G Willi Food International (WILCF) EV to EBITDA (2011 - 2026)
G Willi Food International's (WILCF) EV to EBITDA was 11.00 for the quarter ended Jun 30, 2026, up 81.7% from 6.05 a year earlier and up 30.4% from the prior quarter.
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Analysis
G Willi Food International (WILCF) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, G Willi Food International's EV to EBITDA came in at 7.85, up 146.8% year-over-year; for the year ended Dec 31, 2025, it was 14.32, up 46.4% from the prior year.
- By year, EV to EBITDA came in at 9.78 in the year ended Dec 31, 2024 (-29.7%), 13.91 in the year ended Dec 31, 2023 (+40.4%), 9.91 in the year ended Dec 31, 2022 (-24.9%) and 13.20 in the year ended Dec 31, 2021 (+15.7%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly EV to EBITDA since the quarter ended Mar 31, 2024.
- Year over year, EV to EBITDA has now increased in each of the last four quarters, with growth averaging 11.7% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Mar 31, 2026 (growth of 89.1%); the low point was the quarter ended Mar 31, 2025 (a decline of 70.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 8.44 (quarter ended Mar 31, 2026), 9.94 (quarter ended Dec 31, 2025) and 7.17 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn |
| 10 | G Willi Food International | 359.40 Mn | 193.80 Mn | 18.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.00 |
| Mar 31, 2026 | 8.44 |
| Dec 31, 2025 | 9.94 |
| Sep 30, 2025 | 7.17 |
| Jun 30, 2025 | 6.05 |
| Mar 31, 2025 | 4.46 |
| Dec 31, 2024 | 5.53 |
| Sep 30, 2024 | 4.69 |
| Jun 30, 2024 | 7.49 |
| Mar 31, 2024 | 14.85 |
| Dec 31, 2023 | 13.91 |
| Sep 30, 2023 | 11.89 |
| Jun 30, 2023 | 12.19 |
| Mar 31, 2023 | 11.19 |
| Dec 31, 2022 | 9.91 |
| Sep 30, 2022 | 10.30 |
| Jun 30, 2022 | 12.26 |
| Mar 31, 2022 | 14.47 |
| Dec 31, 2021 | 13.20 |
| Sep 30, 2021 | 14.36 |
API Access
G Willi Food International EV to EBITDA 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=ev-to-ebitda&ticker=WILCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();