G Willi Food International (WILCF) Receivables (2009 - 2026)
G Willi Food International's Receivables was $65.61 million in the quarter ended Jun 30, 2026, up 1.9% from $64.37 million a year earlier and up 14.3% from the prior quarter.
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Analysis
G Willi Food International (WILCF) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at G Willi Food International came in at $61.04 million, up 13.6% from the prior year.
- Receivables shows a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $53.71 million in the year ended Dec 31, 2024 (+21.5%), $44.22 million in the year ended Dec 31, 2023 (-6.1%), $47.11 million in the year ended Dec 31, 2022 (+9.3%) and $43.09 million in the year ended Dec 31, 2021 (+2.1%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Receivables in data going back to the quarter ended Dec 31, 2009.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 16.1% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was the quarter ended Mar 31, 2025 (growth of 31.4%); the worst was the quarter ended Mar 31, 2024 (a decline of 13.9%).
- Per Business Quant data, WILCF's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $57.42 million (quarter ended Mar 31, 2026), $61.04 million (quarter ended Dec 31, 2025) and $52.47 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | - |
| 10 | G Willi Food International | 345.02 Mn | 182.02 Mn | 18.94 Mn | 65.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.61 Mn |
| Mar 31, 2026 | 57.42 Mn |
| Dec 31, 2025 | 56.98 Mn |
| Sep 30, 2025 | 52.47 Mn |
| Jun 30, 2025 | 64.37 Mn |
| Mar 31, 2025 | 54.64 Mn |
| Dec 31, 2024 | 46.98 Mn |
| Sep 30, 2024 | 53.86 Mn |
| Jun 30, 2024 | 50.04 Mn |
| Mar 31, 2024 | 41.57 Mn |
| Dec 31, 2023 | 44.22 Mn |
| Sep 30, 2023 | 42.01 Mn |
| Jun 30, 2023 | 44.17 Mn |
| Mar 31, 2023 | 48.26 Mn |
| Dec 31, 2022 | 47.11 Mn |
| Sep 30, 2022 | 38.50 Mn |
| Jun 30, 2022 | 41.42 Mn |
| Mar 31, 2022 | 38.67 Mn |
| Dec 31, 2021 | 44.76 Mn |
| Sep 30, 2021 | 37.19 Mn |
API Access
G Willi Food International Receivables 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=receivables&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();