Upay (UPYY) Non Operating Interest Expenses (2020 - 2026)
Upay (UPYY) reported Non Operating Interest Expenses of $12,877 for fiscal Q1 2027 (quarter ended May 31, 2026), up 10.6% from $11,642 a year earlier and up 14.6% from the prior quarter.
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Analysis
Upay (UPYY) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Upay's Non Operating Interest Expenses came in at $51,070, up 35.3% year-over-year; for FY2026 (ended Feb 28, 2026), it was $49,835, up 43.9% from FY2025.
- Non Operating Interest Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 44.0% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $34,641 in FY2025 (+3.6%), $33,430 in FY2024 (+1.7%), $32,870 in FY2023 (+111.0%) and $15,580 in FY2022 (+93.4%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $4,225 in fiscal Q3 2022 and a high of $13,627 in fiscal Q2 2026.
- Year over year, Non Operating Interest Expenses has now increased in each of the last seven quarters, with growth averaging 25.2% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2022 (growth of 104.9%); the low point was fiscal Q2 2025 (a decline of 4.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $11,240 (Q4 2026), $13,326 (Q3 2026) and $13,627 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | 12,877.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12,877.00 |
| Feb 28, 2026 | 11,240.00 |
| Nov 30, 2025 | 13,326.00 |
| Aug 31, 2025 | 13,627.00 |
| 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 | 8,399.00 |
| Nov 30, 2023 | 8,327.00 |
| Aug 31, 2023 | 8,384.00 |
| May 31, 2023 | 8,320.00 |
| Feb 28, 2023 | 8,294.00 |
| Nov 30, 2022 | 8,169.00 |
| Aug 31, 2022 | 8,371.00 |
| May 31, 2022 | 8,036.00 |
| Feb 28, 2022 | 5,000.00 |
| Nov 30, 2021 | 4,225.00 |
| Aug 31, 2021 | 4,574.00 |
API Access
Upay Non Operating Interest 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=non-operating-interest-expenses&ticker=UPYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();