PagerDuty (NYSE:PD – Get Free Report) is expected to be issuing its quarterly earnings data after the market closes on Thursday, March 13th. Analysts expect the company to announce earnings of $0.16 per share and revenue of $119.53 million for the quarter. Parties that wish to listen to the company’s conference call can do so using this link.
PagerDuty Trading Up 1.2 %
Shares of PD opened at $17.71 on Thursday. PagerDuty has a 12-month low of $16.46 and a 12-month high of $25.10. The company has a quick ratio of 1.97, a current ratio of 1.97 and a debt-to-equity ratio of 3.52. The firm has a market capitalization of $1.60 billion, a price-to-earnings ratio of -22.13 and a beta of 1.12. The stock’s 50-day moving average price is $18.41 and its 200 day moving average price is $18.81.
Insider Buying and Selling at PagerDuty
In related news, insider Shelley Webb sold 7,879 shares of the stock in a transaction that occurred on Monday, January 6th. The shares were sold at an average price of $18.19, for a total transaction of $143,319.01. Following the sale, the insider now owns 199,122 shares in the company, valued at approximately $3,622,029.18. This trade represents a 3.81 % decrease in their position. The transaction was disclosed in a legal filing with the SEC, which is accessible through this link. Also, CEO Jennifer Tejada sold 1,569 shares of the 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 sale, the chief executive officer now owns 868,311 shares in the company, valued at $17,366,220. This represents a 0.18 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold a total of 22,548 shares of company stock valued at $438,199 in the last three months. 7.60% of the stock is currently owned by company insiders.
Analysts Set New Price Targets
Get Our Latest Analysis on PagerDuty
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.
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