Willamette Valley Vineyards, Inc (WVVI) Fair Value & Analysis
Consumer Defensive · US · Market cap $12.5M
Fair value as of: Jun 25, 2026
Analysis
Willamette Valley Vineyards, Inc (WVVI) currently trades at $2.51, while our model-based Fair Value estimate is $2.50 — implying the stock looks roughly 0.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Willamette Valley Vineyards, Inc. produces and sells wine in the United States and internationally. It operates through two segments, Direct Sales and Distributor Sales. The company offers Pinot Noir, Chardonnay, Pinot Gris, Pinot Blanc, Sauvignon Blanc, Gruner Veltliner, Rose, Brut, Brut Rose, and Riesling branded wines under the Willamette Valley Vineyards label; Brut, Brut Rose, and Blanc de Blancs under the Domaine Willamette label; Semi-Sparkling Muscat branded wine under the Tualatin Estate Vineyards label; and Syrah, Merlot, Cabernet Sauvignon, Grenache, Cabernet Franc, Tempranillo, Malbec, The Griffin, and Viognier branded wines under the Griffin Creek label. It also provides Pinot Noir and Chardonnay branded wine under the Elton label; Chrysologue, Merlot, Cabernet Sauvignon, and Malbec branded wine under the Pambrun label; Frontiere Syrah, Graviére Syrah, Voyageur Syrah, Bourgeois Grenache, Voltigeur Viognier, and Lisette Rose branded wine under the Maison Bleue label; and…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.