Kun Peng International (KPEA) Net Margin (2013 - 2026)
Kun Peng International (KPEA) reported Net Margin of -954.61% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 912.99 percentage points from -41.62% a year earlier but up 798.26 percentage points from the prior quarter.
Kun Peng International (KPEA) Net Margin (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kun Peng International's Net Margin came in at -225.78%, down 131.51 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was -87.85%, up 6.99 percentage points from FY2024.
- Net Margin has a five-year change of -61.52 percentage points (FY2020 to FY2025).
- By fiscal year, Net Margin came in at -94.84% in FY2024 (-39.98 pp), -54.86% in FY2023 (-30.46 pp), -24.41% in FY2022 (+4.45 pp) and -28.86% in FY2021 (-2.53 pp).
- Five-year quarterly Net Margin spans a low of -1752.87% in fiscal Q2 2026 and a high of 17.60% in fiscal Q4 2023.
- Year over year, Net Margin gained in four of the last eight quarters, with an average year-over-year change of -335.85 percentage points.
- The high point for year-over-year Net Margin in five years was fiscal Q4 2023 (a gain of 536.53 percentage points); the low point was fiscal Q2 2026 (a drop of 1721.22 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -1752.87% (Q2 2026), -151.91% (Q1 2026) and -104.29% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 31.23% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 9.24% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 13.59% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 7.07% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 14.62% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 4.20% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 13.25% |
| 10 | Kun Peng International | 9.60 Mn | 9.52 Mn | -5,644.00 | -954.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -954.61% |
| Mar 31, 2026 | -1,752.87% |
| Dec 31, 2025 | -151.91% |
| Sep 30, 2025 | -104.29% |
| Jun 30, 2025 | -41.62% |
| Mar 31, 2025 | -31.66% |
| Dec 31, 2024 | -181.05% |
| Sep 30, 2024 | -121.12% |
| Jun 30, 2024 | -43.53% |
| Mar 31, 2024 | -158.30% |
| Dec 31, 2023 | -92.67% |
| Sep 30, 2023 | 17.60% |
| Jun 30, 2023 | -275.57% |
| Mar 31, 2023 | -185.62% |
| Dec 31, 2022 | -168.17% |
| Sep 30, 2022 | -518.93% |
| Jun 30, 2022 | -99.55% |
| Mar 31, 2022 | -28.22% |
| Dec 31, 2021 | 6.57% |
| Sep 30, 2021 | 15.14% |
Kun Peng International Net Margin 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=net-margin&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();