Willamette Valley Vineyards (WVVI) Treasury Stock (2012 - 2016)
Willamette Valley Vineyards' Treasury Stock was $1.02 million in Q2 2016, compared with -$425,102 a year earlier.
Analysis
Willamette Valley Vineyards (WVVI) Treasury Stock (2012 - 2016) Analysis & Trends
At the end of FY2015, Treasury Stock at Willamette Valley Vineyards came in at $675,602.
- Treasury Stock shows a three-year compound annual growth rate of 28.4% (FY2012 to FY2015).
- In earlier years, Treasury Stock was -$425,102 in FY2014 and $319,215 in FY2012.
- The Q2 2016 figure marks the highest quarterly Treasury Stock in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn | 57.09 Bn |
| 2 | Diageo | 247.11 Bn | 229.26 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 202.87 Bn | 202.87 Bn | 37.08 Bn | - |
| 4 | Pepsico | 198.20 Bn | 156.16 Bn | 13.75 Bn | 42.41 Bn |
| 5 | Anheuser-Busch InBev | 152.44 Bn | 152.44 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 90.94 Bn | 88.18 Bn | 1.40 Bn | 6.71 Bn |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - | - |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn | - |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn | - |
| 10 | Willamette Valley Vineyards | 8.61 Mn | 6.60 Mn | 5.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 1.02 Mn |
| Dec 31, 2015 | 675,602.00 |
| Jun 30, 2015 | -425,102.00 |
| Mar 31, 2015 | -425,102.00 |
| Dec 31, 2014 | -425,102.00 |
| Sep 30, 2014 | -425,102.00 |
| Jun 30, 2014 | -425,102.00 |
| Mar 31, 2014 | -425,102.00 |
| Mar 31, 2013 | 329,915.00 |
| Dec 31, 2012 | 319,215.00 |
| Sep 30, 2012 | 259,755.00 |
| Jun 30, 2012 | 248,965.00 |
| Mar 31, 2012 | -28,946.00 |
API Access
Willamette Valley Vineyards Treasury Stock 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=treasury-shares&ticker=WVVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=WVVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();