PagerDuty, Inc. (NYSE:PD – Get Free Report)’s stock price gapped up before the market opened on Wednesday after Royal Bank of Canada raised their price target on the stock from $22.00 to $24.00. The stock had previously closed at $20.91, but opened at $21.76. Royal Bank of Canada currently has an outperform rating on the stock. PagerDuty shares last traded at $20.88, with a volume of 116,763 shares changing hands.
Other analysts also recently issued reports about the company. Canaccord Genuity Group decreased their target price on PagerDuty from $26.00 to $24.00 and set a “buy” rating for the company in a research report on Wednesday, September 4th. TD Cowen decreased their price objective on shares of PagerDuty from $23.00 to $19.00 and set a “hold” rating for the company in a report on Wednesday, September 4th. The Goldman Sachs Group dropped their target price on shares of PagerDuty from $24.00 to $21.00 and set a “neutral” rating on the stock in a research note on Wednesday, September 4th. Craig Hallum decreased their price target on shares of PagerDuty from $30.00 to $26.00 and set a “buy” rating for the company in a research note on Wednesday, September 4th. Finally, Morgan Stanley dropped their price objective on PagerDuty from $24.00 to $19.00 and set an “equal weight” rating on the stock in a research note on Wednesday, September 4th. Six equities research analysts have rated the stock with a hold rating and five have given a buy rating to the stock. According to data from MarketBeat.com, the stock currently has a consensus rating of “Hold” and an average target price of $22.00.
View Our Latest Stock Report on PagerDuty
Insider Buying and Selling at PagerDuty
Institutional Investors Weigh In On PagerDuty
Institutional investors and hedge funds have recently modified their holdings of the company. Benjamin F. Edwards & Company Inc. grew its position in PagerDuty by 6,298.4% during the 2nd quarter. Benjamin F. Edwards & Company Inc. now owns 55,410 shares of the company’s stock worth $1,270,000 after purchasing an additional 54,544 shares during the period. Jackson Square Capital LLC acquired a new stake in PagerDuty during the third quarter worth about $665,000. Clearline Capital LP purchased a new position in PagerDuty during the second quarter valued at approximately $1,323,000. Natixis Advisors LLC raised its position in PagerDuty by 172.8% during the second quarter. Natixis Advisors LLC now owns 39,733 shares of the company’s stock valued at $911,000 after acquiring an additional 25,170 shares in the last quarter. Finally, RGM Capital LLC lifted its holdings in PagerDuty by 3.3% in the second quarter. RGM Capital LLC now owns 4,504,394 shares of the company’s stock valued at $103,286,000 after acquiring an additional 143,701 shares during the period. Institutional investors and hedge funds own 97.26% of the company’s stock.
PagerDuty Trading Up 0.5 %
The firm has a market cap of $1.96 billion, a PE ratio of -23.61 and a beta of 1.07. The company has a 50-day simple moving average of $18.75 and a 200 day simple moving average of $19.60. The company has a current ratio of 2.13, a quick ratio of 2.13 and a debt-to-equity ratio of 2.38.
PagerDuty (NYSE:PD – Get Free Report) last posted its earnings results on Tuesday, September 3rd. The company reported $0.21 EPS for the quarter, beating analysts’ consensus estimates of $0.17 by $0.04. The firm had revenue of $115.94 million for the quarter, compared to analysts’ expectations of $116.52 million. PagerDuty had a negative return on equity of 25.83% and a negative net margin of 18.58%. The company’s quarterly revenue was up 7.7% on a year-over-year basis. During the same period last year, the firm earned ($0.18) EPS. As a group, sell-side analysts forecast that PagerDuty, Inc. will post -0.37 earnings per share for the current fiscal year.
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.
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