Maison Solutions (MSS) Retained Earnings (2022 - 2026)
Maison Solutions (MSS) recorded Retained Earnings of -$13.37 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), compared with -$1.36 million a year earlier.
Maison Solutions (MSS) Retained Earnings (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Maison Solutions reported Retained Earnings of -$1.65 million.
- Across earlier fiscal years, Retained Earnings came in at -$2.82 million in FY2024, $522,710 in FY2023 and -$729,093 in FY2022.
- The fiscal Q3 2026 figure is the lowest quarterly Retained Earnings in data going back to fiscal Q4 2022.
- Per Business Quant, the preceding three fiscal quarters came in at -$8.16 million (Q2 2026), -$3.19 million (Q1 2026) and -$1.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.31 Bn | 892.74 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 442.49 Bn | 365.77 Bn | 12.19 Bn | 28.59 Bn |
| 3 | Sysco | 39.37 Bn | 33.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 38.72 Bn | 24.87 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 29.24 Bn | 23.92 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 25.62 Bn | 23.62 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 23.99 Bn | 20.61 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 17.03 Bn | 16.19 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Maison Solutions | 602,620.44 | -4.13 Mn | 7.54 Mn | -13.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -13.37 Mn |
| Oct 31, 2025 | -8.16 Mn |
| Jul 31, 2025 | -3.19 Mn |
| Apr 30, 2025 | -1.65 Mn |
| Jan 31, 2025 | -1.36 Mn |
| Oct 31, 2024 | -2.37 Mn |
| Jul 31, 2024 | -2.12 Mn |
| Apr 30, 2024 | -2.82 Mn |
| Jan 31, 2024 | -39,718.00 |
| Oct 31, 2023 | 509,236.00 |
| Jul 31, 2023 | 417,771.00 |
| Apr 30, 2023 | 522,710.00 |
| Apr 30, 2022 | -729,093.00 |
Maison Solutions Retained Earnings 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=retained-earnings&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();