Datadog (NASDAQ:DDOG) Releases Q1 2025 Earnings Guidance

Datadog (NASDAQ:DDOGGet Free Report) updated its first quarter 2025 earnings guidance on Thursday. The company provided earnings per share (EPS) guidance of 0.410-0.430 for the period, compared to the consensus 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.

Datadog Price Performance

NASDAQ:DDOG opened at $135.89 on Friday. The firm has a market capitalization of $46.16 billion, a P/E ratio of 256.40, a PEG ratio of 16.83 and a beta of 1.15. Datadog has a one year low of $98.80 and a one year high of $170.08. The company’s 50-day simple moving average is $146.40 and its 200 day simple moving average is $130.89.

Datadog (NASDAQ:DDOGGet Free Report) last released its earnings results on Thursday, February 13th. The company reported $0.13 earnings per share (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 expect that Datadog will post 0.53 earnings per share for the current fiscal year.

Wall Street Analyst Weigh In

A number of research firms have recently commented on DDOG. Stifel Nicolaus cut Datadog from a “buy” rating to a “hold” rating and cut their target price for the stock from $165.00 to $140.00 in a research note on Wednesday, January 29th. Robert W. Baird increased their price objective on shares of Datadog from $140.00 to $150.00 and gave the company an “outperform” rating in a research report on Friday, November 8th. Monness Crespi & Hardt raised shares of Datadog from a “neutral” rating to a “buy” rating and set a $155.00 target price for the company in a report on Thursday, November 7th. Sanford C. Bernstein cut their price target on shares of Datadog from $157.00 to $151.00 and set an “outperform” rating on the stock in a report on Monday, October 21st. Finally, DA Davidson raised their price target on shares of Datadog from $150.00 to $165.00 and gave the company a “buy” rating in a research report on Monday. One research analyst has rated the stock with a sell rating, six have given a hold rating, twenty-four have assigned a buy rating and two have issued a strong buy rating to the company’s stock. According to MarketBeat.com, the company presently has an average rating of “Moderate Buy” and an average target price of $158.17.

Read Our Latest Research Report on Datadog

Insiders Place Their Bets

In other Datadog news, CTO Alexis Le-Quoc sold 127,105 shares of the company’s stock in a transaction that occurred on Wednesday, January 8th. The shares were sold at an average price of $141.21, for a total value of $17,948,497.05. Following the completion of the transaction, the chief technology officer now directly owns 324,778 shares in the company, valued at $45,861,901.38. This represents a 28.13 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which is available through this hyperlink. Also, CEO Olivier Pomel sold 178,723 shares of the firm’s 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 sale, the chief executive officer now owns 379,693 shares in the company, valued at $61,236,887.04. The trade was a 32.01 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders sold a total of 627,586 shares of company stock worth $92,540,479 over the last quarter. 11.78% of the stock is currently owned by corporate insiders.

Datadog Company Profile

(Get Free Report)

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.

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