Upay (UPYY) Total Non-Current Liabilities (2023 - 2026)
Upay's Total Non-Current Liabilities was $797,222 in fiscal Q1 2027 (quarter ended May 31, 2026), up 8.8% from $732,843 a year earlier and up 9.0% from the prior quarter.
Upay (UPYY) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Total Non-Current Liabilities at Upay came in at $731,692, up 10.3% from FY2025.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of -15.2% (FY2023 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $663,364 in FY2025 (-34.9%), $1.02 million in FY2024 (-15.2%) and $1.2 million in FY2023.
- The fiscal Q1 2027 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities has increased for five straight quarters, with an average decline of 0.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q2 2026 (growth of 60.7%); the worst was fiscal Q3 2025 (a decline of 55.2%).
- Per Business Quant data, UPYY's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $731,692 (Q4 2026), $689,237 (Q3 2026) and $787,816 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 188.55 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | 1.34 Mn |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Upay | 15.85 Mn | 15.56 Mn | 166,942.00 | 797,222.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 797,222.00 |
| Feb 28, 2026 | 731,692.00 |
| Nov 30, 2025 | 689,237.00 |
| Aug 31, 2025 | 787,816.00 |
| May 31, 2025 | 732,843.00 |
| Feb 28, 2025 | 663,364.00 |
| Nov 30, 2024 | 489,930.00 |
| Aug 31, 2024 | 490,152.00 |
| May 31, 2024 | 625,379.00 |
| Feb 29, 2024 | 1.02 Mn |
| Nov 30, 2023 | 1.09 Mn |
| Aug 31, 2023 | 1.05 Mn |
| May 31, 2023 | 981,753.00 |
| Feb 28, 2023 | 1.20 Mn |
Upay Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=UPYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=UPYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();