Village Super Market (VLGEA) Other Non-Current Liabilities (2011 - 2026)
Village Super Market (VLGEA) recorded Other Non-Current Liabilities of $21.07 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 50.9% from $13.96 million a year earlier and up 7.3% from the prior quarter.
Village Super Market (VLGEA) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market reported Other Non-Current Liabilities of $18.71 million, up 20.8% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $15.48 million in FY2024 (+26.3%), $12.26 million in FY2023 (-21.3%), $15.57 million in FY2022 (+3.9%) and $14.98 million in FY2021 (-17.2%).
- The fiscal Q3 2026 figure is the highest quarterly Other Non-Current Liabilities since fiscal Q3 2014.
- On a year-over-year basis, Other Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 18.7% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 50.9% in fiscal Q3 2026, against a decline of 21.3% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.65 million (Q2 2026), $18.94 million (Q1 2026) and $18.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 21.07 Mn |
| Jan 24, 2026 | 19.65 Mn |
| Oct 25, 2025 | 18.94 Mn |
| Jul 26, 2025 | 18.71 Mn |
| Apr 26, 2025 | 13.96 Mn |
| Jan 25, 2025 | 15.55 Mn |
| Oct 26, 2024 | 15.47 Mn |
| Jul 27, 2024 | 15.48 Mn |
| Apr 27, 2024 | 14.96 Mn |
| Jan 27, 2024 | 14.61 Mn |
| Oct 28, 2023 | 15.06 Mn |
| Jul 29, 2023 | 12.26 Mn |
| Apr 29, 2023 | 15.99 Mn |
| Jan 28, 2023 | 16.55 Mn |
| Oct 29, 2022 | 16.91 Mn |
| Jul 30, 2022 | 15.57 Mn |
| Apr 30, 2022 | 17.01 Mn |
| Jan 29, 2022 | 14.95 Mn |
| Oct 30, 2021 | 15.37 Mn |
| Jul 31, 2021 | 14.98 Mn |
Village Super Market Other 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=other-non-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();