UiPath (PATH) Shares Outstanding (2020 - 2026)
UiPath (PATH) recorded Weighted Average Shares Outstanding of 519.65 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.1% from 536.17 million a year earlier and down 0.8% from the prior quarter.
UiPath (PATH) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), UiPath reported Weighted Average Shares Outstanding of 538.13 million, down 3.9% from FY2025.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 26.2% (FY2021 to FY2026).
- Across earlier fiscal years, Weighted Average Shares Outstanding came in at 559.93 million in FY2025 (-0.7%), 563.86 million in FY2024 (+2.9%), 548.02 million in FY2023 (+20.5%) and 454.63 million in FY2022 (+170.2%).
- The fiscal Q2 2027 figure is the lowest quarterly Weighted Average Shares Outstanding since fiscal Q4 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for eight consecutive quarters, with an average decline of 3.5% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 210.4% in fiscal Q3 2022, against a decline of 5.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 523.58 million (Q1 2027), 538.13 million (Q4 2026) and 532.26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 2.97 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.83 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 400.15 Mn |
| 10 | UiPath | 6.75 Bn | 1.28 Bn | 329.67 Mn | 519.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 519.65 Mn |
| Apr 30, 2026 | 523.58 Mn |
| Jan 31, 2026 | 538.13 Mn |
| Oct 31, 2025 | 532.26 Mn |
| Jul 31, 2025 | 536.17 Mn |
| Apr 30, 2025 | 548.45 Mn |
| Jan 31, 2025 | 559.93 Mn |
| Oct 31, 2024 | 551.04 Mn |
| Jul 31, 2024 | 568.04 Mn |
| Apr 30, 2024 | 569.93 Mn |
| Jan 31, 2024 | 563.86 Mn |
| Oct 31, 2023 | 567.04 Mn |
| Jul 31, 2023 | 562.88 Mn |
| Apr 30, 2023 | 557.88 Mn |
| Jan 31, 2023 | 548.02 Mn |
| Oct 31, 2022 | 550.16 Mn |
| Jul 31, 2022 | 546.06 Mn |
| Apr 30, 2022 | 541.90 Mn |
| Jan 31, 2022 | 454.63 Mn |
| Oct 31, 2021 | 531.72 Mn |
UiPath Shares Outstanding 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=shares-outstanding&ticker=PATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=PATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();