Vera Bradley (VRA) Operating Margin (2010 - 2026)
Vera Bradley's Operating Margin was 5.83% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.31 percentage points from -6.48% a year earlier and up 14.18 percentage points from the prior quarter.
Vera Bradley (VRA) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vera Bradley's Operating Margin was -3.62% through Aug 1, 2026, up 11.78 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -11.83%, down 2.80 percentage points from FY2025.
- Operating Margin shows a five-year change of -14.62 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was -9.03% in FY2025 (-12.06 pp), 3.03% in FY2024 (+22.00 pp), -18.98% in FY2023 (-23.96 pp) and 4.98% in FY2022 (+2.19 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Operating Margin since fiscal Q3 2024.
- Compared with a year earlier, Operating Margin has increased for three straight quarters, with an average year-over-year change of -1.01 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2024 (a gain of 42.89 percentage points); the worst was fiscal Q2 2023 (a drop of 41.45 percentage points).
- Per Business Quant data, VRA's Operating Margin in the three fiscal quarters before Q2 2027 was -8.34% (Q1 2027), 3.19% (Q4 2026) and -19.56% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 24.22% |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 5.83% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.83% |
| May 2, 2026 | -8.34% |
| Jan 31, 2026 | 3.19% |
| Nov 1, 2025 | -19.56% |
| Aug 2, 2025 | -6.48% |
| May 3, 2025 | -34.57% |
| Feb 1, 2025 | -14.38% |
| Nov 2, 2024 | -11.57% |
| Aug 3, 2024 | 2.55% |
| May 4, 2024 | -15.63% |
| Feb 3, 2024 | -3.58% |
| Oct 28, 2023 | 5.90% |
| Jul 29, 2023 | 10.04% |
| Apr 29, 2023 | -6.77% |
| Jan 28, 2023 | -33.84% |
| Oct 29, 2022 | 4.80% |
| Jul 30, 2022 | -32.85% |
| Apr 30, 2022 | -8.36% |
| Jan 29, 2022 | 5.53% |
| Oct 30, 2021 | 5.90% |
Vera Bradley Operating 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=operating-margin&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();