PagerDuty (PD) Return on Assets [ROA] (2019 - 2026)
PagerDuty's Return on Assets [ROA] came in at 19.37% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 20.80 percentage points from -1.43% a year earlier and up 0.15 percentage points from the prior quarter.
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Analysis
PagerDuty (PD) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), PagerDuty's Return on Assets [ROA] was 18.01%, up 22.71 percentage points from FY2025.
- Return on Assets [ROA] has increased in each of the last three fiscal years, with a five-year change of +29.21 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -4.70% in FY2025 (+4.18 pp), -8.88% in FY2024 (+7.03 pp), -15.91% in FY2023 (-2.50 pp) and -13.42% in FY2022 (-2.22 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2020.
- Year-over-year, Return on Assets [ROA] has increased for 14 consecutive quarters, with an average year-over-year change of +13.19 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q3 2026 (a gain of 23.23 percentage points), and the weakest in fiscal Q3 2022 (a drop of 5.27 percentage points).
- Business Quant data shows PD's Return on Assets [ROA] at 19.22% (Q1 2027), 17.11% (Q4 2026) and 16.11% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 0.65% |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 0.68% |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | -12.62% |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 20.01% |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 3.40% |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | -0.84% |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 3.20% |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | -0.81% |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 1.57% |
| 10 | PagerDuty | 1.22 Bn | -692.10 Mn | 104.40 Mn | 19.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.37% |
| Apr 30, 2026 | 19.22% |
| Jan 31, 2026 | 17.11% |
| Oct 31, 2025 | 16.11% |
| Jul 31, 2025 | -1.43% |
| Apr 30, 2025 | -3.62% |
| Jan 31, 2025 | -4.85% |
| Oct 31, 2024 | -7.12% |
| Jul 31, 2024 | -7.66% |
| Apr 30, 2024 | -8.85% |
| Jan 31, 2024 | -8.54% |
| Oct 31, 2023 | -8.66% |
| Jul 31, 2023 | -11.56% |
| Apr 30, 2023 | -13.49% |
| Jan 31, 2023 | -16.13% |
| Oct 31, 2022 | -16.97% |
| Jul 31, 2022 | -16.14% |
| Apr 30, 2022 | -14.80% |
| Jan 31, 2022 | -13.53% |
| Oct 31, 2021 | -12.91% |
API Access
PagerDuty Return on Assets [ROA] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "PD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();