PagerDuty (NYSE:PD) Issues Q4 Earnings Guidance

PagerDuty (NYSE:PD) updated its fourth quarter earnings guidance on Tuesday. The company provided earnings per share guidance of $0.15-0.16 for the period, compared to the consensus earnings per share estimate of $0.16. The company issued revenue guidance of $118.5-120.5 million, compared to the consensus revenue estimate of $121.57 million.

Wall Street Analyst Weigh In

Several research firms have issued reports on PD. JPMorgan Chase & Co. cut their target price on PagerDuty from $21.00 to $20.00 and set a “neutral” rating for the company in a research note on Friday, October 25th. Robert W. Baird reduced their price objective on shares of PagerDuty from $22.00 to $18.00 and set a “neutral” rating on the stock in a report on Wednesday, September 4th. Scotiabank lowered their target price on shares of PagerDuty from $23.00 to $18.00 and set a “sector perform” rating for the company in a research note on Wednesday, September 4th. Royal Bank of Canada lifted their price target on shares of PagerDuty from $22.00 to $24.00 and gave the company an “outperform” rating in a research report on Wednesday. Finally, TD Cowen decreased their price objective on shares of PagerDuty from $23.00 to $19.00 and set a “hold” rating on the stock in a report on Wednesday, September 4th. Six investment analysts have rated the stock with a hold rating and five have given a buy rating to the company. Based on data from MarketBeat, PagerDuty presently has a consensus rating of “Hold” and an average price target of $22.00.

PagerDuty Stock Performance

Shares of PD stock opened at $21.01 on Thursday. The firm has a 50 day moving average of $18.75 and a two-hundred day moving average of $19.60. The stock has a market capitalization of $1.96 billion, a PE ratio of -23.61 and a beta of 1.07. The company has a quick ratio of 2.13, a current ratio of 2.13 and a debt-to-equity ratio of 2.38. PagerDuty has a 52 week low of $16.46 and a 52 week high of $26.70.

PagerDuty (NYSE:PD) last announced its quarterly earnings data on Tuesday, September 3rd. The company reported $0.21 earnings per share (EPS) for the quarter, beating the consensus estimate of $0.17 by $0.04. PagerDuty had a negative return on equity of 25.83% and a negative net margin of 18.58%. The business had revenue of $115.94 million for the quarter, compared to analysts’ expectations of $116.52 million. During the same period last year, the firm earned ($0.18) earnings per share. The company’s revenue for the quarter was up 7.7% compared to the same quarter last year. On average, research analysts predict that PagerDuty will post -0.37 EPS for the current fiscal year.

Insider Activity

In related news, CFO Howard Wilson sold 21,066 shares of the stock in a transaction on Thursday, November 7th. The stock was sold at an average price of $20.02, for a total value of $421,741.32. Following the transaction, the chief financial officer now owns 545,742 shares of the company’s stock, valued at $10,925,754.84. This represents a 3.72 % decrease in their ownership of the stock. The transaction was disclosed in a filing with the SEC, which is available through this hyperlink. Also, CAO Mitra Rezvan sold 2,942 shares of PagerDuty stock in a transaction dated Wednesday, October 9th. The stock was sold at an average price of $18.06, for a total value of $53,132.52. Following the sale, the chief accounting officer now directly owns 108,449 shares of the company’s stock, valued at $1,958,588.94. This trade represents a 2.64 % decrease in their ownership of the stock. The disclosure for this sale can be found here. In the last quarter, insiders sold 87,396 shares of company stock worth $1,733,561. 7.60% of the stock is currently owned by company insiders.

PagerDuty Company Profile

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.