PagerDuty (NYSE:PD – Get Free Report) updated its FY 2027 earnings guidance on Thursday. The company provided earnings per share guidance of 1.330-1.370 for the period, compared to the consensus earnings per share estimate of 1.170. The company issued revenue guidance of $491.5 million-$496.5 million, compared to the consensus revenue estimate of $493.2 million. PagerDuty also updated its Q3 2027 guidance to 0.340-0.360 EPS.
Wall Street Analysts Forecast Growth
Several equities research analysts recently weighed in on the company. Royal Bank Of Canada boosted their target price on PagerDuty from $9.00 to $12.00 and gave the stock a “sector perform” rating in a research note on Friday, August 14th. Truist Financial lifted their price objective on shares of PagerDuty from $11.00 to $13.00 and gave the company a “buy” rating in a research report on Thursday, August 20th. UBS Group set a $13.50 target price on PagerDuty in a report on Wednesday. Wall Street Zen cut PagerDuty from a “buy” rating to a “hold” rating in a report on Saturday, July 25th. Finally, Morgan Stanley lowered shares of PagerDuty from an “equal weight” rating to an “underweight” rating and lowered their price target for the company from $10.00 to $9.00 in a research report on Tuesday, July 21st. Three research analysts have rated the stock with a Buy rating, six have assigned a Hold rating and two have assigned a Sell rating to the company’s stock. Based on data from MarketBeat.com, the company currently has an average rating of “Hold” and a consensus target price of $12.28.
View Our Latest Research Report on PagerDuty
PagerDuty Stock Up 3.8%
PagerDuty (NYSE:PD – Get Free Report) last issued its earnings results on Thursday, August 27th. The company reported $0.32 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $0.31 by $0.01. PagerDuty had a net margin of 38.60% and a return on equity of 18.20%. The firm had revenue of $124.44 million for the quarter, compared to analysts’ expectations of $123.27 million. PagerDuty has set its FY 2027 guidance at 1.330-1.370 EPS and its Q3 2027 guidance at 0.340-0.360 EPS. On average, sell-side analysts predict that PagerDuty will post 0.58 earnings per share for the current fiscal year.
PagerDuty declared that its board has approved a share buyback plan on Thursday, May 28th that authorizes the company to buyback $100.00 million in outstanding shares. This buyback authorization authorizes the company to buy up to 16.4% of its stock through open market purchases. Stock buyback plans are typically a sign that the company’s board of directors believes its shares are undervalued.
Institutional Trading of PagerDuty
Several hedge funds and other institutional investors have recently modified their holdings of PD. Invesco Ltd. raised its holdings in shares of PagerDuty by 24.3% during the 4th quarter. Invesco Ltd. now owns 133,179 shares of the company’s stock valued at $1,746,000 after purchasing an additional 26,000 shares in the last quarter. EP Wealth Advisors LLC bought a new stake in PagerDuty in the 4th quarter valued at $191,000. XTX Topco Ltd grew its position in PagerDuty by 713.4% during the fourth quarter. XTX Topco Ltd now owns 223,095 shares of the company’s stock worth $2,925,000 after buying an additional 195,667 shares in the last quarter. Zacks Investment Management raised its stake in shares of PagerDuty by 44.4% in the fourth quarter. Zacks Investment Management now owns 110,618 shares of the company’s stock valued at $1,450,000 after purchasing an additional 33,991 shares in the last quarter. Finally, VARCOV Co. acquired a new stake in shares of PagerDuty during the 4th quarter valued at about $1,357,000. 97.26% of the stock is currently owned by hedge funds and other institutional investors.
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. Its platform includes PagerDuty Incident Management that provides a real-time view across the status of a digital service while incorporating noise reduction to remove false positives; AIOps that applies machine learning to correlate and automate the identification of incidents from billions of events; Process Automation offers centralized design time and run time environment for orchestrating automated workflows that span across departments, technologies, and networks; Customer Service Operations, which is offered to orchestrate, automate, and scale responses to customer impacting issues.
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