Village Super Market (VLGEA) Current Assets (2011 - 2026)
Village Super Market (VLGEA) reported Current Assets of $220.89 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), up 7.7% from $205.11 million a year earlier and up 4.1% from the prior quarter.
Village Super Market (VLGEA) Current Assets (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Village Super Market's Current Assets record includes 60 quarters.
- Current Assets has a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- By fiscal year, Current Assets came in at $205.11 million in FY2025 (+2.7%), $199.7 million in FY2024 (-19.0%), $246.69 million in FY2023 (+3.7%) and $237.97 million in FY2022 (+21.2%).
- Five-year quarterly Current Assets spans a low of $189.1 million in fiscal Q3 2024 and a high of $249.47 million in fiscal Q1 2024.
- Year over year, Current Assets has now increased in each of the last six quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was fiscal Q1 2024 (growth of 22.7%); the low point was fiscal Q4 2024 (a decline of 19.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $212.18 million (Q3 2026), $234.61 million (Q2 2026) and $212.91 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 88.70 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 46.58 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 13.44 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 12.93 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 8.78 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 1.39 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 3.74 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 4.45 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 4.25 Bn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - | 220.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 220.89 Mn |
| Apr 25, 2026 | 212.18 Mn |
| Jan 24, 2026 | 234.61 Mn |
| Oct 25, 2025 | 212.91 Mn |
| Jul 26, 2025 | 205.11 Mn |
| Apr 26, 2025 | 195.03 Mn |
| Jan 25, 2025 | 210.27 Mn |
| Oct 26, 2024 | 205.68 Mn |
| Jul 27, 2024 | 199.70 Mn |
| Apr 27, 2024 | 189.10 Mn |
| Jan 27, 2024 | 236.42 Mn |
| Oct 28, 2023 | 249.47 Mn |
| Jul 29, 2023 | 246.69 Mn |
| Apr 29, 2023 | 226.90 Mn |
| Jan 28, 2023 | 197.78 Mn |
| Oct 29, 2022 | 203.33 Mn |
| Jul 30, 2022 | 237.97 Mn |
| Apr 30, 2022 | 225.06 Mn |
| Jan 29, 2022 | 232.20 Mn |
| Oct 30, 2021 | 222.42 Mn |
Village Super Market 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=current-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();