Vera Bradley (VRA) EV to FCF (2011 - 2026)
Vera Bradley's EV to FCF came in at 2.17 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 98.1% from the prior quarter.
Vera Bradley (VRA) EV to FCF (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Vera Bradley reported EV to FCF of 0.74; for FY2024 (ended Feb 3, 2024), it was 3.71.
- Going back by fiscal year, EV to FCF was 5.96 in FY2022 (-63.8%), 16.49 in FY2021 (-58.7%) and 39.97 in FY2020 (+725.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly EV to FCF in data going back to fiscal Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Vera Bradley | 132.52 Mn | 56.52 Mn | 42.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.17 |
| May 2, 2026 | 112.96 |
| Aug 3, 2024 | 9.90 |
| May 4, 2024 | 3.92 |
| Feb 3, 2024 | 3.71 |
| Oct 28, 2023 | 4.17 |
| Jul 29, 2023 | 6.27 |
| Apr 30, 2022 | 5.14 |
| Jan 29, 2022 | 5.96 |
| Oct 30, 2021 | 8.53 |
| Jul 31, 2021 | 9.80 |
| May 1, 2021 | 11.30 |
| Jan 30, 2021 | 16.49 |
| Oct 31, 2020 | 6.72 |
| Aug 1, 2020 | 10.04 |
| Feb 1, 2020 | 39.97 |
| Nov 2, 2019 | 38.76 |
| Aug 3, 2019 | 19.88 |
| May 4, 2019 | 9.91 |
| Feb 2, 2019 | 4.84 |
Vera Bradley EV to FCF 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-fcf&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();