Village Super Market (VLGEA) Other Non-Current Assets (2011 - 2026)
Village Super Market's Other Non-Current Assets was $37.8 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), up 12.0% from $33.76 million a year earlier but down 2.0% from the prior quarter.
Village Super Market (VLGEA) Other Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Other Non-Current Assets at Village Super Market came in at $34.12 million, down 12.3% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Assets was $38.91 million in FY2024 (+6.8%), $36.43 million in FY2023 (+6.1%), $34.34 million in FY2022 (+5.3%) and $32.61 million in FY2021 (+1.7%).
- Quarterly Other Non-Current Assets has moved between $32.61 million (fiscal Q4 2021) and $41.29 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Other Non-Current Assets was higher in three of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q3 2022 (growth of 20.0%); the worst was fiscal Q3 2025 (a decline of 16.0%).
- Per Business Quant data, VLGEA's Other Non-Current Assets in the three fiscal quarters before Q3 2026 was $38.57 million (Q2 2026), $33.44 million (Q1 2026) and $34.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 12.64 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 4.21 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 914.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.08 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 72.48 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 430.74 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 157.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 627.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 66.32 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 37.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 37.80 Mn |
| Jan 24, 2026 | 38.57 Mn |
| Oct 25, 2025 | 33.44 Mn |
| Jul 26, 2025 | 34.12 Mn |
| Apr 26, 2025 | 33.76 Mn |
| Jan 25, 2025 | 34.82 Mn |
| Oct 26, 2024 | 39.07 Mn |
| Jul 27, 2024 | 38.91 Mn |
| Apr 27, 2024 | 40.19 Mn |
| Jan 27, 2024 | 38.64 Mn |
| Oct 28, 2023 | 40.41 Mn |
| Jul 29, 2023 | 36.43 Mn |
| Apr 29, 2023 | 37.19 Mn |
| Jan 28, 2023 | 37.20 Mn |
| Oct 29, 2022 | 38.65 Mn |
| Jul 30, 2022 | 34.34 Mn |
| Apr 30, 2022 | 41.29 Mn |
| Jan 29, 2022 | 33.89 Mn |
| Oct 30, 2021 | 36.37 Mn |
| Jul 31, 2021 | 32.61 Mn |
Village Super Market Other Non-Current Assets 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-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();