UiPath (PATH) Income Taxes Paid (2020 - 2026)
UiPath's Income Taxes Paid came in at $9.24 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 82.0% from $5.08 million a year earlier and up 85.7% from the prior quarter.
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Analysis
UiPath (PATH) Income Taxes Paid (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, UiPath reported Income Taxes Paid of $12.89 million, down 18.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $9.81 million, down 41.3% from FY2025.
- Income Taxes Paid carries a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- Going back by fiscal year, Income Taxes Paid was $16.71 million in FY2025 (+54.4%), $10.82 million in FY2024 (-48.5%), $21 million in FY2023 (+148.4%) and $8.45 million in FY2022 (+87.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Income Taxes Paid since fiscal Q2 2023.
- Year-over-year, Income Taxes Paid increased in three of the last seven quarters, with growth averaging 6.6%.
- The fastest year-over-year change in Income Taxes Paid over five years came in fiscal Q2 2025 (growth of 359.0%), and the weakest in fiscal Q2 2024 (a decline of 93.1%).
- Business Quant data shows PATH's Income Taxes Paid at $4.97 million (Q1 2027), -$2.77 million (Q4 2026) and $1.45 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (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 | -790.34 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 222.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 187.20 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 68.00 Mn |
| 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 | 9.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.24 Mn |
| Apr 30, 2026 | 4.97 Mn |
| Jan 31, 2026 | -2.77 Mn |
| Oct 31, 2025 | 1.45 Mn |
| Jul 31, 2025 | 5.08 Mn |
| Apr 30, 2025 | 6.05 Mn |
| Jan 31, 2025 | 1.01 Mn |
| Oct 31, 2024 | 3.64 Mn |
| Jul 31, 2024 | 4.66 Mn |
| Apr 30, 2024 | 7.39 Mn |
| Jan 31, 2024 | 1.69 Mn |
| Oct 31, 2023 | 1.90 Mn |
| Jul 31, 2023 | 1.02 Mn |
| Apr 30, 2023 | 6.22 Mn |
| Jan 31, 2023 | 1.94 Mn |
| Oct 31, 2022 | 1.45 Mn |
| Jul 31, 2022 | 14.83 Mn |
| Apr 30, 2022 | 2.78 Mn |
| Jan 31, 2022 | 1.77 Mn |
| Oct 31, 2021 | 2.65 Mn |
API Access
UiPath Income Taxes Paid 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=income-taxes-paid&ticker=PATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();