Vera Bradley (VRA) FCF Margin (2010 - 2026)
Vera Bradley's FCF Margin came in at 31.08% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 39.74 percentage points from -8.66% a year earlier and up 41.10 percentage points from the prior quarter.
Vera Bradley (VRA) FCF Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Vera Bradley reported FCF Margin of 10.69%, up 22.71 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -4.92%, up 2.76 percentage points from FY2025.
- FCF Margin carries a five-year change of -8.11 percentage points (FY2021 to FY2026).
- Going back by fiscal year, FCF Margin was -7.68% in FY2025 (-19.20 pp), 11.53% in FY2024 (+15.86 pp), -4.33% in FY2023 (-10.69 pp) and 6.36% in FY2022 (+3.17 pp).
- The fiscal Q2 2027 figure represents the highest quarterly FCF Margin since fiscal Q4 2024.
- Year-over-year, FCF Margin has increased for four consecutive quarters, with an average year-over-year change of -0.15 percentage points over the last eight quarters.
- The fastest year-over-year change in FCF Margin over five years came in fiscal Q4 2024 (a gain of 40.66 percentage points), and the weakest in fiscal Q3 2025 (a drop of 39.19 percentage points).
- Business Quant data shows VRA's FCF Margin at -10.02% (Q1 2027), 20.15% (Q4 2026) and -7.16% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.66% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 24.99% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 14.59% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 9.32% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 14.78% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 23.21% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.90% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 28.06% |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 31.08% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 31.08% |
| May 2, 2026 | -10.02% |
| Jan 31, 2026 | 20.15% |
| Nov 1, 2025 | -7.16% |
| Aug 2, 2025 | -8.66% |
| May 3, 2025 | -38.28% |
| Feb 1, 2025 | 20.07% |
| Nov 2, 2024 | -35.48% |
| Aug 3, 2024 | -1.48% |
| May 4, 2024 | -22.68% |
| Feb 3, 2024 | 55.66% |
| Oct 28, 2023 | 3.71% |
| Jul 29, 2023 | 18.59% |
| Apr 29, 2023 | -10.14% |
| Jan 28, 2023 | 15.00% |
| Oct 29, 2022 | -9.85% |
| Jul 30, 2022 | -14.33% |
| Apr 30, 2022 | -13.03% |
| Jan 29, 2022 | 12.83% |
| Oct 30, 2021 | 0.72% |
Vera Bradley FCF Margin 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=fcf-margin&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();