2025 guidance to 0.410-0.430 EPS.

Wall Street Analyst Weigh In

Several equities research analysts have recently issued reports on the company. Citigroup raised their target price on Datadog from $157.00 to $170.00 and gave the company a “buy” rating in a research report on Friday, January 17th. Cantor Fitzgerald began coverage on shares of Datadog in a report on Friday, January 17th. They set an “overweight” rating and a $180.00 price objective for the company. Scotiabank reduced their target price on shares of Datadog from $135.00 to $133.00 and set a “sector outperform” rating for the company in a research report on Friday, November 8th. DA Davidson raised their price target on shares of Datadog from $150.00 to $165.00 and gave the stock a “buy” rating in a research note on Monday. Finally, Royal Bank of Canada upped their price objective on Datadog from $151.00 to $170.00 and gave the company an “outperform” rating in a research note on Friday, January 3rd. One research analyst has rated the stock with a sell rating, five have given a hold rating, twenty-five have issued a buy rating and two have issued a strong buy rating to the stock. Based on data from MarketBeat.com, the stock presently has a consensus rating of “Moderate Buy” and a consensus target price of $158.52.

Datadog Stock Performance

Datadog stock traded down $11.99 during midday trading on Thursday, hitting $136.10. 11,148,805 shares of the company’s stock were exchanged, compared to its average volume of 4,534,243. The company has a market cap of $46.24 billion, a P/E ratio of 255.73, a PEG ratio of 16.83 and a beta of 1.15. The stock has a 50-day moving average price of $146.40 and a two-hundred day moving average price of $130.89. Datadog has a 52-week low of $98.80 and a 52-week high of $170.08.

Datadog (NASDAQ:DDOG) last issued its quarterly earnings results on Thursday, February 13th. The company reported $0.13 earnings per share (EPS) for the quarter, missing analysts’ consensus estimates of $0.44 by ($0.31). Datadog had a net margin of 7.58% and a return on equity of 9.41%. As a group, sell-side analysts expect that Datadog will post 0.53 earnings per share for the current year.

Insider Transactions at Datadog

In other news, President Amit Agarwal sold 150,000 shares of the company’s stock in a transaction dated Friday, November 15th. The stock was 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. This represents a 41.18 % decrease in their position. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this link. Also, CTO Alexis Le-Quoc sold 127,105 shares of the firm’s stock in a transaction dated Monday, February 3rd. The shares were sold at an average price of $142.78, for a total value of $18,148,051.90. Following the transaction, the chief technology officer now directly owns 324,778 shares in the company, valued at approximately $46,371,802.84. This represents a 28.13 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold 777,586 shares of company stock valued at $111,444,979 in the last quarter. 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.