Vera Bradley (VRA) Retained Earnings (2011 - 2026)
Vera Bradley's Retained Earnings was $172.11 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.5% from $182.15 million a year earlier but up 2.7% from the prior quarter.
Vera Bradley (VRA) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Retained Earnings at Vera Bradley came in at $172.44 million, down 21.7% from FY2025.
- Retained Earnings shows a five-year compound annual growth rate of -11.4% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $220.28 million in FY2025 (-22.0%), $282.47 million in FY2024 (+2.9%), $274.63 million in FY2023 (-17.9%) and $334.36 million in FY2022 (+5.6%).
- Quarterly Retained Earnings has moved between $167.61 million (fiscal Q1 2027) and $334.36 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Retained Earnings has declined for eight straight quarters, with an average decline of 21.1% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q3 2022 (growth of 6.7%); the worst was fiscal Q3 2026 (a decline of 36.5%).
- Per Business Quant data, VRA's Retained Earnings in the three fiscal quarters before Q2 2027 was $167.61 million (Q1 2027), $172.44 million (Q4 2026) and $169.78 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 3.82 Bn |
| 10 | Vera Bradley | 122.48 Mn | 46.48 Mn | 42.81 Mn | 172.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 172.11 Mn |
| May 2, 2026 | 167.61 Mn |
| Jan 31, 2026 | 172.44 Mn |
| Nov 1, 2025 | 169.78 Mn |
| Aug 2, 2025 | 182.15 Mn |
| May 3, 2025 | 186.82 Mn |
| Feb 1, 2025 | 220.28 Mn |
| Nov 2, 2024 | 267.25 Mn |
| Aug 3, 2024 | 280.05 Mn |
| May 4, 2024 | 274.35 Mn |
| Feb 3, 2024 | 282.47 Mn |
| Oct 28, 2023 | 284.32 Mn |
| Jul 29, 2023 | 279.20 Mn |
| Apr 29, 2023 | 269.95 Mn |
| Jan 28, 2023 | 274.63 Mn |
| Oct 29, 2022 | 302.79 Mn |
| Jul 30, 2022 | 297.62 Mn |
| Apr 30, 2022 | 327.39 Mn |
| Jan 29, 2022 | 334.36 Mn |
| Oct 30, 2021 | 329.21 Mn |
Vera Bradley Retained Earnings 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=retained-earnings&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();