Vera Bradley (VRA) Assets (2011 - 2026)
Vera Bradley's Assets came in at $239.27 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.1% from $266.18 million a year earlier but up 9.1% from the prior quarter.
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Analysis
Vera Bradley (VRA) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vera Bradley's Assets was $234.01 million, down 23.7% from FY2025.
- Assets has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -14.6% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $306.69 million in FY2025 (-19.5%), $380.79 million in FY2024 (-5.9%), $404.5 million in FY2023 (-21.8%) and $517.55 million in FY2022 (+0.7%).
- The five-year range for quarterly Assets is $219.24 million (fiscal Q1 2027) to $520.74 million (fiscal Q3 2022).
- Year-over-year, Assets has declined for 17 consecutive quarters, with an average decline of 20.9% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q4 2022 (growth of 0.7%), and the weakest in fiscal Q3 2026 (a decline of 32.1%).
- Business Quant data shows VRA's Assets at $219.24 million (Q1 2027), $234.01 million (Q4 2026) and $243.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 38.41 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.69 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 7.66 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 3.69 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 8.48 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 6.63 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 10.06 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 6.58 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.36 Bn |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 239.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 239.27 Mn |
| May 2, 2026 | 219.24 Mn |
| Jan 31, 2026 | 234.01 Mn |
| Nov 1, 2025 | 243.68 Mn |
| Aug 2, 2025 | 266.18 Mn |
| May 3, 2025 | 267.94 Mn |
| Feb 1, 2025 | 306.69 Mn |
| Nov 2, 2024 | 358.98 Mn |
| Aug 3, 2024 | 379.21 Mn |
| May 4, 2024 | 368.69 Mn |
| Feb 3, 2024 | 380.79 Mn |
| Oct 28, 2023 | 382.83 Mn |
| Jul 29, 2023 | 391.50 Mn |
| Apr 29, 2023 | 379.93 Mn |
| Jan 28, 2023 | 404.50 Mn |
| Oct 29, 2022 | 461.34 Mn |
| Jul 30, 2022 | 483.22 Mn |
| Apr 30, 2022 | 503.70 Mn |
| Jan 29, 2022 | 517.55 Mn |
| Oct 30, 2021 | 520.74 Mn |
API Access
Vera Bradley Assets 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=assets&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();