Willamette Valley Vineyards (WVVI) EV to CFO (2011 - 2026)
Willamette Valley Vineyards' (WVVI) EV to CFO was 36.24 for Q1 2026.
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Analysis
Willamette Valley Vineyards (WVVI) EV to CFO (2011 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Willamette Valley Vineyards' EV to CFO came in at 32.92; for FY2021, it was 11.37, up 214.3% from FY2020.
- By year, EV to CFO came in at 3.62 in FY2020 (-43.3%), 6.37 in FY2019 (-40.0%), 10.63 in FY2018 (-1.4%) and 10.78 in FY2017 (-3.4%).
- The Q1 2026 figure ranks as the highest quarterly EV to CFO in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn |
| 10 | Willamette Valley Vineyards | 8.71 Mn | 8.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 36.24 |
| Mar 31, 2022 | 15.80 |
| Dec 31, 2021 | 11.37 |
| Sep 30, 2021 | 8.58 |
| Jun 30, 2021 | 10.36 |
| Mar 31, 2021 | 7.57 |
| Dec 31, 2020 | 3.62 |
| Sep 30, 2020 | 3.89 |
| Jun 30, 2020 | 4.34 |
| Mar 31, 2020 | 3.51 |
| Dec 31, 2019 | 6.37 |
| Sep 30, 2019 | 9.40 |
| Jun 30, 2019 | 9.43 |
| Mar 31, 2019 | 9.26 |
| Dec 31, 2018 | 10.63 |
| Sep 30, 2018 | 17.46 |
| Jun 30, 2018 | 30.25 |
| Mar 31, 2018 | 34.02 |
| Dec 31, 2017 | 10.78 |
| Sep 30, 2017 | 8.53 |
API Access
Willamette Valley Vineyards EV to CFO 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=ev-to-cfo&ticker=WVVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=WVVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();