Vera Bradley (VRA) EV to CFO (2011 - 2026)
Vera Bradley's (VRA) EV to CFO was 2.05 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 94.8% from the prior quarter.
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Analysis
Vera Bradley (VRA) EV to CFO (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Vera Bradley's EV to CFO came in at 0.70; for FY2024 (ended Feb 3, 2024), it was 3.42.
- By fiscal year, EV to CFO came in at 5.14 in FY2022 (-56.9%), 11.92 in FY2021 (-15.9%) and 14.16 in FY2020 (+259.9%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly EV to CFO in data going back to fiscal Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Vera Bradley | 122.48 Mn | 46.48 Mn | 42.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.05 |
| May 2, 2026 | 39.14 |
| Aug 3, 2024 | 6.91 |
| May 4, 2024 | 3.56 |
| Feb 3, 2024 | 3.42 |
| Oct 28, 2023 | 3.81 |
| Jul 29, 2023 | 5.09 |
| Apr 30, 2022 | 4.25 |
| Jan 29, 2022 | 5.14 |
| Oct 30, 2021 | 7.50 |
| Jul 31, 2021 | 8.81 |
| May 1, 2021 | 10.02 |
| Jan 30, 2021 | 11.92 |
| Oct 31, 2020 | 5.21 |
| Aug 1, 2020 | 5.14 |
| May 2, 2020 | 118.71 |
| Feb 1, 2020 | 14.16 |
| Nov 2, 2019 | 16.64 |
| Aug 3, 2019 | 12.52 |
| May 4, 2019 | 7.97 |
API Access
Vera Bradley EV to CFO 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-cfo&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();