Datadog (NASDAQ:DDOG) Releases 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 (EPS) guidance of 1.650-1.700 for the period, compared to the consensus 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.

Datadog Price Performance

Shares of NASDAQ:DDOG traded down $12.99 during trading on Thursday, hitting $135.10. The company had a trading volume of 14,788,252 shares, compared to its average volume of 4,661,066. The stock has a market cap of $45.90 billion, a price-to-earnings ratio of 254.90, a price-to-earnings-growth ratio of 16.83 and a beta of 1.15. The company has a fifty day simple moving average of $146.40 and a two-hundred day simple moving average of $130.89. Datadog has a one year low of $98.80 and a one year 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 return on equity of 9.41% and a net margin of 7.58%. On average, equities research analysts anticipate that Datadog will post 0.53 earnings per share for the current year.

Analysts Set New Price Targets

Several brokerages recently commented on DDOG. Truist Financial downgraded shares of Datadog from a “buy” rating to a “hold” rating and cut their price target for the company from $170.00 to $150.00 in a report on Tuesday, January 7th. BMO Capital Markets upped their target price on Datadog from $135.00 to $145.00 and gave the company an “outperform” rating in a research note on Friday, November 8th. Sanford C. Bernstein decreased their price target on Datadog from $157.00 to $151.00 and set an “outperform” rating for the company in a research note on Monday, October 21st. Barclays upped their price objective on Datadog from $155.00 to $187.00 and gave the company an “overweight” rating in a research report on Friday, December 6th. Finally, Jefferies Financial Group increased their target price on Datadog from $155.00 to $170.00 and gave the stock a “buy” rating in a research note on Monday, January 6th. One research analyst has rated the stock with a sell rating, five have issued a hold rating, twenty-five have issued a buy rating and two have given a strong buy rating to the company. According to MarketBeat.com, the stock presently has a consensus rating of “Moderate Buy” and an average target price of $158.52.

Insiders Place Their Bets

In other Datadog news, President Amit Agarwal sold 150,000 shares of the firm’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 transaction of $18,904,500.00. Following the completion of the transaction, the president now directly owns 214,275 shares of the company’s stock, valued at approximately $27,005,078.25. This trade represents a 41.18 % decrease in their position. The transaction was disclosed in a filing with the SEC, which can be accessed through this link. Also, CTO Alexis Le-Quoc sold 127,105 shares of Datadog 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 owns 324,778 shares of the company’s stock, valued at $46,371,802.84. The trade was a 28.13 % decrease in their position. The disclosure for this sale can be found here. Over the last three months, insiders have sold 777,586 shares of company stock valued at $111,444,979. 11.78% of the stock is currently owned by insiders.

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.