PagerDuty, Inc. (NYSE:PD – Get Free Report) CEO Jennifer Tejada sold 38,392 shares of the company’s stock in a transaction on Thursday, November 7th. The stock was sold at an average price of $20.05, for a total transaction of $769,759.60. Following the completion of the sale, the chief executive officer now owns 907,631 shares of the company’s stock, valued at $18,198,001.55. This represents a 0.00 % decrease in their ownership of the stock. The sale was disclosed in a filing with the SEC, which is available through the SEC website.
Jennifer Tejada also recently made the following trade(s):
- On Friday, August 23rd, Jennifer Tejada sold 18,750 shares of PagerDuty stock. The stock was sold at an average price of $20.09, for a total transaction of $376,687.50.
PagerDuty Stock Up 1.6 %
Shares of PD opened at $20.04 on Thursday. The company has a 50-day simple moving average of $18.31 and a 200-day simple moving average of $19.63. The firm has a market capitalization of $1.86 billion, a P/E ratio of -22.67 and a beta of 1.07. The company has a debt-to-equity ratio of 2.38, a quick ratio of 2.13 and a current ratio of 2.13. PagerDuty, Inc. has a 52 week low of $16.46 and a 52 week high of $26.70.
Institutional Inflows and Outflows
A number of large investors have recently made changes to their positions in the stock. First Horizon Advisors Inc. raised its position in shares of PagerDuty by 28.0% during the second quarter. First Horizon Advisors Inc. now owns 2,323 shares of the company’s stock valued at $53,000 after buying an additional 508 shares during the last quarter. Envestnet Asset Management Inc. raised its position in PagerDuty by 0.4% in the second quarter. Envestnet Asset Management Inc. now owns 123,247 shares of the company’s stock worth $2,826,000 after purchasing an additional 542 shares in the last quarter. Arizona State Retirement System raised its position in PagerDuty by 2.8% in the second quarter. Arizona State Retirement System now owns 24,667 shares of the company’s stock worth $566,000 after purchasing an additional 676 shares in the last quarter. Mackenzie Financial Corp raised its position in PagerDuty by 5.1% in the second quarter. Mackenzie Financial Corp now owns 17,735 shares of the company’s stock worth $407,000 after purchasing an additional 856 shares in the last quarter. Finally, CWM LLC raised its position in PagerDuty by 7.2% in the second quarter. CWM LLC now owns 12,982 shares of the company’s stock worth $298,000 after purchasing an additional 868 shares in the last quarter. Institutional investors and hedge funds own 97.26% of the company’s stock.
Wall Street Analysts Forecast Growth
PD has been the subject of a number of recent research reports. Bank of America decreased their price objective on shares of PagerDuty from $28.00 to $23.00 and set a “buy” rating for the company in a report on Wednesday, September 4th. 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 decreased their price objective on shares of PagerDuty from $24.00 to $21.00 and set a “neutral” rating for the company in a report on Wednesday, September 4th. JPMorgan Chase & Co. decreased their price target on shares of PagerDuty from $21.00 to $20.00 and set a “neutral” rating for the company in a report on Friday, October 25th. Finally, Canaccord Genuity Group decreased their price target on shares of PagerDuty from $26.00 to $24.00 and set a “buy” rating for the company in a report on Wednesday, September 4th. Six research analysts have rated the stock with a hold rating and five have assigned a buy rating to the stock. According to data from MarketBeat, the stock has a consensus rating of “Hold” and a consensus price target of $21.82.
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.
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