Village Super Market (VLGEA) Long-Term Debt Repayments (2010 - 2026)
Village Super Market (VLGEA) posted Long-Term Debt Repayments of $2.8 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), up 0.9% from $2.77 million a year earlier and up 0.2% from the prior quarter.
Village Super Market (VLGEA) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 25, 2026), Village Super Market's Long-Term Debt Repayments came in at $11.19 million, up 1.7% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -25.9% (FY2021 to FY2026).
- In prior fiscal years, Village Super Market's Long-Term Debt Repayments was $11.01 million in FY2025 (unchanged), $11 million in FY2024 (+5.3%), $10.45 million in FY2023 (+25.9%) and $8.3 million in FY2022 (-83.4%).
- Quarterly Long-Term Debt Repayments has run from a low of $1.98 million in fiscal Q2 2022 to a high of $2.92 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has increased in each of the last five quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2023, with growth of 30.1%; the weakest was fiscal Q1 2022, with a decline of 96.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $2.79 million (Q3 2026), $2.82 million (Q2 2026) and $2.78 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 948.95 Bn | 905.38 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 446.25 Bn | 369.53 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Kroger | 40.31 Bn | 26.46 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.12 Bn | 33.37 Bn | 4.13 Bn | 42.00 Mn |
| 5 | Dollar General | 28.86 Bn | 23.54 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 25.73 Bn | 23.72 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 23.59 Bn | 20.21 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 21.94 Bn | 21.74 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 17.42 Bn | 16.58 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Village Super Market | 643.70 Mn | 106.40 Mn | - | 2.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 2.80 Mn |
| Apr 25, 2026 | 2.79 Mn |
| Jan 24, 2026 | 2.82 Mn |
| Oct 25, 2025 | 2.78 Mn |
| Jul 26, 2025 | 2.77 Mn |
| Apr 26, 2025 | 2.77 Mn |
| Jan 25, 2025 | 2.76 Mn |
| Oct 26, 2024 | 2.71 Mn |
| Jul 27, 2024 | 2.70 Mn |
| Apr 27, 2024 | 2.92 Mn |
| Jan 27, 2024 | 2.69 Mn |
| Oct 28, 2023 | 2.70 Mn |
| Jul 29, 2023 | 2.68 Mn |
| Apr 29, 2023 | 2.86 Mn |
| Jan 28, 2023 | 2.55 Mn |
| Oct 29, 2022 | 2.35 Mn |
| Jul 30, 2022 | 2.13 Mn |
| Apr 30, 2022 | 2.20 Mn |
| Jan 29, 2022 | 1.98 Mn |
| Oct 30, 2021 | 2.00 Mn |
Village Super Market Long-Term Debt Repayments 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-repayments&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();