UiPath (PATH) Change in Accrued Expenses (2020 - 2026)
UiPath (PATH) recorded Change in Accrued Expenses of $26.15 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 23.4% from $21.18 million a year earlier.
UiPath (PATH) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, UiPath's Change in Accrued Expenses came in at $63.13 million as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it was $46.7 million.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accrued Expenses came in at -$23.43 million in FY2025, $11.8 million in FY2024 (-21.8%), $15.09 million in FY2023 (-67.0%) and $45.73 million in FY2022 (-8.4%).
- Quarterly Change in Accrued Expenses has ranged from -$96.4 million in fiscal Q1 2025 to $87.38 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in two of the last six quarters, with growth averaging 80.7%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 679.4% in fiscal Q3 2026, against a decline of 66.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$61.06 million (Q1 2027), $10.67 million (Q4 2026) and $87.38 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -1.08 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -4.08 Mn |
| 10 | UiPath | 6.75 Bn | 1.28 Bn | 329.67 Mn | 26.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 26.15 Mn |
| Apr 30, 2026 | -61.06 Mn |
| Jan 31, 2026 | 10.67 Mn |
| Oct 31, 2025 | 87.38 Mn |
| Jul 31, 2025 | 21.18 Mn |
| Apr 30, 2025 | -72.53 Mn |
| Jan 31, 2025 | 25.16 Mn |
| Oct 31, 2024 | 11.21 Mn |
| Jul 31, 2024 | 36.60 Mn |
| Apr 30, 2024 | -96.40 Mn |
| Jan 31, 2024 | 52.39 Mn |
| Oct 31, 2023 | 33.59 Mn |
| Jul 31, 2023 | 19.21 Mn |
| Apr 30, 2023 | -93.39 Mn |
| Jan 31, 2023 | 41.18 Mn |
| Oct 31, 2022 | 18.95 Mn |
| Jul 31, 2022 | 20.04 Mn |
| Apr 30, 2022 | -65.08 Mn |
| Jan 31, 2022 | 27.97 Mn |
| Oct 31, 2021 | 50.44 Mn |
UiPath Change in Accrued 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=change-in-accured-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();