Mackenzie Financial Corp grew its holdings in PagerDuty (NYSE:PD - Free Report) by 20.6% in the first quarter, according to the company in its most recent Form 13F filing with the SEC. The institutional investor owned 134,350 shares of the company's stock after buying an additional 22,994 shares during the quarter. Mackenzie Financial Corp owned approximately 0.15% of PagerDuty worth $2,455,000 at the end of the most recent reporting period.
Several other institutional investors and hedge funds have also added to or reduced their stakes in PD. KBC Group NV acquired a new position in PagerDuty in the first quarter valued at about $33,000. Point72 Asia Singapore Pte. Ltd. bought a new position in PagerDuty during the 4th quarter worth approximately $130,000. Teacher Retirement System of Texas acquired a new position in PagerDuty during the first quarter valued at approximately $229,000. Universal Beteiligungs und Servicegesellschaft mbH acquired a new position in PagerDuty during the first quarter valued at approximately $246,000. Finally, Pictet Asset Management Holding SA raised its holdings in PagerDuty by 35.0% in the fourth quarter. Pictet Asset Management Holding SA now owns 13,631 shares of the company's stock worth $249,000 after purchasing an additional 3,533 shares during the period. Institutional investors and hedge funds own 97.26% of the company's stock.
PagerDuty Stock Up 1.7%
Shares of NYSE PD traded up $0.27 during trading hours on Monday, hitting $15.72. The company had a trading volume of 1,626,532 shares, compared to its average volume of 1,357,450. PagerDuty has a 1-year low of $13.69 and a 1-year high of $21.98. The company has a quick ratio of 2.02, a current ratio of 2.02 and a debt-to-equity ratio of 2.70. The firm's 50 day moving average is $15.25 and its 200-day moving average is $16.56. The stock has a market capitalization of $1.43 billion, a P/E ratio of -39.29, a price-to-earnings-growth ratio of 9.59 and a beta of 0.89.
PagerDuty (NYSE:PD - Get Free Report) last announced its quarterly earnings data on Thursday, May 29th. The company reported $0.24 EPS for the quarter, beating analysts' consensus estimates of $0.19 by $0.05. PagerDuty had a negative net margin of 7.75% and a negative return on equity of 8.73%. The company had revenue of $119.81 million during the quarter, compared to the consensus estimate of $118.98 million. During the same quarter last year, the firm posted $0.17 EPS. The company's quarterly revenue was up 7.8% on a year-over-year basis. On average, analysts expect that PagerDuty will post -0.27 earnings per share for the current fiscal year.
Wall Street Analysts Forecast Growth
Several analysts recently commented on PD shares. JPMorgan Chase & Co. dropped their price objective on PagerDuty from $21.00 to $18.00 and set an "underweight" rating on the stock in a research note on Friday, May 30th. Morgan Stanley reduced their price target on shares of PagerDuty from $20.00 to $17.00 and set an "equal weight" rating for the company in a report on Wednesday, April 16th. TD Securities lowered their price objective on shares of PagerDuty from $19.00 to $18.00 and set a "hold" rating for the company in a research report on Wednesday, May 21st. Truist Financial cut their price objective on shares of PagerDuty from $26.00 to $23.00 and set a "buy" rating on the stock in a research report on Friday, May 30th. Finally, Canaccord Genuity Group cut their price target on PagerDuty from $23.00 to $21.00 and set a "buy" rating on the stock in a report on Monday, June 2nd. Two equities research analysts have rated the stock with a sell rating, five have issued a hold rating and six have issued a buy rating to the stock. According to MarketBeat, the stock presently has a consensus rating of "Hold" and a consensus price target of $19.75.
View Our Latest Analysis on PD
PagerDuty Company Profile
(
Free Report)
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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