G Willi Food International (WILCF) Change in Cash (2010 - 2026)
G Willi Food International's Change in Cash came in at -$2 million for the quarter ended Jun 30, 2026, compared with -$7.25 million a year earlier.
G Willi Food International (WILCF) Change in Cash (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, G Willi Food International reported Change in Cash of $14.89 million; for the year ended Dec 31, 2025, it came in at $901,000.
- Change in Cash carries a five-year compound annual growth rate of -48.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Change in Cash was -$4.72 million in the year ended Dec 31, 2024, -$3.79 million in the year ended Dec 31, 2023, -$9.58 million in the year ended Dec 31, 2022 and -$336,000 in the year ended Dec 31, 2021.
- The five-year range for quarterly Change in Cash is -$12.06 million (the quarter ended Jun 30, 2024) to $6.72 million (the quarter ended Mar 31, 2026).
- Year-over-year, Change in Cash increased in two of the last four quarters, with growth averaging 28.5%.
- Business Quant data shows WILCF's Change in Cash at $6.72 million (quarter ended Mar 31, 2026), $6.12 million (quarter ended Dec 31, 2025) and $4.06 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) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 673.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 1.56 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 62.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 236.48 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 1.07 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 51.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 7.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.32 Mn |
| 10 | G Willi Food International | 363.58 Mn | 197.98 Mn | 18.94 Mn | -2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.00 Mn |
| Mar 31, 2026 | 6.72 Mn |
| Dec 31, 2025 | 6.12 Mn |
| Sep 30, 2025 | 4.06 Mn |
| Jun 30, 2025 | -7.25 Mn |
| Mar 31, 2025 | -2.03 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 4.46 Mn |
| Jun 30, 2024 | -12.06 Mn |
| Mar 31, 2024 | -817,000.00 |
| Dec 31, 2023 | 4.30 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | -5.30 Mn |
| Mar 31, 2023 | -5.39 Mn |
| Dec 31, 2022 | -2.50 Mn |
| Sep 30, 2022 | -2.84 Mn |
| Jun 30, 2022 | -6.65 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | -5.01 Mn |
| Sep 30, 2021 | -10.36 Mn |
G Willi Food International Change in Cash 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=change-in-cash&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();