Kun Peng International (KPEA) Non-Current Assets (2013 - 2026)
Kun Peng International (KPEA) recorded Non-Current Assets of $42,610 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 88.9% from $383,611 a year earlier and down 84.2% from the prior quarter.
Kun Peng International (KPEA) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Kun Peng International reported Non-Current Assets of $341,362, down 63.3% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Assets came in at $930,668 in FY2024 (+55.1%), $600,029 in FY2023 (-30.5%), $863,139 in FY2022 (+144.0%) and $353,759 in FY2021 (-36.8%).
- The fiscal Q3 2026 figure is the lowest quarterly Non-Current Assets since fiscal Q3 2020.
- On a year-over-year basis, Non-Current Assets has declined for five consecutive quarters, with an average decline of 26.8% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 201.6% in fiscal Q1 2023, against a decline of 88.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $269,188 (Q2 2026), $405,407 (Q1 2026) and $341,362 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Kun Peng International | 9.60 Mn | 9.52 Mn | -5,644.00 | 42,610.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42,610.00 |
| Mar 31, 2026 | 269,188.00 |
| Dec 31, 2025 | 405,407.00 |
| Sep 30, 2025 | 341,362.00 |
| Jun 30, 2025 | 383,611.00 |
| Mar 31, 2025 | 476,071.00 |
| Dec 31, 2024 | 748,729.00 |
| Sep 30, 2024 | 930,668.00 |
| Jun 30, 2024 | 932,749.00 |
| Mar 31, 2024 | 474,184.00 |
| Dec 31, 2023 | 574,323.00 |
| Sep 30, 2023 | 600,029.00 |
| Jun 30, 2023 | 653,785.00 |
| Mar 31, 2023 | 683,348.00 |
| Dec 31, 2022 | 798,564.00 |
| Sep 30, 2022 | 863,139.00 |
| Jun 30, 2022 | 773,691.00 |
| Mar 31, 2022 | 772,916.00 |
| Dec 31, 2021 | 264,733.00 |
| Sep 30, 2021 | 353,759.00 |
Kun Peng International Non-Current Assets 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=non-current-assets&ticker=KPEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();