PagerDuty Inc. (2TY)
XSTU 
Summary
2TY Chart
PagerDuty, Inc. (PD) Q2 2027 Earnings Call Transcript
PagerDuty, Inc. (PD) Q2 2027 Earnings Call Transcript
PagerDuty Q2 Earnings Call Highlights
PagerDuty NYSE: PD reported second-quarter fiscal 2027 revenue of $124.4 million, up 1% from a year earlier and above the high end of its guidance range, while annual recurring revenue surpassed $500 million for the first time. The company also raised its full-year operating-margin outlook after completing a workforce restructuring affecting about 15% of employees.
PagerDuty (PD) Surpasses Q2 Earnings and Revenue Estimates
PagerDuty (PD) came out with quarterly earnings of $0.32 per share, beating the Zacks Consensus Estimate of $0.3 per share. This compares to earnings of $0.3 per share a year ago.
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PagerDuty Inc. Profile
| Software Industry | Information Technology Sector | John D. DiLullo CEO | XSTU Exchange | 69553P100 CUSIP |
| US Country | 1,155 Employees | - Last Dividend | - Last Split | 11 Apr 2019 IPO Date |
Overview
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.
Products and Services
- PagerDuty Incident Management
- AIOps
- Process Automation
- Customer Service Operations
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.
