Vera Bradley (VRA) EBITDA Margin (2010 - 2026)
Vera Bradley (VRA) recorded EBITDA Margin of 8.25% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.03 percentage points from -3.78% a year earlier and up 13.37 percentage points from the prior quarter.
Vera Bradley (VRA) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Vera Bradley's EBITDA Margin came in at -1.00% as of Aug 1, 2026, up 11.25 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -8.95%, down 3.02 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of -16.55 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at -5.94% in FY2025 (-11.80 pp), 5.86% in FY2024 (+22.41 pp), -16.54% in FY2023 (-23.82 pp) and 7.27% in FY2022 (-0.32 pp).
- The fiscal Q2 2027 figure is the highest quarterly EBITDA Margin since fiscal Q2 2024.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of -1.52 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 42.74 percentage points in fiscal Q2 2024, against a drop of 41.22 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -5.13% (Q1 2027), 5.36% (Q4 2026) and -16.62% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 13.71% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 11.49% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 15.43% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 29.25% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 25.92% |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 8.25% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.25% |
| May 2, 2026 | -5.13% |
| Jan 31, 2026 | 5.36% |
| Nov 1, 2025 | -16.62% |
| Aug 2, 2025 | -3.78% |
| May 3, 2025 | -30.34% |
| Feb 1, 2025 | -11.69% |
| Nov 2, 2024 | -8.21% |
| Aug 3, 2024 | 5.22% |
| May 4, 2024 | -11.70% |
| Feb 3, 2024 | 2.28% |
| Oct 28, 2023 | 8.20% |
| Jul 29, 2023 | 12.16% |
| Apr 29, 2023 | -3.78% |
| Jan 28, 2023 | -31.69% |
| Oct 29, 2022 | 7.29% |
| Jul 30, 2022 | -30.59% |
| Apr 30, 2022 | -5.35% |
| Jan 29, 2022 | 7.74% |
| Oct 30, 2021 | 8.15% |
Vera Bradley EBITDA 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=ebitda-margin&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();