Wolverine World Wide (WWW) Shares Repurchased (2009 - 2022)
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Analysis
Wolverine World Wide (WWW) Shares Repurchased (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.65 Bn | 22.85 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.21 Bn | 19.17 Bn | 1.56 Bn | 302.70 Mn |
| 3 | Ralph Lauren | 22.74 Bn | 14.84 Bn | 1.44 Bn | 325.10 Mn |
| 4 | Deckers Outdoor | 12.26 Bn | 5.13 Bn | - | - |
| 5 | Lululemon Athletica | 11.47 Bn | 5.73 Bn | 1.46 Bn | 333.35 Mn |
| 6 | Levi Strauss | 8.23 Bn | 4.82 Bn | 1.07 Bn | - |
| 7 | V F | 6.82 Bn | 3.44 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.56 Bn | 5.48 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.23 Bn | 4.55 Bn | 493.89 Mn | - |
| 10 | Wolverine World Wide | 1.69 Bn | 1.05 Bn | 235.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 2, 2022 | 47.50 Mn |
| Apr 2, 2022 | 33.80 Mn |
| Jan 1, 2022 | 18.60 Mn |
| Mar 28, 2020 | 21.00 Mn |
| Dec 28, 2019 | 5.00 Mn |
| Sep 28, 2019 | 106.80 Mn |
| Jun 29, 2019 | 104.30 Mn |
| Mar 30, 2019 | 103.10 Mn |
| Dec 29, 2018 | 104.80 Mn |
| Sep 29, 2018 | 20.00 Mn |
| Jun 30, 2018 | 7.40 Mn |
| Mar 31, 2018 | 42.50 Mn |
| Sep 30, 2017 | 30.00 Mn |
| Jul 1, 2017 | 10.00 Mn |
| Apr 1, 2017 | 11.50 Mn |
| Dec 31, 2016 | 41.30 Mn |
| Sep 10, 2016 | 5.40 Mn |
| Jun 18, 2016 | 5.90 Mn |
| Mar 26, 2016 | 100,000.00 |
| Jan 2, 2016 | 92.60 Mn |
API Access
Wolverine World Wide Shares Repurchased 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=shares-repurchased&ticker=WWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "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=shares-repurchased&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();