Kun Peng International (KPEA) Other Operating Expenses (2010 - 2026)
Kun Peng International (KPEA) recorded Other Operating Expenses of $59,777 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 73.8% from $228,126 a year earlier and down 48.0% from the prior quarter.
Kun Peng International (KPEA) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Kun Peng International's Other Operating Expenses came in at $496,954 as of Jun 30, 2026, down 68.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.19 million, down 28.3% from FY2024.
- Annual Other Operating Expenses has declined for three straight fiscal years, though with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $1.66 million in FY2024 (-50.1%), $3.32 million in FY2023 (-50.1%), $6.64 million in FY2022 (+77.5%) and $3.74 million in FY2021 (+633.9%).
- The fiscal Q3 2026 figure is the lowest quarterly Other Operating Expenses since fiscal Q3 2020.
- On a year-over-year basis, Other Operating Expenses has declined for five consecutive quarters, with an average decline of 41.4% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 740.6% in fiscal Q1 2022, against a decline of 80.6% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $115,055 (Q2 2026), $129,310 (Q1 2026) and $192,812 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Kun Peng International | 13.20 Mn | 13.12 Mn | -5,644.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59,777.00 |
| Mar 31, 2026 | 115,055.00 |
| Dec 31, 2025 | 129,310.00 |
| Sep 30, 2025 | 192,812.00 |
| Jun 30, 2025 | 228,126.00 |
| Mar 31, 2025 | 512,908.00 |
| Dec 31, 2024 | 346,489.00 |
| Sep 30, 2024 | 480,198.00 |
| Jun 30, 2024 | 422,612.00 |
| Mar 31, 2024 | 320,226.00 |
| Dec 31, 2023 | 431,988.00 |
| Sep 30, 2023 | 993,284.00 |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 363,366.00 |
| Dec 31, 2022 | 728,792.00 |
| Sep 30, 2022 | 740,293.00 |
| Jun 30, 2022 | 767,506.00 |
| Mar 31, 2022 | 1.87 Mn |
| Dec 31, 2021 | 3.27 Mn |
| Sep 30, 2021 | 1.42 Mn |
Kun Peng International Other Operating 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-operating-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();