Bank of America Begins Coverage on PagerDuty (NYSE:PD)

Investment analysts at Bank of America assumed coverage on shares of PagerDuty (NYSE:PD) in a research report issued to clients and investors on Tuesday. The firm set an “underperform” rating and a $12.00 price target on the stock. Bank of America‘s price objective would suggest a potential downside of 0.37% from the stock’s current price.

PD has been the subject of several other research reports. TD Cowen decreased their target price on PagerDuty from $22.00 to $20.00 and set a “buy” rating for the company in a research report on Wednesday, November 26th. Weiss Ratings restated a “sell (e+)” rating on shares of PagerDuty in a research note on Wednesday, October 8th. Robert W. Baird lowered their target price on shares of PagerDuty from $18.00 to $16.00 and set a “neutral” rating for the company in a research note on Thursday, September 4th. Zacks Research raised shares of PagerDuty to a “hold” rating in a report on Friday, August 8th. Finally, Truist Financial decreased their price target on shares of PagerDuty from $23.00 to $20.00 and set a “buy” rating for the company in a report on Wednesday, November 19th. One research analyst has rated the stock with a Strong Buy rating, five have issued a Buy rating, five have assigned a Hold rating and three have issued a Sell rating to the company. According to MarketBeat, the stock has a consensus rating of “Hold” and an average target price of $17.18.

PagerDuty Price Performance

Shares of PD stock opened at $12.04 on Tuesday. The firm has a fifty day moving average of $15.30 and a two-hundred day moving average of $15.54. The firm has a market cap of $1.11 billion, a P/E ratio of 7.53, a P/E/G ratio of 4.97 and a beta of 0.69. PagerDuty has a 1-year low of $11.13 and a 1-year high of $21.69. The company has a debt-to-equity ratio of 1.23, a current ratio of 2.37 and a quick ratio of 2.37.

PagerDuty (NYSE:PD) last issued its quarterly earnings results on Tuesday, November 25th. The company reported $0.33 EPS for the quarter, topping the consensus estimate of $0.24 by $0.09. The business had revenue of $124.55 million for the quarter, compared to analysts’ expectations of $124.92 million. PagerDuty had a net margin of 31.12% and a return on equity of 10.27%. The company’s quarterly revenue was up 4.7% compared to the same quarter last year. During the same quarter last year, the company posted $0.26 earnings per share. PagerDuty has set its FY 2026 guidance at 1.110-1.120 EPS and its Q4 2026 guidance at 0.240-0.250 EPS. As a group, research analysts anticipate that PagerDuty will post -0.27 earnings per share for the current fiscal year.

Institutional Investors Weigh In On PagerDuty

A number of hedge funds have recently made changes to their positions in the business. Universal Beteiligungs und Servicegesellschaft mbH bought a new position in PagerDuty in the 1st quarter worth approximately $246,000. Cetera Investment Advisers grew its stake in shares of PagerDuty by 22.5% in the first quarter. Cetera Investment Advisers now owns 15,946 shares of the company’s stock worth $291,000 after purchasing an additional 2,928 shares in the last quarter. Federated Hermes Inc. acquired a new position in shares of PagerDuty during the first quarter valued at $314,000. IQ EQ FUND MANAGEMENT IRELAND Ltd raised its stake in shares of PagerDuty by 62.7% during the first quarter. IQ EQ FUND MANAGEMENT IRELAND Ltd now owns 63,168 shares of the company’s stock valued at $1,154,000 after purchasing an additional 24,339 shares in the last quarter. Finally, Deutsche Bank AG lifted its holdings in PagerDuty by 5.8% in the first quarter. Deutsche Bank AG now owns 845,340 shares of the company’s stock worth $15,444,000 after purchasing an additional 46,289 shares during the period. Institutional investors own 97.26% of the company’s stock.

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.