PagerDuty (NYSE:PD – Get Free Report) declared that its Board of Directors has initiated a stock repurchase plan on Thursday, May 28th, RTT News reports. The company plans to buyback $100.00 million in outstanding shares. This buyback authorization permits the company to repurchase up to 16.4% of its stock through open market purchases. Stock buyback plans are usually a sign that the company’s leadership believes its stock is undervalued.
PagerDuty Price Performance
NYSE PD traded up $0.24 during trading hours on Thursday, reaching $7.43. 2,799,985 shares of the company’s stock were exchanged, compared to its average volume of 1,640,162. The stock has a market cap of $631.48 million, a PE ratio of 4.04, a price-to-earnings-growth ratio of 3.19 and a beta of 0.78. PagerDuty has a one year low of $5.70 and a one year high of $18.00. The firm has a fifty day moving average of $6.66 and a 200-day moving average of $9.43. The company has a current ratio of 2.01, a quick ratio of 2.01 and a debt-to-equity ratio of 1.56.
PagerDuty (NYSE:PD – Get Free Report) last released its quarterly earnings results on Thursday, May 28th. The company reported $0.32 EPS for the quarter, topping analysts’ consensus estimates of $0.24 by $0.08. The business had revenue of $120.97 million for the quarter, compared to analyst estimates of $119.52 million. PagerDuty had a return on equity of 16.29% and a net margin of 35.30%.PagerDuty’s revenue for the quarter was up 1.0% on a year-over-year basis. During the same period in the prior year, the company earned $0.24 EPS. PagerDuty has set its Q2 2027 guidance at 0.290-0.310 EPS. On average, equities research analysts predict that PagerDuty will post 0.34 earnings per share for the current fiscal year.
Analysts Set New Price Targets
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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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