UiPath (PATH) Total Liabilities (2021 - 2026)
UiPath (PATH) posted Total Liabilities of $958.82 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.5% from $926.61 million a year earlier but down 4.3% from the prior quarter.
UiPath (PATH) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), UiPath's Total Liabilities came in at $1.1 billion, up 7.6% from FY2025.
- Annual Total Liabilities has increased for four consecutive fiscal years, though with a five-year compound annual growth rate of -8.1% (FY2021 to FY2026).
- In prior fiscal years, UiPath's Total Liabilities was $1.02 billion in FY2025 (+8.6%), $938.64 million in FY2024 (+15.2%), $815.05 million in FY2023 (+25.3%) and $650.53 million in FY2022 (-61.0%).
- Quarterly Total Liabilities has run from a low of $544.53 million in fiscal Q1 2023 to a high of $1.1 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 18 quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 33.8%; the weakest was fiscal Q4 2022, with a decline of 61.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1 billion (Q1 2027), $1.1 billion (Q4 2026) and $971.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 236.06 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 18.26 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 21.71 Bn |
| 10 | UiPath | 6.75 Bn | 1.28 Bn | 329.67 Mn | 958.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 958.82 Mn |
| Apr 30, 2026 | 1.00 Bn |
| Jan 31, 2026 | 1.10 Bn |
| Oct 31, 2025 | 971.36 Mn |
| Jul 31, 2025 | 926.61 Mn |
| Apr 30, 2025 | 945.98 Mn |
| Jan 31, 2025 | 1.02 Bn |
| Oct 31, 2024 | 931.45 Mn |
| Jul 31, 2024 | 867.75 Mn |
| Apr 30, 2024 | 817.97 Mn |
| Jan 31, 2024 | 938.64 Mn |
| Oct 31, 2023 | 825.85 Mn |
| Jul 31, 2023 | 686.77 Mn |
| Apr 30, 2023 | 687.15 Mn |
| Jan 31, 2023 | 815.05 Mn |
| Oct 31, 2022 | 651.86 Mn |
| Jul 31, 2022 | 585.13 Mn |
| Apr 30, 2022 | 544.53 Mn |
| Jan 31, 2022 | 650.53 Mn |
| Oct 31, 2021 | 584.28 Mn |
UiPath Total Liabilities 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=total-liabilities&ticker=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();