G Willi Food International (WILCF) Operating Leases (2010 - 2026)
G Willi Food International (WILCF) reported Operating Leases of $813,000 for the quarter ended Jun 30, 2026, unchanged from $813,000 a year earlier and up 16.5% from the prior quarter.
G Willi Food International (WILCF) Operating Leases (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International posted Operating Leases of $920,000, up 16.5% from the prior year.
- Operating Leases has a five-year compound annual growth rate of 12.4% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $790,000 in the year ended Dec 31, 2024 (+315.8%), $190,000 in the year ended Dec 31, 2023 (-46.3%), $354,000 in the year ended Dec 31, 2022 (-59.3%) and $870,000 in the year ended Dec 31, 2021 (+69.9%).
- Five-year quarterly Operating Leases spans a low of $190,000 in the quarter ended Dec 31, 2023 and a high of $978,000 in the quarter ended Sep 30, 2021.
- Year over year, Operating Leases gained in six of the last eight quarters, with growth averaging 85.7%.
- The high point for year-over-year Operating Leases in five years was the quarter ended Dec 31, 2024 (growth of 315.8%); the low point was the quarter ended Sep 30, 2023 (a decline of 66.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $698,000 (quarter ended Mar 31, 2026), $920,000 (quarter ended Dec 31, 2025) and $887,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 813,000.00 |
| Mar 31, 2026 | 698,000.00 |
| Dec 31, 2025 | 920,000.00 |
| Sep 30, 2025 | 887,000.00 |
| Jun 30, 2025 | 813,000.00 |
| Mar 31, 2025 | 863,000.00 |
| Dec 31, 2024 | 790,000.00 |
| Sep 30, 2024 | 812,000.00 |
| Jun 30, 2024 | 446,000.00 |
| Mar 31, 2024 | 427,000.00 |
| Dec 31, 2023 | 190,000.00 |
| Sep 30, 2023 | 291,000.00 |
| Jun 30, 2023 | 394,000.00 |
| Mar 31, 2023 | 327,000.00 |
| Dec 31, 2022 | 354,000.00 |
| Sep 30, 2022 | 866,000.00 |
| Jun 30, 2022 | 808,000.00 |
| Mar 31, 2022 | 730,000.00 |
| Dec 31, 2021 | 870,000.00 |
| Sep 30, 2021 | 978,000.00 |
G Willi Food International 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=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "WILCF", "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=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();