UiPath (PATH) Accumulated Expenses (2021 - 2026)
UiPath (PATH) recorded Accumulated Expenses of $156.93 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.6% from $145.86 million a year earlier but down 12.2% from the prior quarter.
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Analysis
UiPath (PATH) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), UiPath reported Accumulated Expenses of $170.5 million, up 103.2% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 36.0% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $83.92 million in FY2025 (-0.1%), $84 million in FY2024 (+9.6%), $76.65 million in FY2023 (-12.9%) and $87.96 million in FY2022 (+139.9%).
- Quarterly Accumulated Expenses has ranged from $63.14 million in fiscal Q1 2024 to $178.69 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 40.8% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 139.9% in fiscal Q4 2022, against a decline of 16.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $178.69 million (Q1 2027), $170.5 million (Q4 2026) and $151.87 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | UiPath | 5.58 Bn | 114.07 Mn | 329.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 156.93 Mn |
| Apr 30, 2026 | 178.69 Mn |
| Jan 31, 2026 | 170.50 Mn |
| Oct 31, 2025 | 151.87 Mn |
| Jul 31, 2025 | 145.86 Mn |
| Apr 30, 2025 | 123.13 Mn |
| Jan 31, 2025 | 83.92 Mn |
| Oct 31, 2024 | 93.88 Mn |
| Jul 31, 2024 | 82.64 Mn |
| Apr 30, 2024 | 84.79 Mn |
| Jan 31, 2024 | 84.00 Mn |
| Oct 31, 2023 | 108.01 Mn |
| Jul 31, 2023 | 64.40 Mn |
| Apr 30, 2023 | 63.14 Mn |
| Jan 31, 2023 | 76.65 Mn |
| Oct 31, 2022 | 78.89 Mn |
| Jul 31, 2022 | 74.67 Mn |
| Apr 30, 2022 | 75.59 Mn |
| Jan 31, 2022 | 87.96 Mn |
| Oct 31, 2021 | 82.44 Mn |
API Access
UiPath Accumulated 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=accumulated-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();