PagerDuty (NYSE:PD) Updates Q1 Earnings Guidance

PagerDuty (NYSE:PDGet Free Report) updated its first quarter earnings guidance on Thursday. The company provided earnings per share guidance of $0.18-0.19 for the period, compared to the consensus earnings per share 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.

PagerDuty Price Performance

Shares of PagerDuty stock traded down $0.69 during trading on Thursday, reaching $15.56. The company’s stock had a trading volume of 2,085,853 shares, compared to its average volume of 1,039,476. PagerDuty has a one year low of $15.50 and a one year high of $23.85. The stock has a 50-day moving average price of $18.29 and a two-hundred day moving average price of $18.72. The company has a current ratio of 1.97, a quick ratio of 1.97 and a debt-to-equity ratio of 3.52. The stock has a market capitalization of $1.40 billion, a P/E ratio of -19.45 and a beta of 1.12.

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

Analyst Ratings Changes

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

Read Our Latest Stock Analysis on PagerDuty

Insiders Place Their Bets

In related news, insider Shelley Webb sold 7,879 shares of PagerDuty stock in a transaction that occurred on 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 owns 199,122 shares of the company’s stock, valued at approximately $3,622,029.18. This trade represents a 3.81 % decrease in their position. The sale was disclosed in a filing with the Securities & Exchange Commission, which can be accessed through this hyperlink. Also, CEO Jennifer Tejada sold 1,569 shares of the firm’s stock in a transaction that occurred on Tuesday, January 28th. The stock was sold at an average price of $20.00, for a total transaction of $31,380.00. Following the transaction, the chief executive officer now directly owns 868,311 shares of the company’s stock, valued at $17,366,220. This represents a 0.18 % decrease in their ownership of the stock. The disclosure for this sale can be found here. In the last three months, insiders have sold 10,048 shares of company stock worth $186,699. Company insiders own 7.60% of the company’s stock.

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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