PagerDuty (NYSE:PD – Get Free Report) is expected to be posting its quarterly earnings results after the market closes on Thursday, March 13th. Analysts expect PagerDuty to post earnings of $0.16 per share and revenue of $119.53 million for the quarter. Individual that are interested in participating in the company’s earnings conference call can do so using this link.
PagerDuty Trading Down 2.6 %
Shares of PD opened at $16.46 on Wednesday. The company has a 50 day simple moving average of $18.33 and a two-hundred day simple moving average of $18.74. PagerDuty has a 1 year low of $16.35 and a 1 year high of $24.05. The company has a debt-to-equity ratio of 3.52, a current ratio of 1.97 and a quick ratio of 1.97. The firm has a market cap of $1.48 billion, a P/E ratio of -20.57 and a beta of 1.12.
Insider Transactions at PagerDuty
In related news, insider Shelley Webb sold 7,879 shares of PagerDuty stock in a transaction dated Monday, January 6th. The stock was sold at an average price of $18.19, for a total value of $143,319.01. Following the completion of the sale, the insider now directly owns 199,122 shares in the company, valued at $3,622,029.18. The trade was a 3.81 % decrease in their ownership of the stock. The transaction was disclosed in a legal filing with the SEC, which is available through the SEC website. Also, CEO Jennifer Tejada sold 1,569 shares of PagerDuty stock in a transaction dated Tuesday, January 28th. The shares were sold at an average price of $20.00, for a total value of $31,380.00. Following the completion of the sale, the chief executive officer now owns 868,311 shares of the company’s stock, valued at $17,366,220. The trade was a 0.18 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Over the last ninety days, insiders sold 22,548 shares of company stock worth $438,199. 7.60% of the stock is currently owned by insiders.
Analyst Upgrades and Downgrades
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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