PagerDuty (NYSE:PD) Issues Q1 Earnings Guidance

PagerDuty (NYSE:PDGet Free Report) issued an update on its first quarter earnings guidance on Thursday morning. The company provided earnings per share (EPS) guidance of $0.18-0.19 for the period, compared to the consensus estimate of $0.19. The company issued revenue guidance of $118-120 million, compared to the consensus revenue estimate of $121.20 million. PagerDuty also updated its FY 2026 guidance to 0.900-0.950 EPS.

Analyst Ratings Changes

A number of research analysts have recently weighed in on the company. Royal Bank of Canada lifted their price target on PagerDuty from $22.00 to $24.00 and gave the company an “outperform” rating in a report on Wednesday, November 27th. JPMorgan Chase & Co. restated an “underweight” rating and set a $21.00 price objective on shares of PagerDuty in a research report on Wednesday, December 11th. Finally, Bank of America downgraded PagerDuty from a “buy” rating to an “underperform” rating and dropped their target price for the company from $23.00 to $18.00 in a report on Thursday, January 30th. Two investment analysts have rated the stock with a sell rating, five have assigned a hold rating and four have given a buy rating to the company’s stock. Based on data from MarketBeat, the stock presently has a consensus rating of “Hold” and a consensus price target of $21.64.

Get Our Latest Stock Analysis on PD

PagerDuty Stock Down 4.2 %

Shares of PD traded down $0.69 during mid-day trading on Thursday, hitting $15.56. 2,085,853 shares of the company’s stock were exchanged, compared to its average volume of 1,039,476. The company has a quick ratio of 1.97, a current ratio of 1.97 and a debt-to-equity ratio of 3.52. PagerDuty has a twelve month low of $15.50 and a twelve month high of $23.85. The firm has a fifty day moving average of $18.29 and a two-hundred day moving average of $18.72. The stock has a market cap of $1.40 billion, a price-to-earnings ratio of -19.45 and a beta of 1.12.

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

Insiders Place Their Bets

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 transaction, the chief executive officer now owns 868,311 shares of the company’s stock, valued at approximately $17,366,220. The trade was a 0.18 % decrease in their ownership of the stock. The sale was disclosed in a legal filing with the SEC, which is available through this hyperlink. Also, insider Shelley Webb sold 7,879 shares of the firm’s stock in a transaction on Monday, January 6th. The stock was sold at an average price of $18.19, for a total transaction of $143,319.01. Following the completion of the sale, the insider now 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 a total of 10,048 shares of company stock valued at $186,699 in the last quarter. Insiders own 7.60% of the company’s stock.

PagerDuty Company Profile

(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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