Jennifer Tejada Sells 1,569 Shares of PagerDuty, Inc. (NYSE:PD) Stock

PagerDuty, Inc. (NYSE:PD) CEO Jennifer Tejada sold 1,569 shares of the business’s stock in a transaction on Tuesday, January 28th. The stock was 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. This represents a 0.18 % decrease in their position. The transaction was disclosed in a legal filing with the SEC, which is accessible 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 stock was 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 shares were 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 shares were sold at an average price of $20.05, for a total value of $769,759.60.

PagerDuty Stock Performance

PD traded down $0.91 during midday trading on Thursday, reaching $18.48. The company had a trading volume of 1,383,744 shares, compared to its average volume of 919,454. PagerDuty, Inc. has a 1 year low of $16.46 and a 1 year high of $25.47. 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 company has a market cap of $1.67 billion, a P/E ratio of -23.09 and a beta of 1.13. The business has a 50-day moving average of $19.26 and a two-hundred day moving average of $19.06.

Wall Street Analysts Forecast Growth

A number of equities research analysts have recently weighed in on PD shares. Royal Bank of Canada boosted their price target on shares of PagerDuty from $22.00 to $24.00 and gave the company an “outperform” rating in a research report on Wednesday, November 27th. JPMorgan Chase & Co. restated an “underweight” rating and set a $21.00 price target on shares of PagerDuty in a report on Wednesday, December 11th. Finally, Bank of America cut shares of PagerDuty from a “buy” rating to an “underperform” rating and dropped their price target for the stock from $23.00 to $18.00 in a research note on Thursday. Two research analysts have rated the stock with a sell rating, five have assigned a hold rating and four have assigned a buy rating to the company’s stock. According to data from MarketBeat.com, the company currently has a consensus rating of “Hold” and a consensus price target of $21.64.

Institutional Investors Weigh In On PagerDuty

Institutional investors have recently bought and sold shares of the business. Quarry LP raised its position in shares of PagerDuty by 1,537.2% during the second quarter. Quarry LP now owns 1,408 shares of the company’s stock valued at $32,000 after buying an additional 1,322 shares during the last quarter. Fred Alger Management LLC increased its holdings in PagerDuty by 63.7% in the 3rd quarter. Fred Alger Management LLC now owns 4,097 shares of the company’s stock valued at $76,000 after acquiring an additional 1,594 shares during the last quarter. Point72 DIFC Ltd purchased a new stake in PagerDuty in the 3rd quarter worth $163,000. nVerses Capital LLC purchased a new position in shares of PagerDuty during the third quarter valued at about $176,000. Finally, Blue Trust Inc. increased its holdings in shares of PagerDuty by 33.7% in the third quarter. Blue Trust Inc. now owns 11,858 shares of the company’s stock worth $220,000 after purchasing an additional 2,986 shares during the last quarter. Hedge funds and other institutional investors own 97.26% of the company’s stock.

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.