Wolverine World Wide (WWW) EPS (Basic) (2010 - 2026)
Wolverine World Wide (WWW) reported EPS (Basic) of $0.38 for Q2 2027, up 15.1% from $0.33 a year earlier.
Wolverine World Wide (WWW) EPS (Basic) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Wolverine World Wide's EPS (Basic) came in at $1.40, up 33.4% year-over-year; for FY2026, it was $1.17.
- EPS (Basic) has a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- By year, EPS (Basic) came in at $0.57 in FY2024, -$0.48 in FY2023 and -$2.36 in FY2022.
- Five-year quarterly EPS (Basic) spans a low of $0.15 in Q1 2026 and a high of $0.39 in Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.70 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.36 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.23 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.17 |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn | 0.38 |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.38 |
| Jan 3, 2026 | 0.39 |
| Sep 27, 2025 | 0.31 |
| Jun 28, 2025 | 0.33 |
| Mar 29, 2025 | 0.15 |
| Dec 28, 2024 | 0.29 |
| Sep 28, 2024 | 0.29 |
| Jun 29, 2024 | 0.17 |
| Mar 30, 2024 | -0.19 |
| Dec 30, 2023 | -1.13 |
| Sep 30, 2023 | 0.11 |
| Jul 1, 2023 | 0.30 |
| Apr 1, 2023 | 0.24 |
| Dec 31, 2022 | -4.54 |
| Oct 1, 2022 | 0.50 |
| Jul 2, 2022 | 1.56 |
| Apr 2, 2022 | 0.12 |
| Jan 1, 2022 | 0.42 |
| Jul 3, 2021 | 0.54 |
| Apr 3, 2021 | 0.47 |
Wolverine World Wide EPS (Basic) 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=eps-basic&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "WWW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-basic&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();