Village Super Market (VLGEA) Operating Leases (2019 - 2026)
Village Super Market (VLGEA) posted Operating Leases of $222.65 million for fiscal Q3 2026 (quarter ended Apr 25, 2026), down 9.2% from $245.2 million a year earlier and down 2.8% from the prior quarter.
Powered by 
Analysis
Village Super Market (VLGEA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 26, 2025), Village Super Market's Operating Leases came in at $241.22 million, down 5.8% from FY2024.
- Annual Operating Leases has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior fiscal years, Village Super Market's Operating Leases was $256.09 million in FY2024 (-4.0%), $266.68 million in FY2023 (-6.2%), $284.3 million in FY2022 (+2.2%) and $278.14 million in FY2021 (-6.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Leases since fiscal Q3 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 13 quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2023, with growth of 2.7%; the weakest was fiscal Q2 2026, with a decline of 9.7%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $229 million (Q2 2026), $235.29 million (Q1 2026) and $241.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn |
| 10 | Village Super Market | 657.83 Mn | 140.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 25, 2026 | 222.65 Mn |
| Jan 24, 2026 | 229.00 Mn |
| Oct 25, 2025 | 235.29 Mn |
| Jul 26, 2025 | 241.22 Mn |
| Apr 26, 2025 | 245.20 Mn |
| Jan 25, 2025 | 253.58 Mn |
| Oct 26, 2024 | 249.99 Mn |
| Jul 27, 2024 | 256.09 Mn |
| Apr 27, 2024 | 254.89 Mn |
| Jan 27, 2024 | 255.98 Mn |
| Oct 28, 2023 | 262.22 Mn |
| Jul 29, 2023 | 266.68 Mn |
| Apr 29, 2023 | 266.92 Mn |
| Jan 28, 2023 | 272.30 Mn |
| Oct 29, 2022 | 278.38 Mn |
| Jul 30, 2022 | 284.30 Mn |
| Apr 30, 2022 | 283.58 Mn |
| Jan 29, 2022 | 265.22 Mn |
| Oct 30, 2021 | 271.50 Mn |
| Jul 31, 2021 | 278.14 Mn |
API Access
Village Super Market Operating Leases 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=operating-leases&ticker=VLGEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();