PagerDuty remains a Hold as near-term growth deceleration persists across ARR, billings, and retention, despite strong profitability. PD's Q3 2026 results show record 29% adj. EBIT margin and GAAP profitability, but revenue growth slowed to 5% y/y and ARR to 3% y/y. Customer additions are robust and the shift to usage-based pricing aligns with AI-driven workload trends, supporting long-term relevance.
PagerDuty (PD) has been upgraded to a Zacks Rank #1 (Strong Buy), reflecting growing optimism about the company's earnings prospects. This might drive the stock higher in the near term.
PagerDuty (PD) is technically in oversold territory now, so the heavy selling pressure might have exhausted. This along with strong agreement among Wall Street analysts in raising earnings estimates could lead to a trend reversal for the stock.
| Software Industry | Information Technology Sector | Jennifer G. Tejada CEO | XBER Exchange | US69553P1003 ISIN |
| US Country | 1,242 Employees | - Last Dividend | - Last Split | 11 Apr 2019 IPO Date |
PagerDuty, Inc. is a global leader in digital operations management, with a presence in the United States and abroad. Since its inception in 2009, PagerDuty has revolutionized the way businesses manage their digital ecosystems. By integrating data and digital signals from almost any software-enabled system or device, the company offers a sophisticated platform that employs machine learning to efficiently process, correlate, and predict potential opportunities and problems. This innovative approach allows organizations to maintain a real-time overview of their digital services' status, significantly reducing downtime and improving overall operational efficiency. Headquartered in San Francisco, California, PagerDuty serves a diverse range of industries, including technology, telecommunications, retail, travel, entertainment, and finance.
This service provides organizations with a comprehensive real-time view of their digital service status while effectively reducing unnecessary noise by eliminating false positives. It's designed to help IT and DevOps teams quickly identify and resolve incidents, ensuring minimal disruption to services.
PagerDuty’s AIOps utilizes advanced machine learning algorithms to correlate millions of events into actionable insights. This automation helps in the rapid identification of incidents, significantly reducing the time and effort required for resolution.
This offering streamlines the orchestration of automated workflows across departments, technologies, and networks. Its centralized design and runtime environment enable seamless process automation, aiding businesses in enhancing efficiency and reliability.
Specifically tailored for customer service teams, this product facilitates the orchestration, automation, and scaling of responses to customer-impacting issues. It aims to improve the overall customer experience by ensuring timely and effective issue resolution.