Vera Bradley (VRA) EV to EBIT (2011 - 2024)
Vera Bradley's (VRA) EV to EBIT came in at 20.35 for fiscal Q1 2025 (quarter ended May 4, 2024), up 43.9% from the prior quarter.
Vera Bradley (VRA) EV to EBIT (2011 - 2024) Analysis & Trends
For the trailing twelve months through May 4, 2024, EV to EBIT at Vera Bradley was -3.76; for FY2024 (ended Feb 3, 2024), it came in at 14.14.
- In prior fiscal years, Vera Bradley's EV to EBIT was 7.61 in FY2022 (-59.7%), 18.88 in FY2021 (+25.9%) and 15.00 in FY2020 (+137.1%).
- The fiscal Q1 2025 figure stands as the highest quarterly EV to EBIT since fiscal Q3 2020.
- The strongest year-over-year quarter for EV to EBIT in the past five years was fiscal Q4 2020, with growth of 137.1%; the weakest was fiscal Q3 2021, with a decline of 71.8%.
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
| Date | Value |
|---|---|
| May 4, 2024 | 20.35 |
| Feb 3, 2024 | 14.14 |
| Apr 30, 2022 | 7.99 |
| Jan 29, 2022 | 7.61 |
| Oct 30, 2021 | 10.40 |
| Jul 31, 2021 | 10.32 |
| May 1, 2021 | 9.67 |
| Jan 30, 2021 | 18.88 |
| Oct 31, 2020 | 7.69 |
| Aug 1, 2020 | 12.99 |
| Feb 1, 2020 | 15.00 |
| Nov 2, 2019 | 27.25 |
| Aug 3, 2019 | 16.96 |
| May 4, 2019 | 12.62 |
| Feb 2, 2019 | 6.33 |
| Nov 3, 2018 | 11.66 |
| Aug 4, 2018 | 13.00 |
| May 5, 2018 | 13.91 |
| Feb 3, 2018 | 13.88 |
| Oct 28, 2017 | 42.47 |
Vera Bradley EV to EBIT 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-ebit&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();