Vera Bradley (VRA) Intangibles (2019 - 2024)
Vera Bradley (VRA) posted Intangibles of $6.24 million for fiscal Q3 2025 (quarter ended Nov 2, 2024), down 54.6% from $13.73 million a year earlier and unchanged from the prior quarter.
Vera Bradley (VRA) Intangibles (2019 - 2024) Analysis & Trends
At the end of FY2024 (ended Feb 3, 2024), Vera Bradley's Intangibles came in at $7.57 million, down 52.4% from FY2023.
- Annual Intangibles has declined for four consecutive fiscal years, with a four-year compound annual growth rate of -39.4% (FY2020 to FY2024).
- In prior fiscal years, Vera Bradley's Intangibles was $15.92 million in FY2023 (-64.0%), $44.22 million in FY2022 (-6.5%), $47.3 million in FY2021 (-16.0%) and $56.31 million in FY2020.
- Quarterly Intangibles has run from a low of $6.24 million in fiscal Q2 2025 to a high of $56.31 million in fiscal Q4 2020 over five years.
- On a year-over-year basis, Intangibles has declined in each of the last 18 quarters, with an average decline of 57.6% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 6.5% (fiscal Q4 2022) and 65.0% (fiscal Q1 2024) over the last five years.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $6.24 million (Q2 2025), $6.84 million (Q1 2025) and $7.57 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 259.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 716.50 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 90.80 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 15.64 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.53 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 192.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.99 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 1.84 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.32 Bn |
| 10 | Vera Bradley | 132.52 Mn | 56.52 Mn | 42.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 2, 2024 | 6.24 Mn |
| Aug 3, 2024 | 6.24 Mn |
| May 4, 2024 | 6.84 Mn |
| Feb 3, 2024 | 7.57 Mn |
| Oct 28, 2023 | 13.73 Mn |
| Jul 29, 2023 | 14.46 Mn |
| Apr 29, 2023 | 15.19 Mn |
| Jan 28, 2023 | 15.92 Mn |
| Oct 29, 2022 | 32.00 Mn |
| Jul 30, 2022 | 32.77 Mn |
| Apr 30, 2022 | 43.45 Mn |
| Jan 29, 2022 | 44.22 Mn |
| Oct 30, 2021 | 44.99 Mn |
| Jul 31, 2021 | 45.76 Mn |
| May 1, 2021 | 46.53 Mn |
| Jan 30, 2021 | 47.30 Mn |
| Oct 31, 2020 | 49.32 Mn |
| Aug 1, 2020 | 51.59 Mn |
| May 2, 2020 | 53.87 Mn |
| Feb 1, 2020 | 56.31 Mn |
Vera Bradley Intangibles 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=intangibles&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();