Vera Bradley (VRA) Operating Leases (2019 - 2026)
Vera Bradley's Operating Leases was $55.4 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.4% from $57.92 million a year earlier but up 17.4% from the prior quarter.
Vera Bradley (VRA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Operating Leases at Vera Bradley came in at $51.91 million, down 21.7% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of -10.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $66.31 million in FY2025 (+6.0%), $62.55 million in FY2024 (-16.2%), $74.66 million in FY2023 (-7.7%) and $80.86 million in FY2022 (-11.7%).
- Quarterly Operating Leases has moved between $47.2 million (fiscal Q1 2027) and $84.02 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Operating Leases has declined for five straight quarters, with an average decline of 6.0% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q3 2025 (growth of 15.7%); the worst was fiscal Q1 2027 (a decline of 24.3%).
- Per Business Quant data, VRA's Operating Leases in the three fiscal quarters before Q2 2027 was $47.2 million (Q1 2027), $51.91 million (Q4 2026) and $56.96 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 55.40 Mn |
| May 2, 2026 | 47.20 Mn |
| Jan 31, 2026 | 51.91 Mn |
| Nov 1, 2025 | 56.96 Mn |
| Aug 2, 2025 | 57.92 Mn |
| May 3, 2025 | 62.36 Mn |
| Feb 1, 2025 | 66.31 Mn |
| Nov 2, 2024 | 73.97 Mn |
| Aug 3, 2024 | 58.31 Mn |
| May 4, 2024 | 59.73 Mn |
| Feb 3, 2024 | 62.55 Mn |
| Oct 28, 2023 | 63.92 Mn |
| Jul 29, 2023 | 66.72 Mn |
| Apr 29, 2023 | 71.87 Mn |
| Jan 28, 2023 | 74.66 Mn |
| Oct 29, 2022 | 80.11 Mn |
| Jul 30, 2022 | 84.02 Mn |
| Apr 30, 2022 | 81.51 Mn |
| Jan 29, 2022 | 80.86 Mn |
| Oct 30, 2021 | 83.92 Mn |
Vera Bradley Operating Leases 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-leases&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();