Upay (UPYY) Exchange Rate Effect (2020 - 2026)
Upay's Exchange Rate Effect came in at -$4,176 for fiscal Q1 2027 (quarter ended May 31, 2026), compared with -$1,065 a year earlier.
Upay (UPYY) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Upay reported Exchange Rate Effect of $7,838, down 34.9% year-over-year; for FY2026 (ended Feb 28, 2026), it was $10,949, down 59.7% from FY2025.
- Exchange Rate Effect carries a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was $27,190 in FY2025, -$36,754 in FY2024, -$154,363 in FY2023 and -$20,125 in FY2022.
- The fiscal Q1 2027 figure represents the lowest quarterly Exchange Rate Effect since fiscal Q4 2024.
- Business Quant data shows UPYY's Exchange Rate Effect at $8,676 (Q4 2026), $2,519 (Q3 2026) and $819.00 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | -4,176.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -4,176.00 |
| Feb 28, 2026 | 8,676.00 |
| Nov 30, 2025 | 2,519.00 |
| Aug 31, 2025 | 819.00 |
| May 31, 2025 | -1,065.00 |
| Feb 28, 2025 | -3,536.00 |
| Nov 30, 2024 | 670.00 |
| Aug 31, 2024 | 15,976.00 |
| May 31, 2024 | 14,080.00 |
| Feb 29, 2024 | -16,615.00 |
| Nov 30, 2023 | -9,128.00 |
| Aug 31, 2023 | 25,635.00 |
| May 31, 2023 | -36,646.00 |
| Feb 28, 2023 | -73,473.00 |
| Nov 30, 2022 | -27,715.00 |
| Aug 31, 2022 | -59,115.00 |
| May 31, 2022 | 5,940.00 |
| Feb 28, 2022 | -3,303.00 |
| Nov 30, 2021 | -15,816.00 |
| Aug 31, 2021 | -5,502.00 |
Upay Exchange Rate Effect 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=exchange-rate-effect&ticker=UPYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();