Insider Selling: PagerDuty, Inc. (NYSE:PD) CEO Sells 1,569 Shares of Stock

PagerDuty, Inc. (NYSE:PD) CEO Jennifer Tejada sold 1,569 shares of the company’s stock in a transaction on 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 transaction, the chief executive officer now directly owns 868,311 shares in the company, valued at approximately $17,366,220. The trade was a 0.18 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this hyperlink.

Jennifer Tejada also recently made the following trade(s):

• On Thursday, December 12th, Jennifer Tejada sold 12,500 shares of PagerDuty stock. The shares were sold at an average price of $20.12, for a total value of $251,500.00.
• On Tuesday, November 12th, Jennifer Tejada sold 18,750 shares of PagerDuty stock. The stock was sold at an average price of $20.04, for a total value of $375,750.00.
• On Thursday, November 7th, Jennifer Tejada sold 38,392 shares of PagerDuty stock. The stock was sold at an average price of $20.05, for a total transaction of $769,759.60.

PagerDuty Trading Up 0.6 %

Shares of PD stock opened at $18.55 on Friday. PagerDuty, Inc. has a fifty-two week low of $16.46 and a fifty-two week high of $25.47. The company has a debt-to-equity ratio of 3.52, a quick ratio of 1.97 and a current ratio of 1.97. The stock’s fifty day moving average is $19.19 and its two-hundred day moving average is $19.03. The firm has a market capitalization of $1.67 billion, a P/E ratio of -23.19 and a beta of 1.13.

Analyst Ratings Changes

Several analysts have recently commented on the stock. JPMorgan Chase & Co. reaffirmed an “underweight” rating and issued a $21.00 price objective on shares of PagerDuty in a report on Wednesday, December 11th. Royal Bank of Canada upped their price target on shares of PagerDuty from $22.00 to $24.00 and gave the company an “outperform” rating in a report on Wednesday, November 27th. Finally, Bank of America lowered PagerDuty from a “buy” rating to an “underperform” rating and reduced their price objective for the company from $23.00 to $18.00 in a research note on Thursday. Two investment analysts have rated the stock with a sell rating, five have assigned a hold rating and four have issued a buy rating to the stock. Based on data from MarketBeat.com, the stock currently has an average rating of “Hold” and an average target price of $21.64.

Hedge Funds Weigh In On PagerDuty

Hedge funds and other institutional investors have recently modified their holdings of the business. Venturi Wealth Management LLC purchased a new stake in PagerDuty during the 4th quarter valued at about $43,000. Allspring Global Investments Holdings LLC grew its position in shares of PagerDuty by 7.2% in the fourth quarter. Allspring Global Investments Holdings LLC now owns 824,250 shares of the company’s stock valued at $15,051,000 after purchasing an additional 55,233 shares in the last quarter. Blue Trust Inc. increased its holdings in shares of PagerDuty by 24.8% in the fourth quarter. Blue Trust Inc. now owns 14,796 shares of the company’s stock valued at $274,000 after purchasing an additional 2,938 shares during the last quarter. AMI Asset Management Corp lifted its stake in shares of PagerDuty by 154.2% in the 4th quarter. AMI Asset Management Corp now owns 56,156 shares of the company’s stock valued at $1,025,000 after purchasing an additional 34,063 shares during the last quarter. Finally, Avanza Fonder AB purchased a new position in shares of PagerDuty during the 4th quarter worth $499,000. 97.26% of the stock is owned by hedge funds and other institutional investors.

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.