Vera Bradley (VRA) EPS (Diluted) (2010 - 2026)
Vera Bradley's EPS (Diluted) came in at $0.15 for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$0.17 a year earlier.
Vera Bradley (VRA) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Vera Bradley reported EPS (Diluted) of -$0.33; for FY2026 (ended Jan 31, 2026), it was -$1.71.
- Going back by fiscal year, EPS (Diluted) was -$2.15 in FY2025, $0.25 in FY2024, -$1.90 in FY2023 and $0.52 in FY2022 (+102.4%).
- The fiscal Q2 2027 figure represents the highest quarterly EPS (Diluted) since fiscal Q2 2025.
- Business Quant data shows VRA's EPS (Diluted) at -$0.17 (Q1 2027), $0.10 (Q4 2026) and -$0.44 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 0.48 |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 1.65 |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 4.28 |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 0.43 |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -0.25 |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -0.31 |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 0.68 |
| 10 | Vera Bradley | 170.42 Mn | 94.42 Mn | 42.81 Mn | 0.15 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.15 |
| May 2, 2026 | -0.17 |
| Jan 31, 2026 | 0.10 |
| Nov 1, 2025 | -0.44 |
| Aug 2, 2025 | -0.17 |
| May 3, 2025 | -1.20 |
| Feb 1, 2025 | -1.62 |
| Nov 2, 2024 | -0.46 |
| Aug 3, 2024 | 0.19 |
| May 4, 2024 | -0.26 |
| Feb 3, 2024 | -0.06 |
| Oct 28, 2023 | 0.16 |
| Jul 29, 2023 | 0.30 |
| Apr 29, 2023 | -0.15 |
| Jan 28, 2023 | -0.89 |
| Oct 29, 2022 | 0.17 |
| Jul 30, 2022 | -0.95 |
| Apr 30, 2022 | -0.21 |
| Jan 29, 2022 | 0.15 |
| Oct 30, 2021 | 0.17 |
Vera Bradley EPS (Diluted) 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=eps-diluted&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();