Kun Peng International (KPEA) Change in Accured Expenses (2010 - 2026)
Kun Peng International's Change in Accured Expenses came in at $28,840 for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$81,678 a year earlier and up 2.1% from the prior quarter.
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Analysis
Kun Peng International (KPEA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kun Peng International reported Change in Accured Expenses of $2.56 million; for FY2025 (ended Sep 30, 2025), it was $3.59 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 111.0% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was -$1.72 million in FY2024, $671,836 in FY2023 (+161.3%), $257,078 in FY2022 and $12,323 in FY2021 (-85.7%).
- The five-year range for quarterly Change in Accured Expenses is -$2.23 million (fiscal Q4 2024) to $2.44 million (fiscal Q4 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 33.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2025 (growth of 262.7%), and the weakest in fiscal Q2 2026 (a decline of 97.6%).
- Business Quant data shows KPEA's Change in Accured Expenses at $28,233 (Q2 2026), $69,163 (Q1 2026) and $2.44 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Kun Peng International | 17.20 Mn | 17.12 Mn | -5,644.00 | 28,840.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28,840.00 |
| Mar 31, 2026 | 28,233.00 |
| Dec 31, 2025 | 69,163.00 |
| Sep 30, 2025 | 2.44 Mn |
| Jun 30, 2025 | -81,678.00 |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 54,724.00 |
| Sep 30, 2024 | -2.23 Mn |
| Jun 30, 2024 | 55,739.00 |
| Mar 31, 2024 | 325,170.00 |
| Dec 31, 2023 | 129,702.00 |
| Sep 30, 2023 | 510,289.00 |
| Jun 30, 2023 | -31,028.00 |
| Mar 31, 2023 | 200,042.00 |
| Dec 31, 2022 | -7,467.00 |
| Sep 30, 2022 | 958,144.00 |
| Jun 30, 2022 | 6,440.00 |
| Mar 31, 2022 | -693,570.00 |
| Dec 31, 2021 | -13,936.00 |
| Sep 30, 2021 | 17,631.00 |
API Access
Kun Peng International Change in Accured 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=change-in-accured-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();