Vera Bradley (VRA) Long-Term Debt Issuances (2010 - 2013)
Vera Bradley's Long-Term Debt Issuances was $30 million in FY2014 (year ended Feb 1, 2014), down 68.8% from $96 million in FY2013.
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Analysis
Vera Bradley (VRA) Long-Term Debt Issuances (2010 - 2013) Analysis & Trends
From FY2010 onward, Vera Bradley has reported Long-Term Debt Issuances for 5 fiscal years.
- Long-Term Debt Issuances shows a four-year compound annual growth rate of -0.2% (FY2010 to FY2014).
- The FY2014 figure marks the lowest annual Long-Term Debt Issuances in data going back to FY2010.
- Per Business Quant data, Long-Term Debt Issuances in earlier fiscal years was $96 million in FY2013 (+178.7%), $34.45 million in FY2012 (-67.4%), $105.67 million in FY2011 (+248.8%) and $30.3 million in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | - |
| 10 | Vera Bradley | 173.56 Mn | 97.56 Mn | 42.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 3, 2013 | 5.00 Mn |
| May 4, 2013 | 25.00 Mn |
| Feb 2, 2013 | 15.00 Mn |
| Oct 27, 2012 | 18.00 Mn |
| Jul 28, 2012 | 48.00 Mn |
| Apr 28, 2012 | 15.00 Mn |
| Jan 28, 2012 | 7.75 Mn |
| Oct 29, 2011 | 10.00 Mn |
| Jul 30, 2011 | 11.70 Mn |
| Apr 30, 2011 | 5.00 Mn |
| Oct 30, 2010 | 76.77 Mn |
API Access
Vera Bradley Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();