PagerDuty (NYSE:PD) Issues Q1 2026 Earnings Guidance

PagerDuty (NYSE:PDGet Free Report) issued an update on its first quarter 2026 earnings guidance on Thursday morning. The company provided earnings per share guidance of 0.180-0.190 for the period, compared to the consensus earnings per share estimate of 0.190. The company issued revenue guidance of $118.0 million-$120.0 million, compared to the consensus revenue estimate of $121.0 million. PagerDuty also updated its FY 2026 guidance to 0.900-0.950 EPS.

PagerDuty Trading Down 4.2 %

Shares of NYSE:PD traded down $0.69 during trading on Thursday, hitting $15.56. The company had a trading volume of 2,078,436 shares, compared to its average volume of 1,039,332. The stock has a market cap of $1.40 billion, a price-to-earnings ratio of -19.45 and a beta of 1.12. The company has a debt-to-equity ratio of 3.52, a current ratio of 1.97 and a quick ratio of 1.97. The company has a fifty day simple moving average of $18.29 and a two-hundred day simple moving average of $18.72. PagerDuty has a one year low of $15.50 and a one year high of $23.85.

PagerDuty (NYSE:PDGet Free Report) last posted its quarterly earnings results on Thursday, March 13th. The company reported $0.22 EPS for the quarter, topping analysts’ consensus estimates of $0.16 by $0.06. PagerDuty had a negative net margin of 16.29% and a negative return on equity of 22.02%. The firm had revenue of $121.45 million for the quarter, compared to analysts’ expectations of $119.53 million. During the same period in the prior year, the business posted $0.17 earnings per share. The business’s revenue for the quarter was up 9.3% on a year-over-year basis. As a group, equities analysts forecast that PagerDuty will post -0.27 earnings per share for the current year.

Analysts Set New Price Targets

Several research firms have issued reports on PD. Bank of America lowered PagerDuty from a “buy” rating to an “underperform” rating and cut their target price for the company from $23.00 to $18.00 in a research note on Thursday, January 30th. JPMorgan Chase & Co. reaffirmed an “underweight” rating and issued a $21.00 price target on shares of PagerDuty in a report on Wednesday, December 11th. Finally, Royal Bank of Canada increased their price objective on PagerDuty from $22.00 to $24.00 and gave the company an “outperform” rating in a report on Wednesday, November 27th. Two equities research analysts have rated the stock with a sell rating, five have given a hold rating and four have given a buy rating to the company. According to data from MarketBeat, the stock has a consensus rating of “Hold” and a consensus price target of $21.64.

View Our Latest Report on PD

Insider Buying and Selling

In related news, CEO Jennifer Tejada sold 1,569 shares of the business’s stock in a transaction on Tuesday, January 28th. The shares were sold at an average price of $20.00, for a total transaction of $31,380.00. Following the completion of the transaction, the chief executive officer now directly owns 868,311 shares in the company, valued at $17,366,220. The trade was a 0.18 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which is available at this hyperlink. Also, insider Shelley Webb sold 7,879 shares of the stock in a transaction dated Monday, January 6th. The stock was sold at an average price of $18.19, for a total value of $143,319.01. Following the sale, the insider now directly owns 199,122 shares in the company, valued at $3,622,029.18. This represents a 3.81 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders sold 10,048 shares of company stock valued at $186,699 over the last quarter. 7.60% of the stock is currently owned by company insiders.

About PagerDuty

(Get Free Report)

PagerDuty, Inc engages in the operation of a digital operations management platform in the United States and internationally. The company’s digital operations management platform collects data and digital signals from virtually any software-enabled system or device and leverage machine learning to correlate, process, and predict opportunities and issues.

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