Maison Solutions (MSS) Cash & Equivalents (2022 - 2026)
Maison Solutions' Cash & Equivalents was $1.52 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 241.1% from $445,357 a year earlier and up 11.2% from the prior quarter.
Maison Solutions (MSS) Cash & Equivalents (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Cash & Equivalents at Maison Solutions came in at $775,360.
- Cash & Equivalents shows a three-year compound annual growth rate of -4.8% (FY2022 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $1,101 in FY2024 (-100.0%), $2.57 million in FY2023 (+186.1%) and $898,061 in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Cash & Equivalents since fiscal Q3 2024.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 36.0% over the last seven quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2026 (growth of 283.9%); the worst was fiscal Q4 2024 (a decline of 100.0%).
- Per Business Quant data, MSS's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $1.37 million (Q2 2026), $1.07 million (Q1 2026) and $775,360 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Maison Solutions | 980,538.31 | -3.89 Mn | 7.54 Mn | 1.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 1.52 Mn |
| Oct 31, 2025 | 1.37 Mn |
| Jul 31, 2025 | 1.07 Mn |
| Apr 30, 2025 | 775,360.00 |
| Jan 31, 2025 | 445,357.00 |
| Oct 31, 2024 | 355,670.00 |
| Jul 31, 2024 | 588,896.00 |
| Apr 30, 2024 | 1,101.00 |
| Jan 31, 2024 | 9.41 Mn |
| Oct 31, 2023 | 8.60 Mn |
| Jul 31, 2023 | 1.61 Mn |
| Apr 30, 2023 | 2.57 Mn |
| Apr 30, 2022 | 898,061.00 |
Maison Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();