Pagerduty Stock Technical Analysis

PD Stock  USD 7.38  -0.25  -3.28%   
As of the 11th of March 2026, the last recorded price for Pagerduty is 7.38 per share. Primary technical drivers reflect Coefficient Of Variation of -530.85, variance of 11.35, and Risk Adjusted Performance of -0.14. Quantitative analysis incorporates volatility metrics and price behavior to assess directional bias. Metrics are compared to industry averages to assess relative positioning.

Pagerduty Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pagerduty, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PagerdutyPagerduty's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.

Pagerduty Analyst Consensus

Target PriceConsensus# of Analysts
13.71Buy13Odds
Pagerduty current and past analyst recommendations are summarized from multiple research sources. Average analyst consensus is included for context. Analyst ratings for Pagerduty aggregate the views of institutional research teams who conduct deep fundamental analysis, build financial models, and speak directly with Pagerduty's management. Consensus upgrades or downgrades often have meaningful short-term impact on the stock price.
Pagerduty Analyst Advice Details
 Earnings Share
1.61
 Revenue Per Share
5.328
 Quarterly Revenue Growth
0.047
 Return On Assets
-0.01
 Return On Equity
0.6613
The market value of Pagerduty is measured differently than book value, which reflects Pagerduty accounting equity. Pagerduty's market capitalization is 711.47 M. A P/B ratio of 2.18 indicates the market values Pagerduty above its accounting book value. Enterprise value stands at 561 M. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Valuation work aligns these measures into a single context.
Note that Pagerduty's intrinsic value and market price are different measures derived from different inputs. For Pagerduty, key inputs include a P/B ratio of 2.18, a profit margin of 31.12%, ROE of 66.13%, and revenue of 467.5 M. Trading price represents the transaction level agreed by market participants.

Pagerduty 'What if' Analysis

Running a what-if backtest on Pagerduty gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Pagerduty's historical reward profile was stable enough to support the current thesis.
0.00
12/11/2025
 
No Change 0.00  0.0 
In 3 months and 1 day
 
03/11/2026
0.00
If you invested  0.00  in Pagerduty on December 11, 2025 and closed the position today, you would earn 0.00 in aggregate gains. The change equals a 0.0% return on investment in Pagerduty on balance over a 90 day window.. Pagerduty is related to or competes with PAR Technology, Alight, Kodiak AI, ADEIA P, Lightspeed Commerce, Karooooo, and Amplitude. Peer context can support comparative analysis. PagerDuty, Inc. operates a digital operations management platform in the United States, Japan, and internationally More

Pagerduty Upside and Downside Indicators Signals

Upside and downside indicators for Pagerduty summarize momentum balance and potential range context for the stock. The signals are presented as informational context for recent price movement.

Pagerduty Market Risk Indicators Signals

Market risk indicators summarize volatility and return dispersion for Pagerduty. This view provides neutral context for risk and variability.
The concept of mean reversion suggests that Pagerduty's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
Hype
Prediction
LowEstimatedHigh
4.277.6811.09
Details
Intrinsic
Valuation
LowRealHigh
5.538.9412.35
Details
Naive
Forecast
LowNextHigh
5.198.6012.01
Details
13 Analysts
Consensus
LowTargetHigh
12.4813.7115.22
Details
Competitive analysis for Pagerduty compares its financial performance, valuation multiples, and growth trajectory against sector peers. This peer-relative view often uncovers mispricing that single-company analysis would miss.

Pagerduty Technical Indicators

Pagerduty Backtested Returns

Over the selected 3 months, Pagerduty demonstrates a stable performance profile. It shows a risk-adjusted return measure of -0.23, signaling negative dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-four metrics shaping volatility behavior. Please analyze metrics such as Variance of 11.35, coefficient of variation of -530.85, and risk-adjusted performance of -0.14 to assess dispersion and downside exposure. The company owns a Beta (Systematic Risk) of 0.82, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Pagerduty's returns are expected to increase less than the market. However, during a bear market, the loss from holding Pagerduty is expected to be smaller as well. At this point, Pagerduty has a negative expected return of -0.79%. Please make sure to confirm Pagerduty's kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Pagerduty performance from the past will be repeated in the future.
Auto-correlation
    
  0.33  

Below average predictability

Pagerduty exhibits below average predictability. Autocorrelation measures the degree of predictability between Pagerduty time series from 11th of December 2025 to 25th of January 2026 and from 25th of January 2026 to 11th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Pagerduty may be projected. A serial correlation of 0.33 indicates that nearly 33.0% of current Pagerduty price fluctuations can be explained by its historical price movements.
Correlation Coefficient0.33
Spearman Rank Test0.23
Residual Average0.0
Price Variance2.24
Pagerduty technical stock analysis uses price and volume transformations to study behavior. The model references moving averages, relative strength, and price correlation signals.
Technical analysis evaluates whether price behavior reflects available information and market structure. The context is built from recurring price behavior and trend phases. More Info...

Pagerduty Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Pagerduty volatility. High ATR values indicate high volatility, and low values indicate low volatility.

About Pagerduty Technical Analysis

Technical analysis of Pagerduty evaluates price structure, momentum, and volatility clustering. Volume and liquidity conditions influence signal reliability. Lower liquidity may increase execution variability. Pagerduty has market cap of 711.47 M, ROE of 66.13%.

Unless otherwise specified, financial data for Pagerduty is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Pagerduty may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

Pagerduty Technical Indicators

A technical review of Pagerduty can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.

Pagerduty March 11, 2026 Daily Trend Indicators

A technical review of Pagerduty can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.

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