Kun Peng International (KPEA) Other Accumulated Expenses (2013 - 2026)
Kun Peng International's Other Accumulated Expenses was $8.05 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 92.2% from $4.19 million a year earlier but down 17.9% from the prior quarter.
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Analysis
Kun Peng International (KPEA) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Accumulated Expenses at Kun Peng International came in at $9.08 million, up 123.0% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 104.7% (FY2020 to FY2025).
- In earlier fiscal years, Other Accumulated Expenses was $4.07 million in FY2024, $84,069 in FY2023 (-88.6%), $739,190 in FY2022 and $39,629 in FY2021 (-84.3%).
- Quarterly Other Accumulated Expenses has moved between $39,629 (fiscal Q4 2021) and $9.82 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for six straight quarters, with growth averaging 180.4% over the last six quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q2 2025 (growth of 665.1%); the worst was fiscal Q4 2023 (a decline of 88.6%).
- Per Business Quant data, KPEA's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $9.82 million (Q2 2026), $9.59 million (Q1 2026) and $9.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 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 |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Kun Peng International | 17.20 Mn | 17.12 Mn | -5,644.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.05 Mn |
| Mar 31, 2026 | 9.82 Mn |
| Dec 31, 2025 | 9.59 Mn |
| Sep 30, 2025 | 9.08 Mn |
| Jun 30, 2025 | 4.19 Mn |
| Mar 31, 2025 | 4.12 Mn |
| Dec 31, 2024 | 8.24 Mn |
| Sep 30, 2024 | 4.07 Mn |
| Jun 30, 2024 | 2.84 Mn |
| Mar 31, 2024 | 538,146.00 |
| Dec 31, 2023 | 217,230.00 |
| Sep 30, 2023 | 84,069.00 |
| Jun 30, 2023 | 880,504.00 |
| Mar 31, 2023 | 959,949.00 |
| Dec 31, 2022 | 754,648.00 |
| Sep 30, 2022 | 739,190.00 |
| Sep 30, 2021 | 39,629.00 |
| Jun 30, 2021 | 30,966.00 |
| Sep 30, 2020 | 252,606.00 |
| Dec 31, 2017 | 8,384.00 |
API Access
Kun Peng International Other Accumulated 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=other-accumulated-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();