Upay (UPYY) Shares Outstanding (Diluted) (2020 - 2026)
Upay's Shares Outstanding (Diluted) was 17.29 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 2.9% from 16.8 million a year earlier and up 0.1% from the prior quarter.
Upay (UPYY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Shares Outstanding (Diluted) at Upay came in at 17.27 million, up 6.8% from FY2025.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 16.18 million in FY2025 (-3.9%), 16.84 million in FY2024 (-1.9%), 17.16 million in FY2023 (-28.2%) and 23.9 million in FY2022 (+2.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Shares Outstanding (Diluted) since fiscal Q2 2024.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for five straight quarters, with growth averaging 1.6% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q4 2026 (growth of 6.8%); the worst was fiscal Q4 2023 (a decline of 28.2%).
- Per Business Quant data, UPYY's Shares Outstanding (Diluted) in the three fiscal quarters before Q1 2027 was 17.27 million (Q4 2026), 17.12 million (Q3 2026) and 16.85 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.00 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | 1.84 Bn |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | 17.29 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.29 Mn |
| Feb 28, 2026 | 17.27 Mn |
| Nov 30, 2025 | 17.12 Mn |
| Aug 31, 2025 | 16.85 Mn |
| May 31, 2025 | 16.80 Mn |
| Feb 28, 2025 | 16.18 Mn |
| Nov 30, 2024 | 16.74 Mn |
| Aug 31, 2024 | 16.47 Mn |
| May 31, 2024 | 16.11 Mn |
| Feb 29, 2024 | 16.84 Mn |
| Nov 30, 2023 | 16.24 Mn |
| Aug 31, 2023 | 17.36 Mn |
| May 31, 2023 | 17.19 Mn |
| Feb 28, 2023 | 17.16 Mn |
| Nov 30, 2022 | 17.16 Mn |
| Aug 31, 2022 | 17.16 Mn |
| May 31, 2022 | 17.16 Mn |
| Feb 28, 2022 | 23.90 Mn |
| Nov 30, 2021 | 23.26 Mn |
| Aug 31, 2021 | 23.26 Mn |
Upay Shares Outstanding (Diluted) 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-diluted&ticker=UPYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "UPYY", "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-diluted&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();