KEEMO Fashion (KMFG) Retained Earnings (2022 - 2026)
KEEMO Fashion's Retained Earnings came in at -$334,237 for fiscal Q3 2026 (quarter ended Mar 31, 2026).
Analysis
KEEMO Fashion (KMFG) Retained Earnings (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), KEEMO Fashion's Retained Earnings was -$114,166.
- Going back by fiscal year, Retained Earnings was -$81,045 in FY2024, -$38,770 in FY2023 and -$16,574 in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Retained Earnings in data going back to fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -3.75 Bn |
| 10 | KEEMO Fashion | 13.75 Mn | 13.68 Mn | - | -334,237.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -334,237.00 |
| Jan 31, 2026 | -297,108.00 |
| Oct 31, 2025 | -279,305.00 |
| Jul 31, 2025 | -114,166.00 |
| Apr 30, 2025 | -103,938.00 |
| Jan 31, 2025 | -99,700.00 |
| Oct 31, 2024 | -89,446.00 |
| Jul 31, 2024 | -81,045.00 |
| Apr 30, 2024 | -71,269.00 |
| Jan 31, 2024 | -66,797.00 |
| Oct 31, 2023 | -64,637.00 |
| Jul 31, 2023 | -38,770.00 |
| Apr 30, 2023 | -31,133.00 |
| Jul 31, 2022 | -16,574.00 |
API Access
KEEMO Fashion Retained Earnings 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=retained-earnings&ticker=KMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=KMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();