Maison Solutions (MSS) Total Liabilities (2022 - 2026)
Maison Solutions' Total Liabilities was $64.38 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), down 9.0% from $70.73 million a year earlier but up 0.7% from the prior quarter.
Maison Solutions (MSS) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Total Liabilities at Maison Solutions came in at $65.7 million, down 8.3% from FY2024.
- Total Liabilities shows a three-year compound annual growth rate of 34.6% (FY2022 to FY2025).
- In earlier fiscal years, Total Liabilities was $71.68 million in FY2024 (+112.1%), $33.79 million in FY2023 (+25.4%) and $26.95 million in FY2022.
- Quarterly Total Liabilities has moved between $26.95 million (fiscal Q4 2022) and $71.72 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with growth averaging 54.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2025 (growth of 131.4%); the worst was fiscal Q2 2026 (a decline of 10.8%).
- Per Business Quant data, MSS's Total Liabilities in the three fiscal quarters before Q3 2026 was $63.97 million (Q2 2026), $63.36 million (Q1 2026) and $65.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 938.29 Bn | 894.73 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 442.57 Bn | 365.85 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.29 Bn | 33.53 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.54 Bn | 24.69 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.32 Bn | 24.00 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.59 Bn | 23.58 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 24.01 Bn | 20.63 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.04 Bn | 16.20 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Maison Solutions | 602,266.17 | -4.13 Mn | 7.54 Mn | 64.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 64.38 Mn |
| Oct 31, 2025 | 63.97 Mn |
| Jul 31, 2025 | 63.36 Mn |
| Apr 30, 2025 | 65.70 Mn |
| Jan 31, 2025 | 70.73 Mn |
| Oct 31, 2024 | 71.72 Mn |
| Jul 31, 2024 | 70.75 Mn |
| Apr 30, 2024 | 71.68 Mn |
| Jan 31, 2024 | 30.56 Mn |
| Oct 31, 2023 | 32.77 Mn |
| Jul 31, 2023 | 33.08 Mn |
| Apr 30, 2023 | 33.79 Mn |
| Apr 30, 2022 | 26.95 Mn |
Maison Solutions Total Liabilities 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=total-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();