UiPath (PATH) Return on Sales [ROS] (2020 - 2026)
UiPath's Return on Sales [ROS] was 7.70% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.28 percentage points from -5.58% a year earlier and up 1.01 percentage points from the prior quarter.
UiPath (PATH) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, UiPath's Return on Sales [ROS] was 8.89% through Jul 31, 2026, up 11.98 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 3.52%, up 14.90 percentage points from FY2025.
- Return on Sales [ROS] has now increased for four consecutive fiscal years, with a five-year change of +21.68 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -11.37% in FY2025 (+1.22 pp), -12.59% in FY2024 (+20.31 pp), -32.90% in FY2023 (+23.24 pp) and -56.14% in FY2022 (-37.99 pp).
- Quarterly Return on Sales [ROS] has moved between -52.64% (fiscal Q3 2022) and 16.69% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for eight straight quarters, with an average year-over-year change of +11.89 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2023 (a gain of 79.42 percentage points); the worst was fiscal Q4 2022 (a drop of 24.58 percentage points).
- Per Business Quant data, PATH's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 6.69% (Q1 2027), 16.69% (Q4 2026) and 3.18% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | UiPath | 5.58 Bn | 114.07 Mn | 329.67 Mn | 7.70% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.70% |
| Apr 30, 2026 | 6.69% |
| Jan 31, 2026 | 16.69% |
| Oct 31, 2025 | 3.18% |
| Jul 31, 2025 | -5.58% |
| Apr 30, 2025 | -4.60% |
| Jan 31, 2025 | 7.93% |
| Oct 31, 2024 | -12.23% |
| Jul 31, 2024 | -32.68% |
| Apr 30, 2024 | -14.76% |
| Jan 31, 2024 | 3.72% |
| Oct 31, 2023 | -17.13% |
| Jul 31, 2023 | -27.00% |
| Apr 30, 2023 | -16.03% |
| Jan 31, 2023 | -14.63% |
| Oct 31, 2022 | -25.50% |
| Jul 31, 2022 | -49.62% |
| Apr 30, 2022 | -47.31% |
| Jan 31, 2022 | -17.56% |
| Oct 31, 2021 | -52.64% |
UiPath 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=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PATH", "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=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();