PagerDuty (NYSE:PD) Posts Earnings Results, Beats Estimates By $0.06 EPS

PagerDuty (NYSE:PD) issued its quarterly earnings data on Thursday. The company reported $0.22 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $0.16 by $0.06, Briefing.com reports. PagerDuty had a negative return on equity of 22.02% and a negative net margin of 16.29%. The company had revenue of $121.45 million during the quarter, compared to the consensus estimate of $119.53 million. During the same period last year, the company earned $0.17 earnings per share. The firm’s revenue was up 9.3% compared to the same quarter last year.

PagerDuty Stock Performance

Shares of PD opened at $18.41 on Friday. The firm has a market cap of $1.66 billion, a PE ratio of -23.01 and a beta of 1.12. The stock’s fifty day moving average price is $18.24 and its two-hundred day moving average price is $18.69. The company has a debt-to-equity ratio of 3.52, a current ratio of 1.97 and a quick ratio of 1.97. PagerDuty has a 1 year low of $15.49 and a 1 year high of $23.85.

Wall Street Analyst Weigh In

A number of brokerages have recently issued reports on PD. Truist Financial lowered their price objective on PagerDuty from $30.00 to $26.00 and set a “buy” rating for the company in a research report on Friday. Royal Bank of Canada reduced their price objective on PagerDuty from $24.00 to $22.00 and set an “outperform” rating for the company in a research note on Friday. JPMorgan Chase & Co. reissued an “underweight” rating and issued a $21.00 price objective on shares of PagerDuty in a research note on Wednesday, December 11th. Bank of America cut 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, January 30th. Finally, Canaccord Genuity Group reduced their price objective on PagerDuty from $24.00 to $23.00 and set a “buy” rating for the company in a research note on Friday. Two research analysts have rated the stock with a sell rating, five have issued a hold rating and four have assigned a buy rating to the stock. According to data from MarketBeat.com, PagerDuty has a consensus rating of “Hold” and an average price target of $20.73.

Insider Activity at PagerDuty

In related news, CEO Jennifer Tejada sold 1,569 shares of the business’s stock in a transaction dated Tuesday, January 28th. The stock was sold at an average price of $20.00, for a total transaction 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 $17,366,220. The trade was a 0.18 % decrease in their ownership of the stock. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is available through this hyperlink. Also, insider Shelley Webb sold 7,879 shares of the business’s 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 transaction, the insider now owns 199,122 shares of the company’s stock, valued at approximately $3,622,029.18. The trade was a 3.81 % decrease in their ownership of the stock. The disclosure for this sale can be found here. In the last three months, insiders have sold 10,048 shares of company stock worth $186,699. 7.60% of the stock is owned by company insiders.

PagerDuty announced that its Board of Directors has initiated a stock buyback plan on Thursday, March 13th that permits the company to repurchase $150.00 million in outstanding shares. This repurchase authorization permits the company to purchase up to 10.7% of its stock through open market purchases. Stock repurchase plans are usually an indication that the company’s board of directors believes its stock is undervalued.

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.