Vera Bradley (VRA) EV to EBITDA (2011 - 2024)
Vera Bradley's (VRA) EV to EBITDA was 17.51 for fiscal Q2 2025 (quarter ended Aug 3, 2024), up 111.1% from the prior quarter.
Powered by 
Analysis
Vera Bradley (VRA) EV to EBITDA (2011 - 2024) Analysis & Trends
Over the twelve months ended Aug 3, 2024, Vera Bradley's EV to EBITDA came in at -7.30; for FY2024 (ended Feb 3, 2024), it came in at 7.30.
- By fiscal year, EV to EBITDA came in at 5.21 in FY2022 (-24.8%), 6.94 in FY2021 (+2.8%) and 6.75 in FY2020 (+71.8%).
- The fiscal Q2 2025 figure ranks as the highest quarterly EV to EBITDA since fiscal Q3 2012.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q2 2022 (growth of 147.1%); the low point was fiscal Q2 2021 (a decline of 69.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 3, 2024 | 17.51 |
| May 4, 2024 | 8.30 |
| Feb 3, 2024 | 7.30 |
| Apr 30, 2022 | 5.01 |
| Jan 29, 2022 | 5.21 |
| Oct 30, 2021 | 6.94 |
| Jul 31, 2021 | 6.95 |
| May 1, 2021 | 6.40 |
| Jan 30, 2021 | 6.93 |
| Oct 31, 2020 | 3.55 |
| Aug 1, 2020 | 2.81 |
| May 2, 2020 | 5.41 |
| Feb 1, 2020 | 6.75 |
| Nov 2, 2019 | 10.88 |
| Aug 3, 2019 | 9.25 |
| May 4, 2019 | 7.64 |
| Feb 2, 2019 | 3.93 |
| Nov 3, 2018 | 7.54 |
| Aug 4, 2018 | 7.71 |
| May 5, 2018 | 6.78 |
API Access
Vera Bradley EV to EBITDA 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=ev-to-ebitda&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();