PagerDuty (NYSE:PD) Issues Q4 Earnings Guidance

PagerDuty (NYSE:PD) updated its fourth quarter earnings guidance on Tuesday. The company provided EPS guidance of $0.15-0.16 for the period, compared to the consensus EPS 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 Price Performance

Shares of PagerDuty stock traded up $0.26 on Tuesday, reaching $20.91. The company’s stock had a trading volume of 1,943,651 shares, compared to its average volume of 1,120,968. The company has a quick ratio of 2.13, a current ratio of 2.13 and a debt-to-equity ratio of 2.38. The company has a market capitalization of $1.95 billion, a P/E ratio of -23.30 and a beta of 1.07. The stock has a 50-day moving average price of $18.61 and a 200-day moving average price of $19.58. PagerDuty has a 52-week low of $16.46 and a 52-week high of $26.70.

PagerDuty (NYSE:PD) last issued its quarterly earnings results on Tuesday, September 3rd. The company reported $0.21 EPS for the quarter, topping the consensus estimate of $0.17 by $0.04. PagerDuty had a negative net margin of 18.58% and a negative return on equity of 25.83%. The company had revenue of $115.94 million during the quarter, compared to analyst estimates of $116.52 million. During the same quarter in the previous year, the firm earned ($0.18) EPS. The firm’s revenue was up 7.7% compared to the same quarter last year. Analysts expect that PagerDuty will post -0.37 EPS for the current year.

Wall Street Analysts Forecast Growth

PD has been the topic of a number of research analyst reports. Craig Hallum lowered their price target on PagerDuty from $30.00 to $26.00 and set a “buy” rating on the stock in a research note on Wednesday, September 4th. TD Cowen decreased their target price on shares of PagerDuty from $23.00 to $19.00 and set a “hold” rating on the stock in a research note on Wednesday, September 4th. Robert W. Baird lowered their price objective on PagerDuty from $22.00 to $18.00 and set a “neutral” rating on the stock in a research note on Wednesday, September 4th. Scotiabank cut their target price on PagerDuty from $23.00 to $18.00 and set a “sector perform” rating for the company in a research note on Wednesday, September 4th. Finally, Canaccord Genuity Group lowered their price target on shares of PagerDuty from $26.00 to $24.00 and set a “buy” rating on the stock in a research report on Wednesday, September 4th. Six analysts have rated the stock with a hold rating and five have assigned a buy rating to the company. According to MarketBeat, the stock has an average rating of “Hold” and an average price target of $21.82.

Insider Buying and Selling at PagerDuty

In other PagerDuty news, insider Shelley Webb sold 6,246 shares of the stock in a transaction that occurred on Wednesday, October 9th. The shares were sold at an average price of $18.12, for a total transaction of $113,177.52. Following the sale, the insider now directly owns 216,572 shares in the company, valued at $3,924,284.64. This represents a 2.80 % decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is available through this link. Also, CEO Jennifer Tejada sold 18,750 shares of the business’s 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 completion of the transaction, the chief executive officer now owns 907,631 shares of the company’s stock, valued at approximately $18,188,925.24. This trade represents a 2.02 % 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 valued at $1,733,561 over the last quarter. 7.60% of the stock is owned by company insiders.

About PagerDuty

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.