Village Super Market (VLGEA) Pension (2014 - 2026)
Village Super Market (VLGEA) posted Pension of $2.59 million for fiscal Q4 2026 (quarter ended Jul 25, 2026), down 21.1% from $3.28 million a year earlier and down 15.1% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Pension (2014 - 2026) Analysis & Trends
Since fiscal Q4 2014, Village Super Market has reported Pension for 49 quarters.
- Annual Pension shows a five-year compound annual growth rate of -24.0% (FY2021 to FY2026).
- In prior fiscal years, Village Super Market's Pension was $3.28 million in FY2025 (-35.8%), $5.11 million in FY2024 (+4.5%), $4.89 million in FY2023 (+7.1%) and $4.57 million in FY2022 (-55.1%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Pension in data going back to fiscal Q4 2014.
- On a year-over-year basis, Pension increased in three of the last eight quarters, with an average decline of 21.8%.
- The strongest year-over-year quarter for Pension in the past five years was fiscal Q2 2022, with growth of 67.4%; the weakest was fiscal Q4 2022, with a decline of 55.1%.
- According to Business Quant data, Pension for the three prior fiscal quarters was $3.05 million (Q3 2026), $3 million (Q2 2026) and $3.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 2.59 Mn |
| Apr 25, 2026 | 3.05 Mn |
| Jan 24, 2026 | 3.00 Mn |
| Oct 25, 2025 | 3.10 Mn |
| Jul 26, 2025 | 3.28 Mn |
| Apr 26, 2025 | 3.03 Mn |
| Jan 25, 2025 | 2.92 Mn |
| Oct 26, 2024 | 5.23 Mn |
| Jul 27, 2024 | 5.11 Mn |
| Apr 27, 2024 | 5.23 Mn |
| Jan 27, 2024 | 5.12 Mn |
| Oct 28, 2023 | 5.01 Mn |
| Jul 29, 2023 | 4.89 Mn |
| Apr 29, 2023 | 4.82 Mn |
| Jan 28, 2023 | 4.74 Mn |
| Oct 29, 2022 | 4.65 Mn |
| Jul 30, 2022 | 4.57 Mn |
| Apr 30, 2022 | 6.52 Mn |
| Jan 29, 2022 | 10.30 Mn |
| Oct 30, 2021 | 10.24 Mn |
API Access
Village Super Market Pension 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=pension&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();