Village Super Market (VLGEA) Total Non-Current Liabilities (2011 - 2026)
Village Super Market's Total Non-Current Liabilities was $485.21 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), down 1.6% from $493.04 million a year earlier but up 2.7% from the prior quarter.
Village Super Market (VLGEA) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Village Super Market has reported Total Non-Current Liabilities for 60 quarters.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $493.04 million in FY2025 (-4.9%), $518.62 million in FY2024 (-4.9%), $545.28 million in FY2023 (+1.6%) and $536.77 million in FY2022 (+0.8%).
- Quarterly Total Non-Current Liabilities has moved between $472.47 million (fiscal Q3 2026) and $551.24 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 12 straight quarters, with an average decline of 4.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2023 (growth of 4.9%); the worst was fiscal Q1 2026 (a decline of 6.4%).
- Per Business Quant data, VLGEA's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $472.47 million (Q3 2026), $490.93 million (Q2 2026) and $484.25 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 4.92 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 10.31 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - | 485.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 485.21 Mn |
| Apr 25, 2026 | 472.47 Mn |
| Jan 24, 2026 | 490.93 Mn |
| Oct 25, 2025 | 484.25 Mn |
| Jul 26, 2025 | 493.04 Mn |
| Apr 26, 2025 | 501.93 Mn |
| Jan 25, 2025 | 514.61 Mn |
| Oct 26, 2024 | 517.42 Mn |
| Jul 27, 2024 | 518.62 Mn |
| Apr 27, 2024 | 519.03 Mn |
| Jan 27, 2024 | 526.67 Mn |
| Oct 28, 2023 | 542.42 Mn |
| Jul 29, 2023 | 545.28 Mn |
| Apr 29, 2023 | 533.01 Mn |
| Jan 28, 2023 | 540.46 Mn |
| Oct 29, 2022 | 551.24 Mn |
| Jul 30, 2022 | 536.77 Mn |
| Apr 30, 2022 | 535.20 Mn |
| Jan 29, 2022 | 527.11 Mn |
| Oct 30, 2021 | 525.69 Mn |
Village Super Market Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();