Vera Bradley (VRA) Gains from Sales and Divestitures (2010 - 2025)
Vera Bradley's Gains from Sales and Divestitures came in at -$15.16 million for FY2026 (year ended Jan 31, 2026).
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Analysis
Vera Bradley (VRA) Gains from Sales and Divestitures (2010 - 2025) Analysis & Trends
Going back to FY2010, Vera Bradley's Gains from Sales and Divestitures data covers 10 fiscal years.
- The FY2026 figure represents the highest annual Gains from Sales and Divestitures in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Vera Bradley | 146.58 Mn | 70.58 Mn | 42.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2025 | 37,000.00 |
| May 3, 2025 | -15.20 Mn |
| Jan 28, 2017 | -4,000.00 |
| Jul 30, 2016 | -10,000.00 |
| Jan 30, 2016 | -36,000.00 |
| Oct 31, 2015 | -53,000.00 |
| May 2, 2015 | -52,000.00 |
| Jan 31, 2015 | -21,000.00 |
| Feb 1, 2014 | -20,000.00 |
| Aug 3, 2013 | -7,000.00 |
| May 4, 2013 | -2,000.00 |
| Feb 2, 2013 | -12,000.00 |
| Jul 28, 2012 | -4,000.00 |
| Apr 28, 2012 | -21,000.00 |
| Oct 30, 2010 | -4,000.00 |
API Access
Vera Bradley Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();