Village Super Market (VLGEA) Market Capitalization (2011 - 2026)
Village Super Market (VLGEA) posted Market Capitalization of $611.54 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 20.7% from $506.61 million a year earlier and up 21.4% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Market Capitalization (2011 - 2026) Analysis & Trends
For FY2025 (ended Jul 26, 2025), Village Super Market's Market Capitalization came in at $514.45 million, up 17.6% from FY2024.
- Annual Market Capitalization has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior fiscal years, Village Super Market's Market Capitalization was $437.41 million in FY2024 (+31.8%), $331.84 million in FY2023 (+3.8%), $319.66 million in FY2022 (+0.2%) and $319.01 million in FY2021 (-15.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Market Capitalization in data going back to fiscal Q4 2011.
- On a year-over-year basis, Market Capitalization has increased in each of the last 12 quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q4 2024, with growth of 31.8%; the weakest was fiscal Q4 2021, with a decline of 15.6%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $503.81 million (Q2 2026), $466.85 million (Q1 2026) and $514.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 611.54 Mn |
| Jan 24, 2026 | 503.81 Mn |
| Oct 25, 2025 | 466.85 Mn |
| Jul 26, 2025 | 514.45 Mn |
| Apr 26, 2025 | 506.61 Mn |
| Jan 25, 2025 | 475.99 Mn |
| Oct 26, 2024 | 426.18 Mn |
| Jul 27, 2024 | 437.41 Mn |
| Apr 27, 2024 | 391.71 Mn |
| Jan 27, 2024 | 374.02 Mn |
| Oct 28, 2023 | 344.97 Mn |
| Jul 29, 2023 | 331.84 Mn |
| Apr 29, 2023 | 309.90 Mn |
| Jan 28, 2023 | 322.50 Mn |
| Oct 29, 2022 | 315.42 Mn |
| Jul 30, 2022 | 319.66 Mn |
| Apr 30, 2022 | 328.60 Mn |
| Jan 29, 2022 | 316.07 Mn |
| Oct 30, 2021 | 315.30 Mn |
| Jul 31, 2021 | 319.01 Mn |
API Access
Village Super Market Market Capitalization 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=market-capitalization&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();