Vera Bradley (VRA) Non Operating Interest Expenses (2010 - 2017)
Vera Bradley (VRA) recorded Non Operating Interest Expenses of $8,000 in fiscal Q4 2017 (quarter ended Jan 28, 2017), down 85.2% from $54,000 a year earlier and down 86.4% from the prior quarter.
Vera Bradley (VRA) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
For FY2017 (ended Jan 28, 2017), Vera Bradley reported Non Operating Interest Expenses of $178,000, down 32.3% from FY2016.
- Annual Non Operating Interest Expenses has declined for five straight fiscal years, with a five-year compound annual growth rate of -31.1% (FY2012 to FY2017).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $263,000 in FY2016 (-35.4%), $407,000 in FY2015 (-28.7%), $571,000 in FY2014 (-15.9%) and $679,000 in FY2013 (-40.8%).
- The fiscal Q4 2017 figure is the lowest quarterly Non Operating Interest Expenses since fiscal Q4 2011.
- On a year-over-year basis, Non Operating Interest Expenses has declined for six consecutive quarters, with an average decline of 6.4% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 200.0% in fiscal Q2 2016, against a decline of 85.2% in fiscal Q4 2017 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $59,000 (Q3 2017), $63,000 (Q2 2017) and $48,000 (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Vera Bradley | 132.52 Mn | 56.52 Mn | 42.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 28, 2017 | 8,000.00 |
| Oct 29, 2016 | 59,000.00 |
| Jul 30, 2016 | 63,000.00 |
| Apr 30, 2016 | 48,000.00 |
| Jan 30, 2016 | 54,000.00 |
| Oct 31, 2015 | 60,000.00 |
| Aug 1, 2015 | 72,000.00 |
| May 2, 2015 | 77,000.00 |
| Jan 31, 2015 | 88,000.00 |
| Nov 1, 2014 | 215,000.00 |
| Aug 2, 2014 | 24,000.00 |
| May 3, 2014 | 80,000.00 |
| Feb 1, 2014 | 101,000.00 |
| Nov 2, 2013 | 139,000.00 |
| Aug 3, 2013 | 82,000.00 |
| May 4, 2013 | 141,000.00 |
| Feb 2, 2013 | 164,000.00 |
| Oct 27, 2012 | 172,000.00 |
| Jul 28, 2012 | 152,000.00 |
| Apr 28, 2012 | 191,000.00 |
Vera Bradley Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();