Maison Solutions (MSS) Net Long-Term Debt Issued (Repaid) (2022 - 2026)
Maison Solutions' Non-Current Debt was $250,000 in FY2024 (year ended Apr 30, 2024), compared with -$101,965 in FY2023.
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Analysis
Maison Solutions (MSS) Net Long-Term Debt Issued (Repaid) (2022 - 2026) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier fiscal years was -$101,965 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | -799.00 Mn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 57.00 Mn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 22.00 Mn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | -7.80 Mn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | -2.58 Mn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | -165.00 Mn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 79.26 Mn |
| 10 | Maison Solutions | 506,106.00 | -4.22 Mn | 7.54 Mn | -6.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -6.19 Mn |
| Oct 31, 2025 | -777,921.00 |
| Jul 31, 2025 | -23,812.00 |
| Apr 30, 2025 | 9.24 Mn |
| Jan 31, 2025 | -1.53 Mn |
| Oct 31, 2024 | -481,209.00 |
| Jul 31, 2024 | 397,660.00 |
| Apr 30, 2024 | -73,315.00 |
| Jan 31, 2024 | -245,562.00 |
| Oct 31, 2023 | -100,531.00 |
| Jul 31, 2023 | -101,417.00 |
| Apr 30, 2023 | -67,365.00 |
| Oct 31, 2022 | -62,933.00 |
| Jul 31, 2022 | -281,940.00 |
API Access
Maison Solutions Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();