Village Super Market (VLGEA) Non-Current Assets (2011 - 2026)
Village Super Market's Non-Current Assets was $796.26 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), down 0.5% from $800.55 million a year earlier but up 0.5% from the prior quarter.
Village Super Market (VLGEA) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Non-Current Assets at Village Super Market came in at $798.6 million, up 2.1% from FY2024.
- Non-Current Assets has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $781.96 million in FY2024 (+8.5%), $721.02 million in FY2023 (+5.0%), $686.48 million in FY2022 (-0.9%) and $692.69 million in FY2021 (-3.6%).
- Quarterly Non-Current Assets has moved between $665.11 million (fiscal Q2 2022) and $800.55 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Non-Current Assets was higher in seven of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q2 2023 (growth of 12.9%); the worst was fiscal Q1 2022 (a decline of 6.0%).
- Per Business Quant data, VLGEA's Non-Current Assets in the three fiscal quarters before Q3 2026 was $792.64 million (Q2 2026), $791.37 million (Q1 2026) and $798.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 205.21 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 41.25 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 14.96 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 36.57 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 23.39 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 7.73 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.29 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 9.89 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.91 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 796.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 796.26 Mn |
| Jan 24, 2026 | 792.64 Mn |
| Oct 25, 2025 | 791.37 Mn |
| Jul 26, 2025 | 798.60 Mn |
| Apr 26, 2025 | 800.55 Mn |
| Jan 25, 2025 | 791.86 Mn |
| Oct 26, 2024 | 784.67 Mn |
| Jul 27, 2024 | 781.96 Mn |
| Apr 27, 2024 | 781.10 Mn |
| Jan 27, 2024 | 734.00 Mn |
| Oct 28, 2023 | 727.25 Mn |
| Jul 29, 2023 | 721.02 Mn |
| Apr 29, 2023 | 717.85 Mn |
| Jan 28, 2023 | 750.83 Mn |
| Oct 29, 2022 | 748.04 Mn |
| Jul 30, 2022 | 686.48 Mn |
| Apr 30, 2022 | 688.72 Mn |
| Jan 29, 2022 | 665.11 Mn |
| Oct 30, 2021 | 665.61 Mn |
| Jul 31, 2021 | 692.69 Mn |
Village Super Market 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=non-current-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();