Vera Bradley (VRA) Finished Goods (2011 - 2013)
Vera Bradley (VRA) reported Finished Goods of $122.52 million for fiscal Q2 2014 (quarter ended Aug 3, 2013), up 23.9% from $98.85 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Vera Bradley (VRA) Finished Goods (2011 - 2013) Analysis & Trends
At the end of FY2013 (ended Feb 2, 2013), Vera Bradley posted Finished Goods of $111.24 million, up 16.4% from FY2012.
- By fiscal year, Finished Goods came in at $95.53 million in FY2012 (+10.8%) and $86.19 million in FY2011.
- The fiscal Q2 2014 figure ranks as the highest quarterly Finished Goods in data going back to fiscal Q4 2011.
- Year over year, Finished Goods has now increased in each of the last three quarters, with growth averaging 24.9% over the last four quarters.
- Per Business Quant data, the three fiscal quarters before Q2 2014 came in at $119.18 million (Q1 2014), $111.24 million (Q4 2013) and $108.43 million (Q3 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 3, 2013 | 122.52 Mn |
| May 4, 2013 | 119.18 Mn |
| Feb 2, 2013 | 111.24 Mn |
| Oct 27, 2012 | 108.43 Mn |
| Jul 28, 2012 | 98.85 Mn |
| Apr 28, 2012 | 80.29 Mn |
| Jan 28, 2012 | 95.53 Mn |
| Jan 29, 2011 | 86.19 Mn |
API Access
Vera Bradley 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=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "VRA", "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=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();