Vera Bradley (VRA) Short term Debt (2011 - 2013)
Vera Bradley (VRA) posted Short term Debt of $42,000 for fiscal Q1 2014 (quarter ended May 4, 2013), down 53.3% from $90,000 a year earlier and down 27.6% from the prior quarter.
Vera Bradley (VRA) Short term Debt (2011 - 2013) Analysis & Trends
At the end of FY2013 (ended Feb 2, 2013), Vera Bradley's Short term Debt came in at $58,000, down 34.8% from FY2012.
- In prior fiscal years, Vera Bradley's Short term Debt was $89,000 in FY2012 (+7.2%) and $83,000 in FY2011.
- The fiscal Q1 2014 figure stands as the lowest quarterly Short term Debt in data going back to fiscal Q4 2011.
- On a year-over-year basis, Short term Debt has declined in each of the last three quarters, with an average decline of 18.7% over the last five quarters.
- According to Business Quant data, Short term Debt for the three prior fiscal quarters was $58,000 (Q4 2013), $73,000 (Q3 2013) and $90,000 (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Vera Bradley | 122.48 Mn | 46.48 Mn | 42.81 Mn |
Historic Data
| Date | Value |
|---|---|
| May 4, 2013 | 42,000.00 |
| Feb 2, 2013 | 58,000.00 |
| Oct 27, 2012 | 73,000.00 |
| Jul 28, 2012 | 90,000.00 |
| Apr 28, 2012 | 90,000.00 |
| Jan 28, 2012 | 89,000.00 |
| Oct 29, 2011 | 88,000.00 |
| Jul 30, 2011 | 86,000.00 |
| Jan 29, 2011 | 83,000.00 |
Vera Bradley Short term 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=short-term-debt&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();