Maison Solutions (MSS) Revenue (2022 - 2026)
Maison Solutions (MSS) recorded Revenue of $29.54 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), down 8.6% from $32.32 million a year earlier but up 7.0% from the prior quarter.
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Analysis
Maison Solutions (MSS) Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, Maison Solutions' Revenue came in at $118.7 million as of Jan 31, 2026, up 11.2% year-over-year; for FY2025 (ended Apr 30, 2025), it was $124.22 million, up 114.0% from FY2024.
- Annual Revenue has increased for three straight fiscal years, with a three-year compound annual growth rate of 43.6% (FY2022 to FY2025).
- Across earlier fiscal years, Revenue came in at $58.04 million in FY2024 (+4.8%), $55.4 million in FY2023 (+32.0%) and $41.98 million in FY2022.
- Quarterly Revenue has ranged from $11.41 million in fiscal Q1 2023 to $34.37 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has declined for three consecutive quarters, with growth averaging 57.5% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 137.7% in fiscal Q3 2025, against a decline of 13.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $27.62 million (Q2 2026), $27.17 million (Q1 2026) and $34.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Maison Solutions | 1.01 Mn | -3.86 Mn | 7.54 Mn | 29.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 29.54 Mn |
| Oct 31, 2025 | 27.62 Mn |
| Jul 31, 2025 | 27.17 Mn |
| Apr 30, 2025 | 34.37 Mn |
| Jan 31, 2025 | 32.32 Mn |
| Oct 31, 2024 | 29.35 Mn |
| Jul 31, 2024 | 28.18 Mn |
| Apr 30, 2024 | 16.93 Mn |
| Jan 31, 2024 | 13.60 Mn |
| Oct 31, 2023 | 13.77 Mn |
| Jul 31, 2023 | 13.75 Mn |
| Apr 30, 2023 | 14.18 Mn |
| Jan 31, 2023 | 15.64 Mn |
| Oct 31, 2022 | 14.17 Mn |
| Jul 31, 2022 | 11.41 Mn |
API Access
Maison Solutions Revenue 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=revenue&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();