Kun Peng International (KPEA) Total Non-Current Liabilities (2020 - 2026)
Kun Peng International (KPEA) posted Total Non-Current Liabilities of $48,548 for fiscal Q2 2026 (quarter ended Mar 31, 2026), down 43.7% from the prior quarter.
Powered by 
Analysis
Kun Peng International (KPEA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Kun Peng International's Total Non-Current Liabilities came in at $34,006, down 72.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -26.5% (FY2020 to FY2025).
- In prior fiscal years, Kun Peng International's Total Non-Current Liabilities was $121,484 in FY2024 (+26.7%), $95,907 in FY2023 (-63.7%), $264,124 in FY2022 (+397.1%) and $53,129 in FY2021 (-66.5%).
- Quarterly Total Non-Current Liabilities has run from a low of $21,815 in fiscal Q3 2021 to a high of $410,846 in fiscal Q3 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last five quarters, with growth averaging 37.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2023, with growth of 621.6%; the weakest was fiscal Q4 2025, with a decline of 72.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Kun Peng International | 9.60 Mn | 9.52 Mn | -5,644.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 48,548.00 |
| Dec 31, 2025 | 86,297.00 |
| Sep 30, 2025 | 34,006.00 |
| Dec 31, 2024 | 37,170.00 |
| Sep 30, 2024 | 121,484.00 |
| Jun 30, 2024 | 410,846.00 |
| Dec 31, 2023 | 77,088.00 |
| Sep 30, 2023 | 95,907.00 |
| Jun 30, 2023 | 164,224.00 |
| Mar 31, 2023 | 126,914.00 |
| Dec 31, 2022 | 266,557.00 |
| Sep 30, 2022 | 264,124.00 |
| Jun 30, 2022 | 320,846.00 |
| Mar 31, 2022 | 336,743.00 |
| Dec 31, 2021 | 36,940.00 |
| Sep 30, 2021 | 53,129.00 |
| Jun 30, 2021 | 21,815.00 |
| Sep 30, 2020 | 158,376.00 |
API Access
Kun Peng International 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=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "KPEA", "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=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();