G Willi Food International (WILCF) Receivables - Net (2009 - 2026)
G Willi Food International's Receivables - Net came in at $65.61 million for the quarter ended Jun 30, 2026, up 1.9% from $64.37 million a year earlier and up 14.3% from the prior quarter.
G Willi Food International (WILCF) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International's Receivables - Net was $61.04 million, up 13.6% from the prior year.
- Receivables - Net carries a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables - Net 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 represents the highest quarterly Receivables - Net in data going back to the quarter ended Dec 31, 2009.
- Year-over-year, Receivables - Net has increased for three consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in the quarter ended Mar 31, 2025 (growth of 31.4%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 13.9%).
- Business Quant data shows WILCF's Receivables - Net at $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) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 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 |
| 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 |
| 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 |
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 |
G Willi Food International Receivables - Net 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-net&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();