Datadog (NASDAQ:DDOG) Issues FY 2025 Earnings Guidance

Datadog (NASDAQ:DDOG) updated its FY 2025 earnings guidance on Thursday. The company provided EPS guidance of 1.650-1.700 for the period, compared to the consensus EPS 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.

Analysts Set New Price Targets

DDOG has been the topic of several research reports. Robert W. Baird boosted their price target on Datadog from $140.00 to $150.00 and gave the stock an “outperform” rating in a report on Friday, November 8th. Citigroup boosted their target price on shares of Datadog from $157.00 to $170.00 and gave the stock a “buy” rating in a report on Friday, January 17th. Wedbush upgraded shares of Datadog from a “buy” rating to a “strong-buy” rating in a research report on Thursday, October 17th. Morgan Stanley reiterated an “equal weight” rating and set a $143.00 price target on shares of Datadog in a report on Thursday, January 16th. Finally, Scotiabank decreased their price objective on Datadog from $135.00 to $133.00 and set a “sector outperform” rating for the company in a report on Friday, November 8th. One equities research analyst has rated the stock with a sell rating, five have issued a hold rating, twenty-five have given a buy rating and two have given a strong buy rating to the company. According to MarketBeat.com, the company currently has an average rating of “Moderate Buy” and a consensus target price of $158.52.

Datadog Trading Down 8.1 %

Datadog stock traded down $11.99 during midday trading 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 company has a fifty day moving average price of $146.40 and a two-hundred day moving average price of $130.89. The company has a market capitalization of $46.24 billion, a P/E ratio of 255.73, a PEG ratio of 16.83 and a beta of 1.15. Datadog has a 12 month low of $98.80 and a 12 month high of $170.08.

Datadog (NASDAQ:DDOG) last released its quarterly earnings data on Thursday, February 13th. The company reported $0.13 EPS 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 research analysts predict that Datadog will post 0.53 earnings per share for the current fiscal year.

Insiders Place Their Bets

In other Datadog news, CEO Olivier Pomel sold 178,723 shares of Datadog stock in a transaction on Monday, December 9th. The shares were sold at an average price of $161.28, for a total transaction of $28,824,445.44. Following the transaction, the chief executive officer now directly owns 379,693 shares of the company’s stock, valued at $61,236,887.04. The trade was a 32.01 % decrease in their position. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is available through the SEC website. Also, General Counsel Kerry Acocella sold 2,488 shares of the stock in a transaction dated Wednesday, December 4th. The shares were sold at an average price of $158.04, for a total transaction of $393,203.52. Following the completion of the sale, the general counsel now owns 68,758 shares of the company’s stock, valued at approximately $10,866,514.32. This represents a 3.49 % decrease in their position. The disclosure for this sale can be found here. In the last ninety days, insiders sold 777,586 shares of company stock valued at $111,444,979. Corporate insiders own 11.78% of the company’s stock.

Datadog Company Profile

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.