PagerDuty (NYSE:PD) Releases 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.

PagerDuty Stock Performance

Shares of PD stock opened at $21.01 on Friday. The company has a current ratio of 2.13, a quick ratio of 2.13 and a debt-to-equity ratio of 2.38. PagerDuty has a fifty-two week low of $16.46 and a fifty-two week high of $26.70. The stock has a 50 day moving average price of $18.81 and a two-hundred day moving average price of $19.61.

PagerDuty (NYSE:PD) last announced its quarterly earnings results on Tuesday, September 3rd. The company reported $0.21 earnings per share for the quarter, beating the consensus estimate of $0.17 by $0.04. PagerDuty had a negative net margin of 16.29% and a negative return on equity of 20.13%. The business had revenue of $115.94 million during the quarter, compared to analysts’ expectations of $116.52 million. During the same quarter in the prior year, the company posted ($0.18) EPS. The firm’s revenue for the quarter was up 7.7% compared to the same quarter last year. As a group, research analysts forecast that PagerDuty will post -0.37 earnings per share for the current year.

Wall Street Analysts Forecast Growth

A number of equities research analysts have recently weighed in on PD shares. Royal Bank of Canada lifted their price objective on PagerDuty from $22.00 to $24.00 and gave the stock an “outperform” rating in a research report on Wednesday. TD Cowen decreased their price objective on shares of PagerDuty from $23.00 to $19.00 and set a “hold” rating for the company in a report on Wednesday, September 4th. The Goldman Sachs Group dropped their target price on shares of PagerDuty from $24.00 to $21.00 and set a “neutral” rating for the company in a research report on Wednesday, September 4th. Robert W. Baird decreased their price target on shares of PagerDuty from $22.00 to $18.00 and set a “neutral” rating for the company in a research note on Wednesday, September 4th. Finally, Morgan Stanley cut their price objective on PagerDuty from $24.00 to $19.00 and set an “equal weight” rating on the stock in a research report on Wednesday, September 4th. Six investment analysts have rated the stock with a hold rating and five have issued a buy rating to the company’s stock. According to MarketBeat.com, the company currently has an average rating of “Hold” and an average target price of $22.00.

Insider Buying and Selling

In other PagerDuty news, CEO Jennifer Tejada sold 18,750 shares of the stock in a transaction on Tuesday, November 12th. The stock was sold at an average price of $20.04, for a total transaction of $375,750.00. Following the sale, the chief executive officer now directly owns 907,631 shares in the company, valued at approximately $18,188,925.24. This trade represents a 2.02 % decrease in their position. The sale was disclosed in a document filed with the SEC, which is accessible through this hyperlink. Also, CAO Mitra Rezvan sold 2,942 shares of the business’s stock in a transaction on Wednesday, October 9th. The stock was sold at an average price of $18.06, for a total value of $53,132.52. Following the completion of the transaction, the chief accounting officer now owns 108,449 shares of the company’s stock, valued at $1,958,588.94. This represents a 2.64 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold a total of 87,396 shares of company stock worth $1,733,561 in the last quarter. Corporate insiders own 7.60% of the company’s stock.

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.