G Willi Food International (WILCF) Price to Earnings (2011 - 2026)
G Willi Food International's Price to Earnings was 18.59 in the quarter ended Jun 30, 2026, up 125.7% from 8.24 a year earlier and up 51.1% from the prior quarter.
G Willi Food International (WILCF) Price to Earnings (2011 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at G Willi Food International came in at 14.14, up 20.5% from the prior year.
- In earlier years, Price to Earnings was 11.74 in the year ended Dec 31, 2024 (-27.8%), 16.25 in the year ended Dec 31, 2023 (+5.2%), 15.45 in the year ended Dec 31, 2022 (-15.1%) and 18.20 in the year ended Dec 31, 2021 (-0.5%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Price to Earnings since the quarter ended Jun 30, 2022.
- Compared with a year earlier, Price to Earnings has increased for four straight quarters, with growth averaging 10.1% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Jun 30, 2026 (growth of 125.7%); the worst was the quarter ended Sep 30, 2024 (a decline of 39.3%).
- Per Business Quant data, WILCF's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 12.30 (quarter ended Mar 31, 2026), 14.14 (quarter ended Dec 31, 2025) and 9.69 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | G Willi Food International | 373.19 Mn | 207.59 Mn | 18.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.59 |
| Mar 31, 2026 | 12.30 |
| Dec 31, 2025 | 14.14 |
| Sep 30, 2025 | 9.69 |
| Jun 30, 2025 | 8.24 |
| Mar 31, 2025 | 8.73 |
| Dec 31, 2024 | 10.27 |
| Sep 30, 2024 | 8.78 |
| Jun 30, 2024 | 10.65 |
| Mar 31, 2024 | 13.32 |
| Dec 31, 2023 | 16.34 |
| Sep 30, 2023 | 14.47 |
| Jun 30, 2023 | 16.44 |
| Mar 31, 2023 | 18.53 |
| Dec 31, 2022 | 15.45 |
| Sep 30, 2022 | 18.59 |
| Jun 30, 2022 | 22.86 |
| Mar 31, 2022 | 21.41 |
| Dec 31, 2021 | 18.20 |
| Sep 30, 2021 | 17.29 |
G Willi Food International Price to Earnings 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=price-to-earnings&ticker=WILCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WILCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();