Vera Bradley (VRA) Change in Property, Plant and Equipment (2010 - 2026)
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Analysis
Vera Bradley (VRA) Change in Property, Plant and Equipment (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | -199.00 Mn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | -53.40 Mn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | -53.20 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | -149.68 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | -58.60 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 19.85 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -17.07 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | -30.39 Mn |
| 10 | Vera Bradley | 170.38 Mn | 94.39 Mn | 42.81 Mn | -705,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -705,000.00 |
| May 2, 2026 | -333,000.00 |
| Jan 31, 2026 | -225,000.00 |
| Nov 1, 2025 | -452,000.00 |
| Aug 2, 2025 | -742,000.00 |
| May 3, 2025 | -1.87 Mn |
| Feb 1, 2025 | -4.32 Mn |
| Nov 2, 2024 | -2.40 Mn |
| Aug 3, 2024 | -2.79 Mn |
| May 4, 2024 | -863,000.00 |
| Feb 3, 2024 | -1.22 Mn |
| Oct 28, 2023 | -819,000.00 |
| Jul 29, 2023 | -909,000.00 |
| Apr 29, 2023 | -818,000.00 |
| Jan 28, 2023 | -1.27 Mn |
| Oct 29, 2022 | -2.58 Mn |
| Jul 30, 2022 | -2.65 Mn |
| Apr 30, 2022 | -1.75 Mn |
| Jan 29, 2022 | -1.46 Mn |
| Oct 30, 2021 | -1.75 Mn |
API Access
Vera Bradley Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=VRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=VRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();