Wolverine World Wide (WWW) EPS (Diluted) (2010 - 2026)
Wolverine World Wide (WWW) posted EPS (Diluted) of $0.38 for Q2 2027, up 15.1% from $0.33 a year earlier.
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Analysis
Wolverine World Wide (WWW) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EPS (Diluted) at Wolverine World Wide was $1.41, up 33.4% year-over-year; for FY2026, it came in at $1.17.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- In prior years, Wolverine World Wide's EPS (Diluted) was $0.57 in FY2024, -$0.48 in FY2023 and -$2.36 in FY2022.
- Quarterly EPS (Diluted) has run from a low of $0.15 in Q1 2026 to a high of $0.39 in Q4 2026 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.76 Bn | 21.96 Bn | 4.80 Bn | 0.48 |
| 2 | Tapestry | 23.84 Bn | 19.80 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 22.96 Bn | 15.05 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.96 Bn | 5.21 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn | 0.43 |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -0.25 |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn | -0.31 |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 10 | Wolverine World Wide | 1.66 Bn | 1.02 Bn | 235.30 Mn | 0.38 |
Historic Data
Download Data
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 | 0.49 |
| Jul 2, 2022 | 1.56 |
| Apr 2, 2022 | 0.12 |
| Jan 1, 2022 | 0.41 |
| Jul 3, 2021 | 0.53 |
| Apr 3, 2021 | 0.46 |
API Access
Wolverine World Wide EPS (Diluted) 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-diluted&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();