Village Super Market (VLGEA) Enterprise Value (2011 - 2026)
Village Super Market's Enterprise Value came in at $482.86 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), up 23.4% from $391.25 million a year earlier and up 40.5% from the prior quarter.
Village Super Market (VLGEA) Enterprise Value (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 25, 2026, Village Super Market reported Enterprise Value of $94.37 million, up 312.5% year-over-year; for FY2025 (ended Jul 26, 2025), it came in at $403.75 million, up 26.1% from FY2024.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $320.14 million in FY2024 (+67.7%), $190.93 million in FY2023 (+3.3%), $184.83 million in FY2022 (-8.8%) and $202.7 million in FY2021 (-23.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q4 2011.
- Year-over-year, Enterprise Value has increased for 12 consecutive quarters, with growth averaging 32.6% 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 Q4 2021 (a decline of 23.8%).
- Business Quant data shows VLGEA's Enterprise Value at $343.71 million (Q2 2026), $349.16 million (Q1 2026) and $403.75 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| 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 |
| Jul 31, 2021 | 202.70 Mn |
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();