KEEMO Fashion (KMFG) Change in Accured Expenses (2022 - 2026)
KEEMO Fashion's Change in Accured Expenses was -$5,630 in fiscal Q2 2026 (quarter ended Jan 31, 2026).
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Analysis
KEEMO Fashion (KMFG) Change in Accured Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, KEEMO Fashion's Change in Accured Expenses was -$2,706 through Jan 31, 2026; for FY2025 (ended Jul 31, 2025), it was $1,265.
- Change in Accured Expenses shows a three-year compound annual growth rate of -45.5% (FY2022 to FY2025).
- In earlier fiscal years, Change in Accured Expenses was -$1,800 in FY2024, $1,500 in FY2023 (-80.8%) and $7,800 in FY2022.
- The fiscal Q2 2026 figure marks the lowest quarterly Change in Accured Expenses since fiscal Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | KEEMO Fashion | 13.75 Mn | 13.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -5,630.00 |
| Oct 31, 2025 | -2,641.00 |
| Jul 31, 2025 | 5,565.00 |
| Oct 31, 2024 | -4,300.00 |
| Jul 31, 2024 | 4,300.00 |
| Oct 31, 2023 | -6,100.00 |
| Jul 31, 2023 | 2,900.00 |
| Apr 30, 2023 | -450.00 |
| Jan 31, 2023 | -400.00 |
| Oct 31, 2022 | -550.00 |
API Access
KEEMO Fashion Change in Accured Expenses 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=change-in-accured-expenses&ticker=KMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=KMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();