KEEMO Fashion (KMFG) Net Margin (2023 - 2025)
KEEMO Fashion (KMFG) reported Net Margin of -219.62% for FY2025 (year ended Jul 31, 2025), down 23.19 percentage points from -196.43% in FY2024.
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Analysis
KEEMO Fashion (KMFG) Net Margin (2023 - 2025) Analysis & Trends
Dating back to FY2022, KEEMO Fashion's Net Margin record includes 4 fiscal years.
- Net Margin has declined for three consecutive fiscal years, with a three-year change of -113.62 percentage points (FY2022 to FY2025).
- According to Business Quant data, Net Margin came in at -196.43% in FY2024 (-65.44 pp), -130.99% in FY2023 (-24.99 pp) and -106.00% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 31.23% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 9.24% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 13.59% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.07% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 14.62% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 4.20% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 13.25% |
| 10 | KEEMO Fashion | 13.75 Mn | 13.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | -82.71% |
| Jan 31, 2025 | -204.59% |
| Oct 31, 2024 | -169.85% |
| Jul 31, 2024 | -196.94% |
| Apr 30, 2024 | -90.49% |
| Jan 31, 2024 | -42.35% |
| Oct 31, 2023 | -396.98% |
| Jul 31, 2023 | -109.84% |
| Apr 30, 2023 | -56.21% |
| Jan 31, 2023 | -136.16% |
API Access
KEEMO Fashion 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=KMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "KMFG", "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=KMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();