Vera Bradley (VRA) Price to FCF (2011 - 2026)
Vera Bradley's Price to FCF came in at 3.33 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 97.4% from the prior quarter.
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Analysis
Vera Bradley (VRA) Price to FCF (2011 - 2026) Analysis & Trends
For FY2024 (ended Feb 3, 2024), Vera Bradley's Price to FCF was 5.46.
- Going back by fiscal year, Price to FCF was 7.63 in FY2022 (-59.6%), 18.87 in FY2021 (-57.0%) and 43.92 in FY2020 (+411.2%).
- The fiscal Q2 2027 figure represents the lowest quarterly Price to FCF in data going back to fiscal Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Vera Bradley | 146.58 Mn | 70.58 Mn | 42.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.33 |
| May 2, 2026 | 126.43 |
| Aug 3, 2024 | 13.25 |
| May 4, 2024 | 5.35 |
| Feb 3, 2024 | 5.46 |
| Oct 28, 2023 | 5.45 |
| Jul 29, 2023 | 8.28 |
| Apr 30, 2022 | 6.16 |
| Jan 29, 2022 | 7.63 |
| Oct 30, 2021 | 9.85 |
| Jul 31, 2021 | 11.18 |
| May 1, 2021 | 12.01 |
| Jan 30, 2021 | 18.87 |
| Oct 31, 2020 | 8.68 |
| Aug 1, 2020 | 14.73 |
| Feb 1, 2020 | 43.92 |
| Nov 2, 2019 | 39.28 |
| Aug 3, 2019 | 21.25 |
| May 4, 2019 | 13.43 |
| Feb 2, 2019 | 8.59 |
API Access
Vera Bradley Price 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=price-to-fcf&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();