G Willi Food International (WILCF) Inventory (2009 - 2026)
G Willi Food International (WILCF) reported Inventory of $31.11 million for the quarter ended Jun 30, 2026, down 20.5% from $39.12 million a year earlier but up 6.7% from the prior quarter.
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Analysis
G Willi Food International (WILCF) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, G Willi Food International posted Inventory of $31.59 million, up 2.6% from the prior year.
- Inventory has a five-year compound annual growth rate of 10.5% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $30.79 million in the year ended Dec 31, 2024 (+79.8%), $17.13 million in the year ended Dec 31, 2023 (-13.6%), $19.83 million in the year ended Dec 31, 2022 (+17.3%) and $16.91 million in the year ended Dec 31, 2021 (-11.6%).
- Five-year quarterly Inventory spans a low of $13.58 million in the quarter ended Sep 30, 2021 and a high of $39.12 million in the quarter ended Jun 30, 2025.
- Year over year, Inventory gained in six of the last eight quarters, with growth averaging 24.2%.
- The high point for year-over-year Inventory in five years was the quarter ended Mar 31, 2025 (growth of 93.2%); the low point was the quarter ended Mar 31, 2026 (a decline of 25.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $29.17 million (quarter ended Mar 31, 2026), $31.59 million (quarter ended Dec 31, 2025) and $32.79 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 19.32 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 | 6.55 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 3.52 Bn |
| 10 | G Willi Food International | 345.02 Mn | 182.02 Mn | 18.94 Mn | 31.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.11 Mn |
| Mar 31, 2026 | 29.17 Mn |
| Dec 31, 2025 | 29.62 Mn |
| Sep 30, 2025 | 32.79 Mn |
| Jun 30, 2025 | 39.12 Mn |
| Mar 31, 2025 | 38.91 Mn |
| Dec 31, 2024 | 26.89 Mn |
| Sep 30, 2024 | 29.58 Mn |
| Jun 30, 2024 | 36.15 Mn |
| Mar 31, 2024 | 20.14 Mn |
| Dec 31, 2023 | 17.24 Mn |
| Sep 30, 2023 | 20.43 Mn |
| Jun 30, 2023 | 26.15 Mn |
| Mar 31, 2023 | 25.97 Mn |
| Dec 31, 2022 | 20.44 Mn |
| Sep 30, 2022 | 18.80 Mn |
| Jun 30, 2022 | 19.97 Mn |
| Mar 31, 2022 | 18.41 Mn |
| Dec 31, 2021 | 19.18 Mn |
| Sep 30, 2021 | 13.58 Mn |
API Access
G Willi Food International Inventory 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=inventory&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();