Maison Solutions (MSS) Selling, General & Administrative (2022 - 2026)
Maison Solutions (MSS) reported Selling, General & Administrative of $6 million for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 313.7% from $1.45 million a year earlier and up 99.3% from the prior quarter.
Maison Solutions (MSS) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Maison Solutions' Selling, General & Administrative came in at $13.46 million, up 106.6% year-over-year; for FY2025 (ended Apr 30, 2025), it was $7.89 million, up 89.2% from FY2024.
- Selling, General & Administrative has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 38.0% (FY2022 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $4.17 million in FY2024 (+7.2%), $3.89 million in FY2023 (+29.6%) and $3 million in FY2022.
- The fiscal Q3 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2023.
- Year over year, Selling, General & Administrative has now increased in each of the last eight quarters, with growth averaging 100.7% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2026 (growth of 313.7%); the low point was fiscal Q3 2024 (a decline of 24.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.01 million (Q2 2026), $1.61 million (Q1 2026) and $2.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | - |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 1.43 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | - |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 1.50 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 984.29 Mn |
| 10 | Maison Solutions | 566,397.90 | -4.31 Mn | 7.54 Mn | 6.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 6.00 Mn |
| Oct 31, 2025 | 3.01 Mn |
| Jul 31, 2025 | 1.61 Mn |
| Apr 30, 2025 | 2.84 Mn |
| Jan 31, 2025 | 1.45 Mn |
| Oct 31, 2024 | 2.00 Mn |
| Jul 31, 2024 | 1.60 Mn |
| Apr 30, 2024 | 1.47 Mn |
| Jan 31, 2024 | 1.06 Mn |
| Oct 31, 2023 | 588,251.00 |
| Jul 31, 2023 | 1.06 Mn |
| Apr 30, 2023 | 1.24 Mn |
| Jan 31, 2023 | 1.39 Mn |
| Oct 31, 2022 | 597,221.00 |
| Jul 31, 2022 | 657,628.00 |
Maison Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();