Village Super Market (VLGEA) Non-Current Assets (2011 - 2026)
Village Super Market's Non-Current Assets was $813.93 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), up 1.9% from $798.6 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Non-Current Assets (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Village Super Market has reported Non-Current Assets for 60 quarters.
- Non-Current Assets has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $798.6 million in FY2025 (+2.1%), $781.96 million in FY2024 (+8.5%), $721.02 million in FY2023 (+5.0%) and $686.48 million in FY2022 (-0.9%).
- The fiscal Q4 2026 figure marks the highest quarterly Non-Current Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Non-Current Assets was higher in seven of the last eight quarters, with growth averaging 2.8%.
- 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 Q4 2026 was $796.26 million (Q3 2026), $792.64 million (Q2 2026) and $791.37 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 945.13 Bn | 901.57 Bn | 49.13 Bn | 205.21 Bn |
| 2 | Costco Wholesale | 447.43 Bn | 370.71 Bn | 12.19 Bn | 42.46 Bn |
| 3 | Sysco | 39.82 Bn | 34.07 Bn | 4.13 Bn | 14.96 Bn |
| 4 | Kroger | 39.71 Bn | 25.86 Bn | 7.86 Bn | 36.57 Bn |
| 5 | Dollar General | 30.00 Bn | 24.68 Bn | 3.68 Bn | 23.39 Bn |
| 6 | Caseys General Stores | 26.09 Bn | 24.09 Bn | 1.24 Bn | 7.73 Bn |
| 7 | Dollar Tree | 24.23 Bn | 20.85 Bn | 2.10 Bn | 10.29 Bn |
| 8 | US Foods Holding | 22.52 Bn | 22.32 Bn | 1.92 Bn | 9.89 Bn |
| 9 | Tractor Supply | 16.63 Bn | 15.80 Bn | 1.68 Bn | 7.91 Bn |
| 10 | Village Super Market | 641.69 Mn | 104.38 Mn | - | 813.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 813.93 Mn |
| 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 |
API Access
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_KEYimport 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();