PagerDuty (NYSE:PD – Get Free Report)’s share price hit a new 52-week low during mid-day trading on Thursday . The stock traded as low as $5.90 and last traded at $5.8940, with a volume of 712145 shares changing hands. The stock had previously closed at $6.24.
Analyst Upgrades and Downgrades
PD has been the subject of several research reports. Canaccord Genuity Group cut their price target on PagerDuty from $19.00 to $9.00 and set a “buy” rating for the company in a report on Friday, March 13th. Zacks Research downgraded PagerDuty from a “strong-buy” rating to a “hold” rating in a report on Monday, January 26th. Wall Street Zen raised PagerDuty from a “hold” rating to a “buy” rating in a report on Tuesday. William Blair reaffirmed a “market perform” rating on shares of PagerDuty in a report on Friday, March 13th. Finally, Royal Bank Of Canada cut their price target on PagerDuty from $9.00 to $8.00 and set a “sector perform” rating for the company in a report on Friday, March 13th. Three analysts have rated the stock with a Buy rating, seven have assigned a Hold rating and three have issued a Sell rating to the stock. According to data from MarketBeat, the stock presently has an average rating of “Hold” and an average target price of $12.40.
Get Our Latest Analysis on PagerDuty
PagerDuty Stock Down 4.3%
PagerDuty (NYSE:PD – Get Free Report) last posted its quarterly earnings data on Thursday, March 12th. The company reported $0.29 earnings per share for the quarter, topping the consensus estimate of $0.24 by $0.05. The firm had revenue of $124.79 million for the quarter, compared to analysts’ expectations of $122.96 million. PagerDuty had a return on equity of 16.29% and a net margin of 35.30%.The company’s quarterly revenue was up 2.7% compared to the same quarter last year. During the same quarter last year, the business earned $0.22 EPS. PagerDuty has set its Q1 2027 guidance at 0.230-0.250 EPS and its FY 2027 guidance at 1.230-1.280 EPS. Equities research analysts expect that PagerDuty will post -0.27 earnings per share for the current fiscal year.
Institutional Inflows and Outflows
A number of hedge funds have recently modified their holdings of the stock. Vanguard Group Inc. increased its position in shares of PagerDuty by 3.8% in the fourth quarter. Vanguard Group Inc. now owns 13,066,929 shares of the company’s stock worth $171,307,000 after purchasing an additional 472,975 shares during the period. ARK Investment Management LLC increased its position in shares of PagerDuty by 2.6% in the third quarter. ARK Investment Management LLC now owns 8,827,404 shares of the company’s stock worth $145,829,000 after purchasing an additional 224,769 shares during the period. Geode Capital Management LLC increased its position in shares of PagerDuty by 2.9% in the fourth quarter. Geode Capital Management LLC now owns 2,113,117 shares of the company’s stock worth $27,708,000 after purchasing an additional 58,881 shares during the period. Ameriprise Financial Inc. increased its position in shares of PagerDuty by 333.2% in the third quarter. Ameriprise Financial Inc. now owns 1,450,429 shares of the company’s stock worth $23,961,000 after purchasing an additional 1,115,577 shares during the period. Finally, Loomis Sayles & Co. L P increased its position in shares of PagerDuty by 0.3% in 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. 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. 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.
Further Reading
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