UiPath (PATH) Receivables (2021 - 2026)
UiPath's Receivables was $442.33 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.2% from $387.23 million a year earlier and up 7.8% from the prior quarter.
UiPath (PATH) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables at UiPath came in at $580.71 million, up 7.6% from FY2025.
- Receivables has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 23.0% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $539.87 million in FY2025 (+3.7%), $520.49 million in FY2024 (+17.4%), $443.48 million in FY2023 (+35.7%) and $326.82 million in FY2022 (+58.3%).
- Quarterly Receivables has moved between $257.49 million (fiscal Q1 2023) and $580.71 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables has increased for seven straight quarters, with growth averaging 6.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q4 2022 (growth of 58.3%); the worst was fiscal Q3 2025 (a decline of 2.4%).
- Per Business Quant data, PATH's Receivables in the three fiscal quarters before Q2 2027 was $410.23 million (Q1 2027), $580.71 million (Q4 2026) and $496.09 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | UiPath | 5.58 Bn | 114.07 Mn | 329.67 Mn | 442.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 442.33 Mn |
| Apr 30, 2026 | 410.23 Mn |
| Jan 31, 2026 | 580.71 Mn |
| Oct 31, 2025 | 496.09 Mn |
| Jul 31, 2025 | 387.23 Mn |
| Apr 30, 2025 | 369.77 Mn |
| Jan 31, 2025 | 539.87 Mn |
| Oct 31, 2024 | 446.06 Mn |
| Jul 31, 2024 | 368.81 Mn |
| Apr 30, 2024 | 358.77 Mn |
| Jan 31, 2024 | 520.49 Mn |
| Oct 31, 2023 | 457.26 Mn |
| Jul 31, 2023 | 306.93 Mn |
| Apr 30, 2023 | 301.84 Mn |
| Jan 31, 2023 | 443.48 Mn |
| Oct 31, 2022 | 367.49 Mn |
| Jul 31, 2022 | 288.24 Mn |
| Apr 30, 2022 | 257.49 Mn |
| Jan 31, 2022 | 326.82 Mn |
| Oct 31, 2021 | 260.05 Mn |
UiPath Receivables 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=receivables&ticker=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();