Upay (UPYY) Operating Expenses (2020 - 2026)
Upay (UPYY) posted Operating Expenses of $269,811 for fiscal Q1 2027 (quarter ended May 31, 2026), up 4.4% from $258,432 a year earlier and up 7.9% from the prior quarter.
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Analysis
Upay (UPYY) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Upay was $1.01 million, up 7.2% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $1 million, up 5.0% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In prior fiscal years, Upay's Operating Expenses was $953,220 in FY2025 (-32.7%), $1.42 million in FY2024 (+62.0%), $874,362 in FY2023 (-31.5%) and $1.28 million in FY2022 (+29.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 6.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2024, with growth of 188.8%; the weakest was fiscal Q4 2025, with a decline of 63.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $250,145 (Q4 2026), $243,433 (Q3 2026) and $249,017 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | 269,811.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 269,811.00 |
| Feb 28, 2026 | 250,145.00 |
| Nov 30, 2025 | 243,433.00 |
| Aug 31, 2025 | 249,017.00 |
| May 31, 2025 | 258,432.00 |
| Feb 28, 2025 | 126,621.00 |
| Nov 30, 2024 | 256,788.00 |
| Aug 31, 2024 | 302,897.00 |
| May 31, 2024 | 266,914.00 |
| Feb 29, 2024 | 349,470.00 |
| Nov 30, 2023 | 493,669.00 |
| Aug 31, 2023 | 373,834.00 |
| May 31, 2023 | 199,505.00 |
| Feb 28, 2023 | 219,413.00 |
| Nov 30, 2022 | 170,923.00 |
| Aug 31, 2022 | 257,421.00 |
| May 31, 2022 | 226,605.00 |
| Feb 28, 2022 | 253,222.00 |
| Nov 30, 2021 | 251,049.00 |
| Aug 31, 2021 | 231,564.00 |
API Access
Upay Operating Expenses 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=operating-expenses&ticker=UPYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();