Village Super Market (VLGEA) Capital Expenditures (2010 - 2026)
Village Super Market (VLGEA) recorded Capital Expenditures of $16.05 million in fiscal Q3 2026 (quarter ended Apr 25, 2026), down 24.1% from $21.16 million a year earlier but up 83.1% from the prior quarter.
Village Super Market (VLGEA) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Village Super Market's Capital Expenditures came in at $43.82 million as of Apr 25, 2026, down 24.1% year-over-year; for FY2025 (ended Jul 26, 2025), it was $58.77 million, down 6.9% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $63.11 million in FY2024 (+36.0%), $46.4 million in FY2023 (+7.2%), $43.27 million in FY2022 (+71.5%) and $25.23 million in FY2021 (-53.7%).
- Quarterly Capital Expenditures has ranged from $6.35 million in fiscal Q3 2022 to $21.16 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for three consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- 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 $8.76 million (Q2 2026), $8.95 million (Q1 2026) and $10.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 1.41 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 233.10 Mn |
| 10 | Village Super Market | 655.09 Mn | 137.92 Mn | - | 16.05 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 31, 2021 | 10.33 Mn |
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();