Village Super Market (VLGEA) Non-Current Debt (2011 - 2026)
Village Super Market (VLGEA) recorded Non-Current Debt of $47.13 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), down 7.1% from $50.73 million a year earlier and down 4.8% from the prior quarter.
Village Super Market (VLGEA) Non-Current Debt (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market reported Non-Current Debt of $48.62 million, down 22.5% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Debt came in at $62.76 million in FY2024 (-13.3%), $72.43 million in FY2023 (+9.3%), $66.26 million in FY2022 (-0.8%) and $66.83 million in FY2021 (-9.9%).
- Quarterly Non-Current Debt has ranged from $46.29 million in fiscal Q1 2026 to $77.16 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Non-Current Debt has declined for 11 consecutive quarters, with an average decline of 16.3% 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 $49.51 million (Q2 2026), $46.29 million (Q1 2026) and $48.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 36.46 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 5.67 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 12.32 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 15.16 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 4.56 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 2.33 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 5.09 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 47.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 47.13 Mn |
| Jan 24, 2026 | 49.51 Mn |
| Oct 25, 2025 | 46.29 Mn |
| Jul 26, 2025 | 48.62 Mn |
| Apr 26, 2025 | 50.73 Mn |
| Jan 25, 2025 | 53.11 Mn |
| Oct 26, 2024 | 60.32 Mn |
| Jul 27, 2024 | 62.76 Mn |
| Apr 27, 2024 | 65.26 Mn |
| Jan 27, 2024 | 67.65 Mn |
| Oct 28, 2023 | 70.04 Mn |
| Jul 29, 2023 | 72.43 Mn |
| Apr 29, 2023 | 74.81 Mn |
| Jan 28, 2023 | 77.16 Mn |
| Oct 29, 2022 | 72.80 Mn |
| Jul 30, 2022 | 66.26 Mn |
| Apr 30, 2022 | 68.17 Mn |
| Jan 29, 2022 | 70.04 Mn |
| Oct 30, 2021 | 65.04 Mn |
| Jul 31, 2021 | 66.83 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();