Vera Bradley (VRA) Cash & Equivalents (2010 - 2026)
Vera Bradley (VRA) recorded Cash & Equivalents of $34.25 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 125.6% from $15.18 million a year earlier and up 173.9% from the prior quarter.
Vera Bradley (VRA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vera Bradley reported Cash & Equivalents of $18.51 million, down 35.3% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -22.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $28.63 million in FY2025 (-63.0%), $77.3 million in FY2024 (+65.9%), $46.6 million in FY2023 (-47.3%) and $88.44 million in FY2022 (+37.8%).
- The fiscal Q2 2027 figure is the highest quarterly Cash & Equivalents since fiscal Q2 2025.
- On a year-over-year basis, Cash & Equivalents rose in two of the last eight quarters, with an average decline of 25.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 125.6% in fiscal Q2 2027, against a decline of 79.6% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.51 million (Q1 2027), $18.51 million (Q4 2026) and $10.73 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Vera Bradley | 146.58 Mn | 70.58 Mn | 42.81 Mn | 34.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 34.25 Mn |
| May 2, 2026 | 12.51 Mn |
| Jan 31, 2026 | 18.51 Mn |
| Nov 1, 2025 | 10.73 Mn |
| Aug 2, 2025 | 15.18 Mn |
| May 3, 2025 | 11.28 Mn |
| Feb 1, 2025 | 28.63 Mn |
| Nov 2, 2024 | 13.71 Mn |
| Aug 3, 2024 | 44.15 Mn |
| May 4, 2024 | 55.20 Mn |
| Feb 3, 2024 | 77.30 Mn |
| Oct 28, 2023 | 52.27 Mn |
| Jul 29, 2023 | 48.52 Mn |
| Apr 29, 2023 | 25.34 Mn |
| Jan 28, 2023 | 46.60 Mn |
| Oct 29, 2022 | 25.24 Mn |
| Jul 30, 2022 | 38.32 Mn |
| Apr 30, 2022 | 63.99 Mn |
| Jan 29, 2022 | 88.44 Mn |
| Oct 30, 2021 | 74.78 Mn |
Vera Bradley Cash & Equivalents 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=cash-and-equivalents&ticker=VRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();