Maison Solutions (MSS) Asset Writedowns and Impairment (2023 - 2026)
Maison Solutions' Asset Writedowns and Impairment was -$31,114 in fiscal Q3 2026 (quarter ended Jan 31, 2026), compared with $27,639 a year earlier.
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Analysis
Maison Solutions (MSS) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maison Solutions' Asset Writedowns and Impairment was $124,992 through Jan 31, 2026, down 63.0% year-over-year; for FY2025 (ended Apr 30, 2025), it was $276,900.
- In earlier fiscal years, Asset Writedowns and Impairment was -$5,961 in FY2024 and -$130,056 in FY2023.
- Quarterly Asset Writedowns and Impairment has moved between -$65,572 (fiscal Q4 2025) and $215,594 (fiscal Q1 2026) over five years.
- Per Business Quant data, MSS's Asset Writedowns and Impairment in the three fiscal quarters before Q3 2026 was $6,084 (Q2 2026), $215,594 (Q1 2026) and -$65,572 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 953.29 Bn | 909.72 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 445.64 Bn | 368.92 Bn | 12.19 Bn |
| 3 | Kroger | 40.41 Bn | 26.56 Bn | 7.86 Bn |
| 4 | Sysco | 39.10 Bn | 33.35 Bn | 4.13 Bn |
| 5 | Dollar General | 29.08 Bn | 23.76 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.85 Bn | 23.85 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.80 Bn | 20.42 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.16 Bn | 21.96 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.62 Bn | 16.78 Bn | 1.68 Bn |
| 10 | Maison Solutions | 632,632.50 | -4.10 Mn | 7.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -31,114.00 |
| Oct 31, 2025 | 6,084.00 |
| Jul 31, 2025 | 215,594.00 |
| Apr 30, 2025 | -65,572.00 |
| Jan 31, 2025 | 27,639.00 |
| Oct 31, 2024 | 110,229.00 |
| Jul 31, 2024 | 204,604.00 |
| Apr 30, 2024 | -4,873.00 |
| Jan 31, 2024 | 2,471.00 |
| Oct 31, 2023 | -322.00 |
| Jul 31, 2023 | -3,237.00 |
API Access
Maison Solutions Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();