Maison Solutions (MSS) Depreciation & Amortization (CF) (2022 - 2026)
Maison Solutions (MSS) reported Depreciation & Amortization (CF) of $219,482 for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 12.9% from $252,050 a year earlier and down 0.6% from the prior quarter.
Maison Solutions (MSS) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Maison Solutions' Depreciation & Amortization (CF) came in at $916,893, down 5.2% year-over-year; for FY2025 (ended Apr 30, 2025), it came in at $1.04 million, up 124.2% from FY2024.
- Depreciation & Amortization (CF) has a three-year compound annual growth rate of 33.3% (FY2022 to FY2025).
- By fiscal year, Depreciation & Amortization (CF) came in at $461,868 in FY2024 (+24.3%), $371,696 in FY2023 (-15.0%) and $437,408 in FY2022.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since fiscal Q4 2024.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last three quarters, with growth averaging 113.6% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q2 2025 (growth of 332.9%); the low point was fiscal Q1 2024 (a decline of 52.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $220,760 (Q2 2026), $220,759 (Q1 2026) and $255,892 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 3.93 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 883.00 Mn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 737.00 Mn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 252.00 Mn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 277.50 Mn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 115.99 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 179.80 Mn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 118.00 Mn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 130.85 Mn |
| 10 | Maison Solutions | 637,693.56 | -4.09 Mn | 7.54 Mn | 219,482.00 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 219,482.00 |
| Oct 31, 2025 | 220,760.00 |
| Jul 31, 2025 | 220,759.00 |
| Apr 30, 2025 | 255,892.00 |
| Jan 31, 2025 | 252,050.00 |
| Oct 31, 2024 | 260,648.00 |
| Jul 31, 2024 | 266,895.00 |
| Apr 30, 2024 | 187,392.00 |
| Jan 31, 2024 | 147,025.00 |
| Oct 31, 2023 | 60,215.00 |
| Jul 31, 2023 | 67,236.00 |
| Apr 30, 2023 | 59,147.00 |
| Jan 31, 2023 | 67,701.00 |
| Oct 31, 2022 | 103,350.00 |
| Jul 31, 2022 | 141,498.00 |
Maison Solutions Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();