Vera Bradley (VRA) Gross Margin (2010 - 2026)
Vera Bradley (VRA) recorded Gross Margin of 59.76% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.66 percentage points from 50.10% a year earlier and up 8.00 percentage points from the prior quarter.
Vera Bradley (VRA) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Vera Bradley's Gross Margin came in at 50.43% as of Aug 1, 2026, up 1.62 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 46.37%, down 3.45 percentage points from FY2025.
- Annual Gross Margin has a five-year change of -10.33 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 49.82% in FY2025 (-3.33 pp), 53.16% in FY2024 (+5.36 pp), 47.79% in FY2023 (-5.49 pp) and 53.28% in FY2022 (-3.42 pp).
- The fiscal Q2 2027 figure is the highest quarterly Gross Margin since fiscal Q2 2021.
- On a year-over-year basis, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +1.20 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 9.77 percentage points in fiscal Q2 2024, against a drop of 12.44 percentage points in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 51.76% (Q1 2027), 47.81% (Q4 2026) and 42.06% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.41% |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 59.76% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 59.76% |
| May 2, 2026 | 51.76% |
| Jan 31, 2026 | 47.81% |
| Nov 1, 2025 | 42.06% |
| Aug 2, 2025 | 50.10% |
| May 3, 2025 | 44.08% |
| Feb 1, 2025 | 45.94% |
| Nov 2, 2024 | 54.51% |
| Aug 3, 2024 | 49.69% |
| May 4, 2024 | 50.10% |
| Feb 3, 2024 | 37.22% |
| Oct 28, 2023 | 54.79% |
| Jul 29, 2023 | 56.19% |
| Apr 29, 2023 | 54.84% |
| Jan 28, 2023 | 40.82% |
| Oct 29, 2022 | 53.11% |
| Jul 30, 2022 | 46.42% |
| Apr 30, 2022 | 53.34% |
| Jan 29, 2022 | 50.90% |
| Oct 30, 2021 | 53.64% |
Vera Bradley Gross 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=gross-margin&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();