UiPath (PATH) Other Operating Expenses (2020 - 2026)
UiPath (PATH) recorded Other Operating Expenses of $167.41 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 16.4% from $200.26 million a year earlier and down 8.9% from the prior quarter.
UiPath (PATH) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, UiPath's Other Operating Expenses came in at $757.89 million as of Jul 31, 2026, down 7.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $797.55 million, down 8.6% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $872.23 million in FY2025 (+2.7%), $849.31 million in FY2024 (+5.2%), $807.26 million in FY2023 (+0.2%) and $805.47 million in FY2022 (+89.9%).
- The fiscal Q2 2027 figure is the lowest quarterly Other Operating Expenses since fiscal Q2 2022.
- On a year-over-year basis, Other Operating Expenses has declined for eight consecutive quarters, with an average decline of 7.7% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 82.6% in fiscal Q4 2022, against a decline of 16.4% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $183.83 million (Q1 2027), $199.4 million (Q4 2026) and $207.24 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | UiPath | 6.75 Bn | 1.28 Bn | 329.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 164.61 Mn |
| Apr 30, 2026 | 167.86 Mn |
| Jan 31, 2026 | 178.18 Mn |
| Oct 31, 2025 | 179.19 Mn |
| Jul 31, 2025 | 166.30 Mn |
| Apr 30, 2025 | 159.66 Mn |
| Jan 31, 2025 | 176.84 Mn |
| Oct 31, 2024 | 187.19 Mn |
| Jul 31, 2024 | 194.33 Mn |
| Apr 30, 2024 | 180.14 Mn |
| Jan 31, 2024 | 191.72 Mn |
| Oct 31, 2023 | 191.28 Mn |
| Jul 31, 2023 | 169.73 Mn |
| Apr 30, 2023 | 160.41 Mn |
| Jan 31, 2023 | 173.76 Mn |
| Oct 31, 2022 | 156.47 Mn |
| Jul 31, 2022 | 181.55 Mn |
| Apr 30, 2022 | 189.78 Mn |
| Jan 31, 2022 | 174.76 Mn |
| Oct 31, 2021 | 172.91 Mn |
UiPath Other Operating Expenses 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=other-operating-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();