Willamette Valley Vineyards (WVVI) Operating Expenses (2010 - 2026)
Willamette Valley Vineyards' Operating Expenses came in at $5.71 million for Q1 2026, up 1.4% from $5.63 million a year earlier but down 8.9% from the prior quarter.
Willamette Valley Vineyards (WVVI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Willamette Valley Vineyards reported Operating Expenses of $24.01 million, up 2.7% year-over-year; for FY2025, it was $23.93 million, up 1.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $23.62 million in FY2024 (-0.6%), $23.76 million in FY2023 (+22.7%), $19.36 million in FY2022 (+29.3%) and $14.98 million in FY2021 (+27.7%).
- The five-year range for quarterly Operating Expenses is $3.6 million (Q2 2021) to $6.4 million (Q4 2023).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 41.4%), and the weakest in Q4 2024 (a decline of 8.3%).
- Business Quant data shows WVVI's Operating Expenses at $6.26 million (Q4 2025), $6.22 million (Q3 2025) and $5.82 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | 3.72 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 | 1.49 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Willamette Valley Vineyards | 8.71 Mn | 8.71 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.71 Mn |
| Dec 31, 2025 | 6.26 Mn |
| Sep 30, 2025 | 6.22 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 5.63 Mn |
| Dec 31, 2024 | 5.87 Mn |
| Sep 30, 2024 | 5.94 Mn |
| Jun 30, 2024 | 5.93 Mn |
| Mar 31, 2024 | 5.88 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 5.97 Mn |
| Jun 30, 2023 | 5.94 Mn |
| Mar 31, 2023 | 5.45 Mn |
| Dec 31, 2022 | 6.00 Mn |
| Sep 30, 2022 | 5.12 Mn |
| Jun 30, 2022 | 4.38 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 4.29 Mn |
| Sep 30, 2021 | 3.77 Mn |
| Jun 30, 2021 | 3.60 Mn |
Willamette Valley Vineyards Operating Expenses 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=operating-expenses&ticker=WVVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WVVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();