PagerDuty (NYSE:PD – Get Free Report) updated its FY 2027 earnings guidance on Monday. The company provided EPS guidance of 1.230-1.280 for the period, compared to the consensus EPS estimate of 1.080. The company issued revenue guidance of $488.5 million-$496.5 million, compared to the consensus revenue estimate of $492.9 million. PagerDuty also updated its Q1 2027 guidance to 0.230-0.250 EPS.
Analyst Upgrades and Downgrades
A number of research analysts have issued reports on the company. Morgan Stanley set a $9.00 price target on PagerDuty in a research report on Thursday, February 19th. Royal Bank Of Canada reduced their price target on PagerDuty from $9.00 to $8.00 and set a “sector perform” rating for the company in a research report on Friday, March 13th. TD Cowen reduced their price target on PagerDuty from $20.00 to $10.00 and set a “buy” rating for the company in a research report on Friday, March 13th. William Blair reiterated a “market perform” rating on shares of PagerDuty in a research report on Friday, March 13th. Finally, Wall Street Zen lowered PagerDuty from a “buy” rating to a “hold” rating in a research report on Saturday. Three investment analysts have rated the stock with a Buy rating, seven have assigned a Hold rating and three have assigned a Sell rating to the stock. According to MarketBeat.com, the company presently has an average rating of “Hold” and a consensus target price of $12.40.
Read Our Latest Research Report on PD
PagerDuty Price Performance
PagerDuty (NYSE:PD – Get Free Report) last posted its quarterly earnings data on Thursday, March 12th. The company reported $0.29 EPS for the quarter, topping analysts’ consensus estimates of $0.24 by $0.05. PagerDuty had a return on equity of 16.29% and a net margin of 35.30%.The company had revenue of $124.79 million for the quarter, compared to the consensus estimate of $122.96 million. During the same quarter in the previous year, the business earned $0.22 EPS. The company’s quarterly revenue was up 2.7% compared to the same quarter last year. PagerDuty has set its Q1 2027 guidance at 0.230-0.250 EPS and its FY 2027 guidance at 1.230-1.280 EPS. On average, analysts forecast that PagerDuty will post 0.34 earnings per share for the current fiscal year.
Institutional Investors Weigh In On PagerDuty
A number of institutional investors and hedge funds have recently modified their holdings of the stock. MIRAE ASSET GLOBAL ETFS HOLDINGS Ltd. raised its position in shares of PagerDuty by 1.3% during the first quarter. MIRAE ASSET GLOBAL ETFS HOLDINGS Ltd. now owns 51,601 shares of the company’s stock worth $943,000 after purchasing an additional 671 shares during the period. California State Teachers Retirement System raised its position in shares of PagerDuty by 1.4% during the second quarter. California State Teachers Retirement System now owns 81,474 shares of the company’s stock worth $1,245,000 after purchasing an additional 1,129 shares during the period. Loomis Sayles & Co. L P raised its position in shares of PagerDuty by 0.3% during the fourth quarter. Loomis Sayles & Co. L P now owns 1,092,963 shares of the company’s stock worth $14,329,000 after purchasing an additional 3,276 shares during the period. Alliancebernstein L.P. raised its position in shares of PagerDuty by 4.1% during the third quarter. Alliancebernstein L.P. now owns 95,302 shares of the company’s stock worth $1,574,000 after purchasing an additional 3,784 shares during the period. Finally, Swiss National Bank raised its position in shares of PagerDuty by 2.3% during the third quarter. Swiss National Bank now owns 169,700 shares of the company’s stock worth $2,803,000 after purchasing an additional 3,800 shares during the period. 97.26% of the stock is owned by institutional investors and hedge funds.
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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