G Willi Food International (WILCF) Payables (2009 - 2026)
G Willi Food International's Payables came in at $11.05 million for the quarter ended Jun 30, 2026, up 4.6% from $10.56 million a year earlier and up 37.8% from the prior quarter.
G Willi Food International (WILCF) Payables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International's Payables was $7.82 million, down 11.5% from the prior year.
- Payables carries a five-year compound annual growth rate of 0.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $8.84 million in the year ended Dec 31, 2024 (+49.1%), $5.93 million in the year ended Dec 31, 2023 (-13.4%), $6.85 million in the year ended Dec 31, 2022 (+18.3%) and $5.79 million in the year ended Dec 31, 2021 (-23.3%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Payables since the quarter ended Mar 31, 2025.
- Year-over-year, Payables increased in four of the last eight quarters, with growth averaging 24.3%.
- The fastest year-over-year change in Payables over five years came in the quarter ended Jun 30, 2024 (growth of 106.6%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 30.6%).
- Business Quant data shows WILCF's Payables at $8.01 million (quarter ended Mar 31, 2026), $7.82 million (quarter ended Dec 31, 2025) and $8.29 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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.76 Bn |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn | 11.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.05 Mn |
| Mar 31, 2026 | 8.01 Mn |
| Dec 31, 2025 | 7.82 Mn |
| Sep 30, 2025 | 8.29 Mn |
| Jun 30, 2025 | 10.56 Mn |
| Mar 31, 2025 | 11.07 Mn |
| Dec 31, 2024 | 8.84 Mn |
| Sep 30, 2024 | 9.37 Mn |
| Jun 30, 2024 | 12.20 Mn |
| Mar 31, 2024 | 5.58 Mn |
| Dec 31, 2023 | 5.93 Mn |
| Sep 30, 2023 | 4.55 Mn |
| Jun 30, 2023 | 5.91 Mn |
| Mar 31, 2023 | 7.40 Mn |
| Dec 31, 2022 | 6.85 Mn |
| Sep 30, 2022 | 4.45 Mn |
| Jun 30, 2022 | 5.75 Mn |
| Mar 31, 2022 | 6.23 Mn |
| Dec 31, 2021 | 5.79 Mn |
| Sep 30, 2021 | 6.41 Mn |
G Willi Food International Payables 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=payables&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();