Village Super Market (VLGEA) Capital Expenditures (2010 - 2026)
Village Super Market (VLGEA) recorded Capital Expenditures of $19.98 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), up 98.6% from $10.06 million a year earlier and up 24.5% from the prior quarter.
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Analysis
Village Super Market (VLGEA) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 25, 2026), Village Super Market reported Capital Expenditures of $53.74 million, down 8.5% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 16.3% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $58.77 million in FY2025 (-6.9%), $63.11 million in FY2024 (+36.0%), $46.4 million in FY2023 (+7.2%) and $43.27 million in FY2022 (+71.5%).
- The fiscal Q4 2026 figure is the highest quarterly Capital Expenditures since fiscal Q3 2025.
- On a year-over-year basis, Capital Expenditures rose in three of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 304.2% in fiscal Q1 2022, against a decline of 44.7% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.05 million (Q3 2026), $8.76 million (Q2 2026) and $8.95 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 2.21 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 233.10 Mn |
| 10 | Village Super Market | 626.63 Mn | 89.32 Mn | - | 19.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 19.98 Mn |
| Apr 25, 2026 | 16.05 Mn |
| Jan 24, 2026 | 8.76 Mn |
| Oct 25, 2025 | 8.95 Mn |
| Jul 26, 2025 | 10.06 Mn |
| Apr 26, 2025 | 21.16 Mn |
| Jan 25, 2025 | 15.85 Mn |
| Oct 26, 2024 | 11.70 Mn |
| Jul 27, 2024 | 9.01 Mn |
| Apr 27, 2024 | 19.32 Mn |
| Jan 27, 2024 | 21.01 Mn |
| Oct 28, 2023 | 13.77 Mn |
| Jul 29, 2023 | 10.71 Mn |
| Apr 29, 2023 | 7.14 Mn |
| Jan 28, 2023 | 18.74 Mn |
| Oct 29, 2022 | 9.81 Mn |
| Jul 30, 2022 | 6.44 Mn |
| Apr 30, 2022 | 6.35 Mn |
| Jan 29, 2022 | 17.14 Mn |
| Oct 30, 2021 | 13.34 Mn |
API Access
Village Super Market Capital Expenditures 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=capital-expenditures&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();