Maison Solutions (MSS) Total Non-Current Liabilities (2022 - 2026)
Maison Solutions' Total Non-Current Liabilities came in at $45.74 million for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 4.1% from $43.92 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Maison Solutions (MSS) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Maison Solutions' Total Non-Current Liabilities was $41.39 million, down 3.5% from FY2024.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of 15.5% (FY2022 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $42.91 million in FY2024 (+68.8%), $25.42 million in FY2023 (-5.3%) and $26.85 million in FY2022.
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2022.
- Year-over-year, Total Non-Current Liabilities increased in five of the last seven quarters, with growth averaging 20.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2024 (growth of 68.8%), and the weakest in fiscal Q4 2023 (a decline of 5.3%).
- Business Quant data shows MSS's Total Non-Current Liabilities at $45.64 million (Q2 2026), $40.24 million (Q1 2026) and $41.39 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 50.26 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 4.95 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 10.33 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Maison Solutions | 1.09 Mn | -3.78 Mn | 7.54 Mn | 45.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 45.74 Mn |
| Oct 31, 2025 | 45.64 Mn |
| Jul 31, 2025 | 40.24 Mn |
| Apr 30, 2025 | 41.39 Mn |
| Jan 31, 2025 | 43.92 Mn |
| Oct 31, 2024 | 41.73 Mn |
| Jul 31, 2024 | 42.34 Mn |
| Apr 30, 2024 | 42.91 Mn |
| Jan 31, 2024 | 30.45 Mn |
| Jul 31, 2023 | 32.95 Mn |
| Apr 30, 2023 | 25.42 Mn |
| Apr 30, 2022 | 26.85 Mn |
API Access
Maison Solutions Total Non-Current 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-non-current-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();