KEEMO Fashion (KMFG) Cost of Revenue (2023 - 2026)
KEEMO Fashion (KMFG) reported Cost of Revenue of $1.00 for fiscal Q2 2026 (quarter ended Jan 31, 2026), down 100.0% from $2,553 a year earlier.
KEEMO Fashion (KMFG) Cost of Revenue (2023 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, KEEMO Fashion's Cost of Revenue came in at $5,123, down 48.8% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $7,560, down 30.9% from FY2024.
- Cost of Revenue has a three-year compound annual growth rate of -0.3% (FY2022 to FY2025).
- By fiscal year, Cost of Revenue came in at $10,936 in FY2024 (+27.3%), $8,594 in FY2023 (+12.8%) and $7,619 in FY2022.
- The fiscal Q2 2026 figure ranks as the lowest quarterly Cost of Revenue in data going back to fiscal Q2 2023.
- Year over year, Cost of Revenue gained in two of the last six quarters, with an average decline of 27.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | KEEMO Fashion | 13.75 Mn | 13.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 1.00 |
| Apr 30, 2025 | 2,569.00 |
| Jan 31, 2025 | 2,553.00 |
| Oct 31, 2024 | 2,438.00 |
| Jul 31, 2024 | 2,475.00 |
| Apr 30, 2024 | 2,532.00 |
| Jan 31, 2024 | 2,523.00 |
| Oct 31, 2023 | 3,405.00 |
| Jul 31, 2023 | 3,681.00 |
| Apr 30, 2023 | 2,621.00 |
| Jan 31, 2023 | 2,292.00 |
KEEMO Fashion Cost of 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=cost-of-revenue&ticker=KMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();