Kun Peng International (KPEA) Revenue (2013 - 2026)
Kun Peng International's Revenue was $31,438 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 70.8% from $107,802 a year earlier but up 40.0% from the prior quarter.
Kun Peng International (KPEA) Revenue (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kun Peng International's Revenue was $593,235 through Jun 30, 2026, down 61.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.44 million, down 30.8% from FY2024.
- Revenue has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $2.08 million in FY2024 (-46.9%), $3.92 million in FY2023 (-47.8%), $7.51 million in FY2022 (+34.4%) and $5.59 million in FY2021 (+582.1%).
- Quarterly Revenue has moved between $22,452 (fiscal Q2 2026) and $4.67 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Revenue has declined for five straight quarters, with an average decline of 47.2% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2022 (growth of 755.3%); the worst was fiscal Q2 2026 (a decline of 96.3%).
- Per Business Quant data, KPEA's Revenue in the three fiscal quarters before Q3 2026 was $22,452 (Q2 2026), $174,824 (Q1 2026) and $364,521 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,817.55 Bn | 2,334.24 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 311.72 Bn | 304.96 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 162.27 Bn | 139.82 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 109.59 Bn | 102.55 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.36 Bn | 58.28 Bn | 2.12 Bn | 6.26 Bn |
| 6 | O Reilly Automotive | 73.34 Bn | 72.43 Bn | 2.52 Bn | 4.89 Bn |
| 7 | Target | 69.83 Bn | 64.41 Bn | 8.94 Bn | 26.54 Bn |
| 8 | Autozone | 51.64 Bn | 50.54 Bn | 2.52 Bn | 4.84 Bn |
| 9 | Carvana | 43.37 Bn | 33.86 Bn | 1.38 Bn | 7.38 Bn |
| 10 | Kun Peng International | 15.60 Mn | 15.52 Mn | -5,644.00 | 31,438.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31,438.00 |
| Mar 31, 2026 | 22,452.00 |
| Dec 31, 2025 | 174,824.00 |
| Sep 30, 2025 | 364,521.00 |
| Jun 30, 2025 | 107,802.00 |
| Mar 31, 2025 | 609,285.00 |
| Dec 31, 2024 | 356,519.00 |
| Sep 30, 2024 | 480,013.00 |
| Jun 30, 2024 | 672,062.00 |
| Mar 31, 2024 | 364,508.00 |
| Dec 31, 2023 | 562,158.00 |
| Sep 30, 2023 | 2.69 Mn |
| Jun 30, 2023 | 460,643.00 |
| Mar 31, 2023 | 318,951.00 |
| Dec 31, 2022 | 452,118.00 |
| Sep 30, 2022 | 179,291.00 |
| Jun 30, 2022 | 642,596.00 |
| Mar 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 4.67 Mn |
| Sep 30, 2021 | 2.96 Mn |
Kun Peng International Revenue 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=revenue&ticker=KPEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();