Wolverine World Wide (WWW) Non Operating Income (2009 - 2026)
Wolverine World Wide's Non Operating Income was -$6.5 million in Q2 2027, compared with -$7.1 million a year earlier.
Wolverine World Wide (WWW) Non Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wolverine World Wide's Non Operating Income was -$28.7 million through Jul 4, 2026; for FY2026, it was -$28.7 million.
- In earlier years, Non Operating Income was -$39.4 million in FY2024, -$66 million in FY2023 and -$44.5 million in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | -200,000.00 |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | - |
| 10 | Wolverine World Wide | 1.57 Bn | 946.97 Mn | 235.30 Mn | -6.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | -6.50 Mn |
| Jan 3, 2026 | -8.60 Mn |
| Sep 27, 2025 | -6.50 Mn |
| Jun 28, 2025 | -7.10 Mn |
| Mar 29, 2025 | -6.50 Mn |
| Dec 28, 2024 | -11.30 Mn |
| Sep 28, 2024 | -5.80 Mn |
| Jun 29, 2024 | -11.10 Mn |
| Mar 30, 2024 | -11.20 Mn |
| Dec 30, 2023 | -15.40 Mn |
| Sep 30, 2023 | -17.90 Mn |
| Jul 1, 2023 | -15.70 Mn |
| Apr 1, 2023 | -17.00 Mn |
| Dec 31, 2022 | -11.00 Mn |
| Oct 1, 2022 | -15.20 Mn |
| Jul 2, 2022 | -10.70 Mn |
| Apr 2, 2022 | -7.60 Mn |
| Jan 1, 2022 | -47.00 Mn |
| Oct 2, 2021 | -43.20 Mn |
| Jul 3, 2021 | -9.80 Mn |
Wolverine World Wide Non Operating Income 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=non-operating-income&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();