Maison Solutions (MSS) Total Current Liabilities (2022 - 2026)
Maison Solutions (MSS) reported Total Current Liabilities of $18.79 million for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 29.9% from $26.81 million a year earlier but up 2.5% from the prior quarter.
Maison Solutions (MSS) Total Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Maison Solutions posted Total Current Liabilities of $21.91 million, down 23.9% from FY2024.
- Total Current Liabilities has a three-year compound annual growth rate of 42.7% (FY2022 to FY2025).
- By fiscal year, Total Current Liabilities came in at $28.77 million in FY2024 (+243.6%), $8.37 million in FY2023 (+11.0%) and $7.54 million in FY2022.
- Five-year quarterly Total Current Liabilities spans a low of $6.6 million in fiscal Q3 2024 and a high of $29.99 million in fiscal Q2 2025.
- Year over year, Total Current Liabilities has now declined in each of the last four quarters, with growth averaging 118.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2025 (growth of 306.4%); the low point was fiscal Q2 2026 (a decline of 38.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $18.33 million (Q2 2026), $23.12 million (Q1 2026) and $21.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 934.04 Bn | 890.47 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 442.72 Bn | 366.00 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Sysco | 39.27 Bn | 33.52 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 38.78 Bn | 24.94 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 29.09 Bn | 23.77 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 25.60 Bn | 23.60 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 23.82 Bn | 20.45 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 22.33 Bn | 22.13 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 16.87 Bn | 16.04 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Maison Solutions | 637,693.56 | -4.09 Mn | 7.54 Mn | 18.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 18.79 Mn |
| Oct 31, 2025 | 18.33 Mn |
| Jul 31, 2025 | 23.12 Mn |
| Apr 30, 2025 | 21.91 Mn |
| Jan 31, 2025 | 26.81 Mn |
| Oct 31, 2024 | 29.99 Mn |
| Jul 31, 2024 | 28.41 Mn |
| Apr 30, 2024 | 28.77 Mn |
| Jan 31, 2024 | 6.60 Mn |
| Oct 31, 2023 | 8.31 Mn |
| Jul 31, 2023 | 8.14 Mn |
| Apr 30, 2023 | 8.37 Mn |
| Apr 30, 2022 | 7.54 Mn |
Maison Solutions Total 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-current-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();