Vera Bradley (VRA) Revenue (2010 - 2026)
Vera Bradley's Revenue came in at $71.65 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.1% from $70.86 million a year earlier and up 28.6% from the prior quarter.
Vera Bradley (VRA) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Vera Bradley reported Revenue of $274.49 million, down 1.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $269.65 million, down 15.4% from FY2025.
- Revenue has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -10.5% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $318.8 million in FY2025 (-16.9%), $383.71 million in FY2024 (-23.3%), $499.96 million in FY2023 (-7.5%) and $540.45 million in FY2022 (+15.4%).
- The five-year range for quarterly Revenue is $46.19 million (fiscal Q4 2024) to $149.58 million (fiscal Q4 2022).
- Year-over-year, Revenue increased in three of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Revenue over five years came in fiscal Q4 2025 (growth of 87.0%), and the weakest in fiscal Q4 2024 (a decline of 68.6%).
- Business Quant data shows VRA's Revenue at $55.7 million (Q1 2027), $84.89 million (Q4 2026) and $62.25 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Vera Bradley | 122.48 Mn | 46.48 Mn | 42.81 Mn | 71.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 71.65 Mn |
| May 2, 2026 | 55.70 Mn |
| Jan 31, 2026 | 84.89 Mn |
| Nov 1, 2025 | 62.25 Mn |
| Aug 2, 2025 | 70.86 Mn |
| May 3, 2025 | 51.65 Mn |
| Feb 1, 2025 | 86.36 Mn |
| Nov 2, 2024 | 70.48 Mn |
| Aug 3, 2024 | 94.00 Mn |
| May 4, 2024 | 67.95 Mn |
| Feb 3, 2024 | 46.19 Mn |
| Oct 28, 2023 | 114.99 Mn |
| Jul 29, 2023 | 128.17 Mn |
| Apr 29, 2023 | 94.36 Mn |
| Jan 28, 2023 | 147.09 Mn |
| Oct 29, 2022 | 124.04 Mn |
| Jul 30, 2022 | 130.37 Mn |
| Apr 30, 2022 | 98.46 Mn |
| Jan 29, 2022 | 149.58 Mn |
| Oct 30, 2021 | 134.74 Mn |
Vera Bradley Revenue 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=revenue&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();