PagerDuty (NYSE:PD) Releases Q3 2026 Earnings Guidance

Key Points

• PagerDuty has updated its third quarter 2026 earnings guidance, projecting an EPS of 0.240-0.25, which exceeds the consensus estimate of 0.170, while revenue guidance is set at $124.0 million-$126.0 million compared to a consensus of $125.5 million.
• Institutional investors and hedge funds are significantly invested in PagerDuty, owning 97.26% of its stock, with several firms recently increasing their stakes in the company.
• Shares of PagerDuty closed down at $15.60, with a market capitalization of $1.42 billion, indicating a notable decline from its 1-year high of $21.98.

PagerDuty (NYSE:PD - Get Free Report) updated its third quarter 2026 earnings guidance on Wednesday. The company provided EPS guidance of 0.240-0.25 for the period, compared to the consensus EPS estimate of 0.170. The company issued revenue guidance of $124.0 million-$126.0 million, compared to the consensus revenue estimate of $125.5 million. PagerDuty also updated its FY 2026 guidance to 1.000-1.04 EPS.

Analyst Ratings Changes

Several brokerages have commented on PD. Zacks Research raised PagerDuty to a "hold" rating in a report on Friday, August 8th. Cowen raised PagerDuty from a "hold" rating to a "buy" rating in a report on Monday, July 28th. TD Securities cut their target price on PagerDuty from $19.00 to $18.00 and set a "hold" rating on the stock in a report on Wednesday, May 21st. Wall Street Zen raised PagerDuty from a "buy" rating to a "strong-buy" rating in a report on Sunday, August 31st. Finally, Canaccord Genuity Group dropped their price objective on PagerDuty from $21.00 to $19.00 and set a "buy" rating on the stock in a research note on Thursday. Five equities research analysts have rated the stock with a Buy rating, five have given a Hold rating and two have assigned a Sell rating to the company. Based on data from MarketBeat, the stock has a consensus rating of "Hold" and an average target price of $18.70.

PagerDuty Stock Up 4.3%

Shares of PagerDuty stock traded up $0.71 on Monday, hitting $17.18. The company had a trading volume of 2,869,211 shares, compared to its average volume of 2,822,393. The stock has a market capitalization of $1.60 billion, a price-to-earnings ratio of -107.35, a P/E/G ratio of 7.90 and a beta of 0.88. PagerDuty has a 1 year low of $13.69 and a 1 year high of $21.98. The stock has a 50 day moving average of $15.81 and a 200-day moving average of $16.07. The company has a debt-to-equity ratio of 2.18, a quick ratio of 2.39 and a current ratio of 2.39.

Institutional Trading of PagerDuty

Several institutional investors and hedge funds have recently modified their holdings of the stock. MIRAE ASSET GLOBAL ETFS HOLDINGS Ltd. increased 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 valued at $943,000 after acquiring an additional 671 shares during the last quarter. California State Teachers Retirement System increased 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 valued at $1,245,000 after acquiring an additional 1,129 shares during the last quarter. State of Tennessee Department of Treasury purchased a new stake in shares of PagerDuty during the second quarter valued at approximately $160,000. Oxford Asset Management LLP purchased a new stake in shares of PagerDuty during the second quarter valued at approximately $168,000. Finally, Caxton Associates LLP purchased a new stake in shares of PagerDuty during the second quarter valued at approximately $186,000. 97.26% of the stock is owned by hedge funds and other institutional investors.

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.