G Willi Food International (WILCF) Prepaid Assets (2009 - 2026)
G Willi Food International (WILCF) reported Prepaid Assets of $1.57 million for the quarter ended Jun 30, 2026, up 24.8% from $1.26 million a year earlier and up 25.5% from the prior quarter.
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Analysis
G Willi Food International (WILCF) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International posted Prepaid Assets of $754,000, down 67.4% from the prior year.
- Prepaid Assets has a five-year compound annual growth rate of -18.9% (years ended Dec 2020 to Dec 2025).
- By year, Prepaid Assets came in at $2.32 million in the year ended Dec 31, 2024 (-16.9%), $2.79 million in the year ended Dec 31, 2023 (+104.0%), $1.37 million in the year ended Dec 31, 2022 (-2.6%) and $1.4 million in the year ended Dec 31, 2021 (-34.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Prepaid Assets since the quarter ended Mar 31, 2025.
- Year over year, Prepaid Assets gained in two of the last eight quarters, with an average decline of 30.3%.
- The high point for year-over-year Prepaid Assets in five years was the quarter ended Jun 30, 2024 (growth of 308.3%); the low point was the quarter ended Jun 30, 2025 (a decline of 69.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.25 million (quarter ended Mar 31, 2026), $754,000 (quarter ended Dec 31, 2025) and $1.22 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 999.02 Bn | 955.46 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 473.50 Bn | 396.78 Bn | 12.19 Bn |
| 3 | Kroger | 41.27 Bn | 27.43 Bn | 7.86 Bn |
| 4 | Sysco | 37.80 Bn | 29.72 Bn | 4.05 Bn |
| 5 | Dollar General | 30.21 Bn | 24.89 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.28 Bn | 22.90 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.54 Bn | 23.53 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.46 Bn | 18.61 Bn | 1.42 Bn |
| 10 | G Willi Food International | 325.41 Mn | 162.41 Mn | 18.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 754,000.00 |
| Sep 30, 2025 | 1.22 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 2.30 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 4.16 Mn |
| Mar 31, 2024 | 3.65 Mn |
| Dec 31, 2023 | 2.79 Mn |
| Sep 30, 2023 | 2.27 Mn |
| Jun 30, 2023 | 1.02 Mn |
| Mar 31, 2023 | 2.20 Mn |
| Dec 31, 2022 | 1.37 Mn |
| Sep 30, 2022 | 827,000.00 |
| Jun 30, 2022 | 649,000.00 |
| Mar 31, 2022 | 1.86 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 1.12 Mn |
API Access
G Willi Food International Prepaid 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=prepaid-assets&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();