Village Super Market (VLGEA) Long-Term Debt Issuances (2020 - 2023)
Village Super Market's Long-Term Debt Issuances came in at $6 million for FY2026 (year ended Jul 25, 2026).
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Analysis
Village Super Market (VLGEA) Long-Term Debt Issuances (2020 - 2023) Analysis & Trends
Going back to FY2018, Village Super Market's Long-Term Debt Issuances data covers 6 fiscal years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -34.6% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Long-Term Debt Issuances in data going back to FY2018.
- Per Business Quant, earlier fiscal years put Long-Term Debt Issuances at $17.13 million in FY2023 (+133.0%) and $7.35 million in FY2022 (-85.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.12 Bn | 911.55 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 448.30 Bn | 371.58 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.72 Bn | 26.87 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | - |
| 5 | Dollar General | 29.41 Bn | 24.09 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.05 Bn | 24.05 Bn | 1.24 Bn | 42.63 Mn |
| 7 | Dollar Tree | 23.76 Bn | 20.38 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.25 Bn | 22.05 Bn | 1.92 Bn | 2.86 Bn |
| 9 | Tractor Supply | 17.66 Bn | 16.83 Bn | 1.68 Bn | 1.52 Bn |
| 10 | Village Super Market | 642.55 Mn | 105.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 28, 2023 | 7.13 Mn |
| Oct 29, 2022 | 10.00 Mn |
| Jan 29, 2022 | 7.35 Mn |
| Oct 24, 2020 | 50.00 Mn |
| Jul 25, 2020 | 87.42 Mn |
API Access
Village Super Market Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "VLGEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();