G Willi Food International (WILCF) Assets (2009 - 2026)
G Willi Food International (WILCF) reported Assets of $252.02 million for the quarter ended Jun 30, 2026, up 6.1% from $237.62 million a year earlier and up 6.7% from the prior quarter.
G Willi Food International (WILCF) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International posted Assets of $225.8 million, up 20.0% from the prior year.
- Assets has a five-year compound annual growth rate of 2.9% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $188.21 million in the year ended Dec 31, 2024 (+14.3%), $164.61 million in the year ended Dec 31, 2023 (-4.8%), $172.85 million in the year ended Dec 31, 2022 (-14.4%) and $201.95 million in the year ended Dec 31, 2021 (+3.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Assets in data going back to the quarter ended Dec 31, 2009.
- Year over year, Assets has now increased in each of the last nine quarters, with growth averaging 17.5% over the last eight quarters.
- The high point for year-over-year Assets in five years was the quarter ended Mar 31, 2025 (growth of 35.9%); the low point was the quarter ended Mar 31, 2022 (a decline of 14.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $236.15 million (quarter ended Mar 31, 2026), $225.8 million (quarter ended Dec 31, 2025) and $212.69 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 293.91 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 86.43 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 28.40 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 49.49 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 32.17 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 9.12 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 14.03 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 14.34 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 12.16 Bn |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn | 252.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 252.02 Mn |
| Mar 31, 2026 | 236.15 Mn |
| Dec 31, 2025 | 225.80 Mn |
| Sep 30, 2025 | 212.69 Mn |
| Jun 30, 2025 | 237.62 Mn |
| Mar 31, 2025 | 225.09 Mn |
| Dec 31, 2024 | 188.21 Mn |
| Sep 30, 2024 | 200.63 Mn |
| Jun 30, 2024 | 191.42 Mn |
| Mar 31, 2024 | 165.63 Mn |
| Dec 31, 2023 | 164.61 Mn |
| Sep 30, 2023 | 156.09 Mn |
| Jun 30, 2023 | 156.81 Mn |
| Mar 31, 2023 | 168.90 Mn |
| Dec 31, 2022 | 172.85 Mn |
| Sep 30, 2022 | 156.18 Mn |
| Jun 30, 2022 | 166.69 Mn |
| Mar 31, 2022 | 176.54 Mn |
| Dec 31, 2021 | 201.95 Mn |
| Sep 30, 2021 | 177.82 Mn |
G Willi Food International Assets 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=assets&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();