Willamette Valley Vineyards (WVVI) Gains from Sales and Divestitures (2011 - 2021)
Willamette Valley Vineyards' Gains from Sales and Divestitures was -$21,212 in FY2025.
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Analysis
Willamette Valley Vineyards (WVVI) Gains from Sales and Divestitures (2011 - 2021) Analysis & Trends
From FY2011 onward, Willamette Valley Vineyards has reported Gains from Sales and Divestitures for 11 years.
- The FY2025 figure marks the highest annual Gains from Sales and Divestitures since FY2020.
- Per Business Quant data, Gains from Sales and Divestitures in earlier years was -$35,510 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | Willamette Valley Vineyards | 9.86 Mn | 9.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -41,414.00 |
| Sep 30, 2021 | -4,096.00 |
| Mar 31, 2021 | 10,000.00 |
| Dec 31, 2020 | -8,000.00 |
| Mar 31, 2019 | -487.00 |
| Sep 30, 2018 | -733.00 |
| Mar 31, 2018 | -72.00 |
| Dec 31, 2017 | -4,512.00 |
| Mar 31, 2017 | 1,243.00 |
| Dec 31, 2016 | -2,500.00 |
| Dec 31, 2015 | -1,900.00 |
| Dec 31, 2013 | -1,350.00 |
| Jun 30, 2013 | 5,525.00 |
| Mar 31, 2013 | -4,850.00 |
| Dec 31, 2012 | -4.00 |
| Sep 30, 2012 | 20,514.00 |
| Jun 30, 2012 | 1,733.00 |
| Dec 31, 2011 | 6,293.00 |
API Access
Willamette Valley Vineyards Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=WVVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "WVVI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=WVVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();