Kun Peng International (KPEA) Enterprise Value (2021 - 2026)
Kun Peng International (KPEA) reported Enterprise Value of $15.19 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 94.2% from $263.94 million a year earlier and down 90.5% from the prior quarter.
Kun Peng International (KPEA) Enterprise Value (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kun Peng International's Enterprise Value came in at $15.12 million, down 94.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $311.97 million, down 37.6% from FY2024.
- Enterprise Value has a four-year compound annual growth rate of 21.8% (FY2021 to FY2025).
- By fiscal year, Enterprise Value came in at $499.91 million in FY2024 (-40.4%), $839.26 million in FY2023 (+50.0%), $559.45 million in FY2022 (+294.6%) and $141.78 million in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Enterprise Value in data going back to fiscal Q3 2021.
- Year over year, Enterprise Value has now declined in each of the last 11 quarters, with an average decline of 45.8% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q1 2023 (growth of 500.4%); the low point was fiscal Q3 2026 (a decline of 94.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $159.98 million (Q2 2026), $199.97 million (Q1 2026) and $311.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Kun Peng International | 9.60 Mn | 9.52 Mn | -5,644.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.19 Mn |
| Mar 31, 2026 | 159.98 Mn |
| Dec 31, 2025 | 199.97 Mn |
| Sep 30, 2025 | 311.97 Mn |
| Jun 30, 2025 | 263.94 Mn |
| Mar 31, 2025 | 399.97 Mn |
| Dec 31, 2024 | 319.78 Mn |
| Sep 30, 2024 | 499.91 Mn |
| Jun 30, 2024 | 435.39 Mn |
| Mar 31, 2024 | 455.66 Mn |
| Dec 31, 2023 | 579.58 Mn |
| Sep 30, 2023 | 839.26 Mn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 871.69 Mn |
| Sep 30, 2022 | 559.45 Mn |
| Jun 30, 2022 | 635.51 Mn |
| Mar 31, 2022 | 398.66 Mn |
| Dec 31, 2021 | 145.18 Mn |
| Sep 30, 2021 | 141.78 Mn |
Kun Peng International Enterprise Value 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=enterprise-value&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();