Kun Peng International (KPEA) Total Current Liabilities (2013 - 2026)
Kun Peng International (KPEA) reported Total Current Liabilities of $9.99 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.9% from $8.7 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Kun Peng International (KPEA) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Kun Peng International posted Total Current Liabilities of $8.99 million, up 5.2% from FY2024.
- Total Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 60.0% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $8.55 million in FY2024 (+38.2%), $6.19 million in FY2023 (+19.6%), $5.17 million in FY2022 (-0.3%) and $5.19 million in FY2021 (+505.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2013.
- Year over year, Total Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 17.7% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q4 2021 (growth of 505.9%); the low point was fiscal Q4 2022 (a decline of 0.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $9.68 million (Q2 2026), $9.52 million (Q1 2026) and $8.99 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 10.04 Bn |
| 10 | Kun Peng International | 9.60 Mn | 9.52 Mn | -5,644.00 | 9.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.99 Mn |
| Mar 31, 2026 | 9.68 Mn |
| Dec 31, 2025 | 9.52 Mn |
| Sep 30, 2025 | 8.99 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 8.66 Mn |
| Dec 31, 2024 | 8.66 Mn |
| Sep 30, 2024 | 8.55 Mn |
| Jun 30, 2024 | 7.75 Mn |
| Mar 31, 2024 | 7.18 Mn |
| Dec 31, 2023 | 6.72 Mn |
| Sep 30, 2023 | 6.19 Mn |
| Jun 30, 2023 | 7.67 Mn |
| Mar 31, 2023 | 6.19 Mn |
| Dec 31, 2022 | 5.72 Mn |
| Sep 30, 2022 | 5.17 Mn |
| Jun 30, 2022 | 4.30 Mn |
| Mar 31, 2022 | 4.71 Mn |
| Dec 31, 2021 | 5.31 Mn |
| Sep 30, 2021 | 5.19 Mn |
API Access
Kun Peng International Total 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-current-liabilities&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();