Upay (UPYY) Income Taxes Paid (2020 - 2026)
Upay's Income Taxes Paid came in at $13,360 for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 2.0% from $13,093 a year earlier and up 3.8% from the prior quarter.
Upay (UPYY) Income Taxes Paid (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Upay reported Income Taxes Paid of $51,337, up 19.9% year-over-year; for FY2026 (ended Feb 28, 2026), it was $49,835, up 43.9% from FY2025.
- Income Taxes Paid has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 4.8% (FY2022 to FY2026).
- Going back by fiscal year, Income Taxes Paid was $34,641 in FY2025 (+0.8%), $34,381 in FY2024 (+4.6%), $32,870 in FY2023 (-20.4%) and $41,299 in FY2022.
- The five-year range for quarterly Income Taxes Paid is -$16,407 (fiscal Q3 2023) to $32,870 (fiscal Q4 2023).
- Year-over-year, Income Taxes Paid has increased for eight consecutive quarters, with growth averaging 24.5% over the last eight quarters.
- The fastest year-over-year change in Income Taxes Paid over five years came in fiscal Q2 2026 (growth of 63.0%), and the weakest in fiscal Q4 2024 (a decline of 71.6%).
- Business Quant data shows UPYY's Income Taxes Paid at $12,877 (Q1 2027), $11,240 (Q4 2026) and $13,860 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | - |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | -971.73 Mn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 222.00 Mn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | 92.00 Mn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | 544.60 Mn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | - |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | -35.00 Mn |
| 10 | Upay | 16.80 Mn | 16.43 Mn | 186,110.00 | 13,360.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 13,360.00 |
| May 31, 2026 | 12,877.00 |
| Feb 28, 2026 | 11,240.00 |
| Nov 30, 2025 | 13,860.00 |
| Aug 31, 2025 | 13,093.00 |
| May 31, 2025 | 11,642.00 |
| Feb 28, 2025 | 9,421.00 |
| Nov 30, 2024 | 8,650.00 |
| Aug 31, 2024 | 8,034.00 |
| May 31, 2024 | 8,536.00 |
| Feb 29, 2024 | 9,350.00 |
| Nov 30, 2023 | 8,327.00 |
| Aug 31, 2023 | 8,384.00 |
| May 31, 2023 | 8,320.00 |
| Feb 28, 2023 | 32,870.00 |
| Nov 30, 2022 | -16,407.00 |
| Aug 31, 2022 | 8,371.00 |
| May 31, 2022 | 8,036.00 |
| May 31, 2020 | 908.00 |
Upay 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=UPYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();