Vera Bradley (VRA) Inventory (2011 - 2026)
Vera Bradley (VRA) posted Inventory of $69.25 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 28.4% from $96.69 million a year earlier and down 5.2% from the prior quarter.
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Analysis
Vera Bradley (VRA) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vera Bradley's Inventory came in at $75.95 million, down 16.9% from FY2025.
- Annual Inventory has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -11.7% (FY2021 to FY2026).
- In prior fiscal years, Vera Bradley's Inventory was $91.43 million in FY2025 (-22.7%), $118.28 million in FY2024 (-16.9%), $142.28 million in FY2023 (-1.8%) and $144.88 million in FY2022 (+2.5%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Inventory in data going back to fiscal Q4 2011.
- On a year-over-year basis, Inventory has declined in each of the last seven quarters, with an average decline of 22.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2023, with growth of 21.3%; the weakest was fiscal Q3 2026, with a decline of 36.8%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $73.02 million (Q1 2027), $75.95 million (Q4 2026) and $82.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Vera Bradley | 119.04 Mn | 43.04 Mn | 42.81 Mn | 69.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 69.25 Mn |
| May 2, 2026 | 73.02 Mn |
| Jan 31, 2026 | 75.95 Mn |
| Nov 1, 2025 | 82.94 Mn |
| Aug 2, 2025 | 96.69 Mn |
| May 3, 2025 | 99.15 Mn |
| Feb 1, 2025 | 91.43 Mn |
| Nov 2, 2024 | 131.31 Mn |
| Aug 3, 2024 | 133.05 Mn |
| May 4, 2024 | 125.18 Mn |
| Feb 3, 2024 | 118.28 Mn |
| Oct 28, 2023 | 129.14 Mn |
| Jul 29, 2023 | 139.30 Mn |
| Apr 29, 2023 | 142.74 Mn |
| Jan 28, 2023 | 142.28 Mn |
| Oct 29, 2022 | 178.33 Mn |
| Jul 30, 2022 | 179.56 Mn |
| Apr 30, 2022 | 161.79 Mn |
| Jan 29, 2022 | 144.88 Mn |
| Oct 30, 2021 | 148.27 Mn |
API Access
Vera Bradley Inventory 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=inventory&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();