V F (VFC) Finished Goods (2009 - 2019)
V F's Finished Goods was $1.71 billion in fiscal Q4 2019 (quarter ended Mar 30, 2019), up 3.5% from $1.65 billion a year earlier.
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Analysis
V F (VFC) Finished Goods (2009 - 2019) Analysis & Trends
From fiscal Q4 2009 onward, V F has reported Finished Goods for 17 quarters.
- Finished Goods shows a four-year compound annual growth rate of 6.8% (FY2015 to FY2019).
- In earlier fiscal years, Finished Goods was $1.64 billion in FY2018 (+9.9%), $1.49 billion in FY2017 (+20.9%), $1.23 billion in FY2016 (-6.1%) and $1.31 billion in FY2015.
- The fiscal Q4 2019 figure marks the highest quarterly Finished Goods since fiscal Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.71 Bn | 21.91 Bn | 4.80 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.88 Bn | 14.97 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - |
| 5 | Lululemon Athletica | 11.00 Bn | 5.25 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.14 Bn | 4.72 Bn | 1.07 Bn |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Crocs | 5.90 Bn | 5.32 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2019 | 1.71 Bn |
| Dec 29, 2018 | 1.64 Bn |
| Mar 31, 2018 | 1.65 Bn |
| Dec 30, 2017 | 1.49 Bn |
| Dec 31, 2016 | 1.23 Bn |
| Oct 1, 2016 | 1.74 Bn |
| Jul 2, 2016 | 1.53 Bn |
| Apr 2, 2016 | 1.51 Bn |
| Jan 2, 2016 | 1.31 Bn |
| Oct 3, 2015 | 1.72 Bn |
| Jul 4, 2015 | 1.43 Bn |
| Apr 4, 2015 | 1.37 Bn |
| Jan 3, 2015 | 1.23 Bn |
| Sep 27, 2014 | 1.57 Bn |
| Jun 28, 2014 | 1.36 Bn |
| Mar 29, 2014 | 1.28 Bn |
| Dec 28, 2013 | 1.16 Bn |
| Sep 28, 2013 | 1.50 Bn |
| Jun 29, 2013 | 1.27 Bn |
| Mar 30, 2013 | 1.16 Bn |
API Access
V F Finished Goods 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=finished-goods&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "VFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();