Village Super Market (VLGEA) Non-Current Debt (2011 - 2026)
Village Super Market (VLGEA) recorded Non-Current Debt of $45.37 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), down 6.7% from $48.62 million a year earlier and down 3.7% from the prior quarter.
Village Super Market (VLGEA) Non-Current Debt (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Village Super Market's Non-Current Debt history includes 60 quarters.
- Annual Non-Current Debt has declined for three straight fiscal years, with a five-year compound annual growth rate of -7.5% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Debt came in at $48.62 million in FY2025 (-22.5%), $62.76 million in FY2024 (-13.3%), $72.43 million in FY2023 (+9.3%) and $66.26 million in FY2022 (-0.8%).
- The fiscal Q4 2026 figure is the lowest quarterly Non-Current Debt since fiscal Q2 2020.
- On a year-over-year basis, Non-Current Debt has declined for 12 consecutive quarters, with an average decline of 15.5% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 11.9% in fiscal Q1 2023, against a decline of 23.3% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $47.13 million (Q3 2026), $49.51 million (Q2 2026) and $46.29 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 36.46 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 3.91 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 15.16 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 12.32 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 4.56 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 2.33 Bn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 5.09 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Village Super Market | 654.29 Mn | 116.98 Mn | - | 45.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 45.61 Mn |
| Apr 25, 2026 | 47.13 Mn |
| Jan 24, 2026 | 49.51 Mn |
| Oct 25, 2025 | 46.29 Mn |
| Jul 26, 2025 | 49.03 Mn |
| Apr 26, 2025 | 50.73 Mn |
| Jan 25, 2025 | 53.11 Mn |
| Oct 26, 2024 | 60.32 Mn |
| Jul 27, 2024 | 63.68 Mn |
| Apr 27, 2024 | 65.26 Mn |
| Jan 27, 2024 | 67.65 Mn |
| Oct 28, 2023 | 70.04 Mn |
| Jul 29, 2023 | 74.11 Mn |
| Apr 29, 2023 | 74.81 Mn |
| Jan 28, 2023 | 77.16 Mn |
| Oct 29, 2022 | 72.80 Mn |
| Jul 30, 2022 | 68.23 Mn |
| Apr 30, 2022 | 68.17 Mn |
| Jan 29, 2022 | 70.04 Mn |
| Oct 30, 2021 | 65.04 Mn |
Village Super Market Non-Current Debt 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=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();