Wolverine World Wide (WWW) Current Debt (2013 - 2020)
Wolverine World Wide's Current Debt came in at $108 million for Q2 2021, down 74.9% from the prior quarter.
Wolverine World Wide (WWW) Current Debt (2013 - 2020) Analysis & Trends
Over the trailing twelve months to Jun 27, 2020, Wolverine World Wide reported Current Debt of $388 million; for FY2019, it was $235 million, up 88.8% from FY2018.
- Current Debt carries a three-year compound annual growth rate of 323.2% (FY2016 to FY2019).
- Going back by year, Current Debt was $124.5 million in FY2018, -$2.6 million in FY2017 and $3.1 million in FY2016.
- The Q2 2021 figure represents the lowest quarterly Current Debt since Q1 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | - |
| 10 | Wolverine World Wide | 1.57 Bn | 948.61 Mn | 235.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2020 | 108.00 Mn |
| Mar 28, 2020 | 430.00 Mn |
| Dec 28, 2019 | -133.30 Mn |
| Sep 28, 2019 | -16.70 Mn |
| Jun 29, 2019 | 184.00 Mn |
| Mar 30, 2019 | 201.00 Mn |
| Dec 29, 2018 | 123.50 Mn |
| Sep 29, 2018 | 200,000.00 |
| Jun 30, 2018 | 500,000.00 |
| Mar 31, 2018 | 300,000.00 |
| Dec 30, 2017 | -2.90 Mn |
| Sep 30, 2017 | 1.90 Mn |
| Jul 1, 2017 | -1.00 Mn |
| Apr 1, 2017 | -600,000.00 |
| Dec 31, 2016 | 1.90 Mn |
| Sep 10, 2016 | 1.20 Mn |
| Jun 18, 2016 | -60.00 Mn |
| Mar 26, 2016 | 60.00 Mn |
| Mar 28, 2015 | 14.50 Mn |
| Mar 22, 2014 | 34.00 Mn |
Wolverine World Wide Current Debt 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=current-debt&ticker=WWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=WWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();