Maison Solutions (MSS) Accumulated Expenses (2023 - 2026)
Maison Solutions' Accumulated Expenses was $3.02 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 76.0% from $1.72 million a year earlier and up 67.1% from the prior quarter.
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Analysis
Maison Solutions (MSS) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Accumulated Expenses at Maison Solutions came in at $1.71 million, up 5.0% from FY2024.
- In earlier fiscal years, Accumulated Expenses was $1.63 million in FY2024 (+87.5%) and $867,796 in FY2023.
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2023.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last five quarters, with growth averaging 40.8%.
- Per Business Quant data, MSS's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $1.81 million (Q2 2026), $2 million (Q1 2026) and $1.71 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Maison Solutions | 1.01 Mn | -3.86 Mn | 7.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3.02 Mn |
| Oct 31, 2025 | 1.81 Mn |
| Jul 31, 2025 | 2.00 Mn |
| Apr 30, 2025 | 1.71 Mn |
| Jan 31, 2025 | 1.72 Mn |
| Oct 31, 2024 | 2.00 Mn |
| Jul 31, 2024 | 1.38 Mn |
| Apr 30, 2024 | 1.63 Mn |
| Apr 30, 2023 | 867,796.00 |
API Access
Maison Solutions Accumulated 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=accumulated-expenses&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();