PagerDuty (PD) Return on Sales [ROS] (2018 - 2026)
PagerDuty (PD) recorded Return on Sales [ROS] of 8.23% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.34 percentage points from 2.89% a year earlier and up 0.64 percentage points from the prior quarter.
PagerDuty (PD) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, PagerDuty's Return on Sales [ROS] came in at 6.47% as of Jul 31, 2026, up 12.42 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 1.19%, up 13.97 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for four straight fiscal years, with a five-year change of +32.22 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -12.79% in FY2025 (+9.56 pp), -22.35% in FY2024 (+12.55 pp), -34.89% in FY2023 (+1.25 pp) and -36.15% in FY2022 (-5.11 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2019.
- On a year-over-year basis, Return on Sales [ROS] has increased for nine consecutive quarters, with an average year-over-year change of +13.57 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 22.72 percentage points in fiscal Q1 2024, against a drop of 4.62 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 7.59% (Q1 2027), 3.62% (Q4 2026) and 6.49% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | -2.26% |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | -17.00% |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 33.89% |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 6.24% |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | -1.72% |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 13.29% |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 9.66% |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 3.68% |
| 10 | PagerDuty | 1.22 Bn | -692.10 Mn | 104.40 Mn | 8.23% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.23% |
| Apr 30, 2026 | 7.59% |
| Jan 31, 2026 | 3.62% |
| Oct 31, 2025 | 6.49% |
| Jul 31, 2025 | 2.89% |
| Apr 30, 2025 | -8.62% |
| Jan 31, 2025 | -9.65% |
| Oct 31, 2024 | -8.65% |
| Jul 31, 2024 | -13.82% |
| Apr 30, 2024 | -19.55% |
| Jan 31, 2024 | -30.09% |
| Oct 31, 2023 | -19.17% |
| Jul 31, 2023 | -24.32% |
| Apr 30, 2023 | -15.30% |
| Jan 31, 2023 | -26.24% |
| Oct 31, 2022 | -34.54% |
| Jul 31, 2022 | -41.98% |
| Apr 30, 2022 | -38.02% |
| Jan 31, 2022 | -34.64% |
| Oct 31, 2021 | -34.58% |
PagerDuty Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();