Maison Solutions (MSS) Price to Book (2023 - 2026)
Maison Solutions' Price to Book was 1.01 in fiscal Q3 2026 (quarter ended Jan 31, 2026), down 36.7% from 1.60 a year earlier and down 25.2% from the prior quarter.
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Analysis
Maison Solutions (MSS) Price to Book (2023 - 2026) Analysis & Trends
For FY2025 (ended Apr 30, 2025), Price to Book at Maison Solutions came in at 1.50, down 14.1% from FY2024.
- In earlier fiscal years, Price to Book was 1.74 in FY2024.
- The fiscal Q3 2026 figure marks the lowest quarterly Price to Book in data going back to fiscal Q2 2024.
- Compared with a year earlier, Price to Book has declined for four straight quarters, with an average decline of 18.1% over the last six quarters.
- Per Business Quant data, MSS's Price to Book in the three fiscal quarters before Q3 2026 was 1.35 (Q2 2026), 1.52 (Q1 2026) and 1.50 (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 | 1.01 |
| Oct 31, 2025 | 1.35 |
| Jul 31, 2025 | 1.52 |
| Apr 30, 2025 | 1.50 |
| Jan 31, 2025 | 1.60 |
| Oct 31, 2024 | 1.43 |
| Jul 31, 2024 | 1.65 |
| Apr 30, 2024 | 1.74 |
| Jan 31, 2024 | 1.15 |
| Oct 31, 2023 | 9.51 |
API Access
Maison Solutions Price to Book 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=price-to-book&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();