Kun Peng International (KPEA) Property, Plant & Equipment (Net) (2013 - 2026)
Kun Peng International's Property, Plant & Equipment (Net) came in at $35,706 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 77.7% from $159,984 a year earlier and down 6.7% from the prior quarter.
Kun Peng International (KPEA) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Kun Peng International's Property, Plant & Equipment (Net) was $118,508, down 59.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $292,198 in FY2024 (+302.7%), $72,552 in FY2023 (-45.9%), $134,023 in FY2022 (+95.0%) and $68,725 in FY2021 (-2.0%).
- The fiscal Q3 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2020.
- Year-over-year, Property, Plant & Equipment (Net) has declined for five consecutive quarters, with growth averaging 25.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q3 2024 (growth of 565.9%), and the weakest in fiscal Q2 2026 (a decline of 80.2%).
- Business Quant data shows KPEA's Property, Plant & Equipment (Net) at $38,274 (Q2 2026), $83,726 (Q1 2026) and $118,508 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Kun Peng International | 17.20 Mn | 17.12 Mn | -5,644.00 | 35,706.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35,706.00 |
| Mar 31, 2026 | 38,274.00 |
| Dec 31, 2025 | 83,726.00 |
| Sep 30, 2025 | 118,508.00 |
| Jun 30, 2025 | 159,984.00 |
| Mar 31, 2025 | 193,708.00 |
| Dec 31, 2024 | 275,568.00 |
| Sep 30, 2024 | 292,198.00 |
| Jun 30, 2024 | 578,972.00 |
| Mar 31, 2024 | 98,053.00 |
| Dec 31, 2023 | 106,529.00 |
| Sep 30, 2023 | 72,552.00 |
| Jun 30, 2023 | 86,946.00 |
| Mar 31, 2023 | 107,493.00 |
| Dec 31, 2022 | 122,652.00 |
| Sep 30, 2022 | 134,023.00 |
| Jun 30, 2022 | 111,052.00 |
| Mar 31, 2022 | 41,599.00 |
| Dec 31, 2021 | 65,898.00 |
| Sep 30, 2021 | 68,725.00 |
Kun Peng International Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=KPEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();