Village Super Market (VLGEA) Enterprise Value (2011 - 2026)
Village Super Market's Enterprise Value came in at $483.19 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), up 19.7% from $403.75 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Enterprise Value (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Village Super Market's Enterprise Value data covers 61 quarters.
- Enterprise Value has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $403.75 million in FY2025 (+26.1%), $320.14 million in FY2024 (+67.7%), $190.93 million in FY2023 (+3.3%) and $184.83 million in FY2022 (-8.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q4 2011.
- Year-over-year, Enterprise Value has increased for 13 consecutive quarters, with growth averaging 26.6% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2024 (growth of 67.7%), and the weakest in fiscal Q3 2022 (a decline of 12.4%).
- Business Quant data shows VLGEA's Enterprise Value at $482.86 million (Q3 2026), $343.71 million (Q2 2026) and $349.16 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 960.96 Bn | 917.40 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.19 Bn | 374.47 Bn | 12.19 Bn |
| 3 | Kroger | 40.92 Bn | 27.07 Bn | 7.86 Bn |
| 4 | Sysco | 40.08 Bn | 34.33 Bn | 4.13 Bn |
| 5 | Dollar General | 30.46 Bn | 25.14 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.28 Bn | 24.28 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.84 Bn | 21.46 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.73 Bn | 22.53 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.19 Bn | 17.35 Bn | 1.68 Bn |
| 10 | Village Super Market | 652.78 Mn | 115.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 483.19 Mn |
| Apr 25, 2026 | 482.86 Mn |
| Jan 24, 2026 | 343.71 Mn |
| Oct 25, 2025 | 349.16 Mn |
| Jul 26, 2025 | 403.75 Mn |
| Apr 26, 2025 | 391.25 Mn |
| Jan 25, 2025 | 342.06 Mn |
| Oct 26, 2024 | 309.00 Mn |
| Jul 27, 2024 | 320.14 Mn |
| Apr 27, 2024 | 277.77 Mn |
| Jan 27, 2024 | 240.68 Mn |
| Oct 28, 2023 | 210.20 Mn |
| Jul 29, 2023 | 190.93 Mn |
| Apr 29, 2023 | 185.27 Mn |
| Jan 28, 2023 | 198.00 Mn |
| Oct 29, 2022 | 196.17 Mn |
| Jul 30, 2022 | 184.83 Mn |
| Apr 30, 2022 | 208.69 Mn |
| Jan 29, 2022 | 190.17 Mn |
| Oct 30, 2021 | 210.21 Mn |
API Access
Village Super Market Enterprise Value 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=enterprise-value&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();