Wolverine World Wide (WWW) Exchange Rate Effect (2009 - 2026)
Wolverine World Wide's Exchange Rate Effect was $6.6 million in Q4 2026.
Analysis
Wolverine World Wide (WWW) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026, Exchange Rate Effect at Wolverine World Wide came in at $5.8 million.
- In earlier years, Exchange Rate Effect was -$200,000 in FY2024, $2 million in FY2023 and -$9 million in FY2022.
- The Q4 2026 figure marks the highest quarterly Exchange Rate Effect in data going back to Q3 2010.
- Per Business Quant data, WWW's Exchange Rate Effect in the three quarters before Q4 2026 was -$5.5 million (Q3 2026), $5.2 million (Q2 2026) and -$500,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | -8.00 Mn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | -10.50 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | -16.50 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | -23.18 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | -3.50 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -1.80 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 833,413.45 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | -4.00 Mn |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 6.60 Mn |
| Sep 27, 2025 | -5.50 Mn |
| Jun 28, 2025 | 5.20 Mn |
| Mar 29, 2025 | -500,000.00 |
| Dec 28, 2024 | -1.60 Mn |
| Sep 28, 2024 | -500,000.00 |
| Jun 29, 2024 | -1.90 Mn |
| Mar 30, 2024 | 3.80 Mn |
| Dec 30, 2023 | 4.50 Mn |
| Jul 1, 2023 | -2.20 Mn |
| Apr 1, 2023 | -300,000.00 |
| Dec 31, 2022 | -3.20 Mn |
| Oct 1, 2022 | 500,000.00 |
| Jul 2, 2022 | -4.50 Mn |
| Apr 2, 2022 | -1.80 Mn |
| Jan 1, 2022 | -5.40 Mn |
| Apr 3, 2021 | -1.30 Mn |
| Sep 26, 2020 | 2.20 Mn |
| Jun 27, 2020 | 100,000.00 |
| Mar 28, 2020 | -1.40 Mn |
API Access
Wolverine World Wide Exchange Rate Effect 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=exchange-rate-effect&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();