PD

NYSE Technology

PagerDuty, Inc. Common Stock

Software - Application

PagerDuty, Inc. engages in the operation of a digital operations management platform in the United States and internationally. The company collects data and digital signals from virtually any software-enabled system or device and leverages artificial intelligence and powerful machine learning to correlate, process, predict, and remediate incident. Its platform includes PagerDuty Incident Management that provides a real-time view status of a digital service; AIOps that applies machine learning to correlate and automate the identification of incidents from billions of events; automation offers centralized design time and run time environment for orchestrating automated workflows; customer service operations, which is offered to orchestrate, automate, and scale responses to customer issues; and artificial intelligence offers generative AI capabilities for the PagerDuty operations cloud platform . The company serves various industries, including software and technology, telecommunications, retail, travel and hospitality, media and entertainment, and financial services. PagerDuty, Inc. was founded in 2009 and is headquartered in San Francisco, California.

๐Ÿ“Š Market Data
Price$10.65
Volume1,874,579
Market Cap816.32M
Beta0.940
RSI (14-Day)78.5 Overbought
200-Day MA$10.39
50-Day MA$8.69
52-Week High$18.00
52-Week Low$5.70
P/E Ratio5.14
Forward P/E7.58
Price / Book3.77
๐ŸŽฏ Investment Strategy Scores

PD scores across each investment strategy. Higher is better for that strategy's goals.

๐Ÿ’ฐ Dividend Daddy 35/100โ–ผ -2
High dividend yield + low volatility
๐Ÿš€ Moon Shot 28/100โ–ผ -1
High growth potential (high beta + oversold)
๐Ÿ”ช Falling Knife 21/100โ–ผ -5
Contrarian plays (oversold + below moving average)
๐ŸŽˆ Over-Hyped 94/100โ–ฒ +5
Overbought stocks (potential short candidates)
Large-cap, institutional-quality stocks
๐Ÿ” Strategy Interpretation

Best fit: ๐ŸŽˆ Over-Hyped (94/100) โ€” this strategy Overbought stocks (potential short candidates).

Lowest fit among scored strategies: ๐Ÿ‹ Institutional Whale (20/100). No single score is a buy or sell signal โ€” use multiple lenses together. Learn how to read these scores โ†’

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Disclaimer: This data is for educational and entertainment purposes only and does not constitute financial advice. Market data may be delayed. Always do your own research before making investment decisions.
Data last updated: 2026-07-16.