Schloss Wachenheim AG (SWA) Fair Value & Analysis
Consumer Defensive · DE · Market cap €110M
Fair value as of: Jun 25, 2026
Analysis
Schloss Wachenheim AG (SWA) currently trades at €14.10, while our model-based Fair Value estimate is €21.23 — implying the stock looks roughly 50.6% undervalued today. We read business quality at 80/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Schloss Wachenheim AG produces and distributes sparkling and semi-sparkling wine products in Europe, France, Poland, Romania, the Czech Republic, Slovakia, and Great. The company offers dealcoholized still and sparkling wines, vermouth, cider, spirits, and other wine-based beverages. It also provides non-alcoholic wine-based products and children's party drinks. The company markets its products under the Light Live, Faber, Robby Bubble, Schloss Wachenheim, Nymphenburg Sekt, Schweriner Burggarten, Schwansee Sket, Bar Royal, Eisberg, Kleine Reblaus, Rebling, Schloss Bochingen, Feist, Azzurro, Blû Prosecco, Premiat, Mädchentraube, König Ludwig, Fruchtiger Engel, Vipa, and Hanse Wismar brand names in Germany; Charles Volner, Opera, Muscador, Veuve Amiot, Pol Cement, and Cavalier brands in France; CIN & CIN, Fresco, El Sol, Slantschew Brjag, Pliska, Cydr Lubelski, Piccolo, Milcov, Dorato, Zarea, and Winiarnia Zamojska brands in East Central Europe. The company was formerly known as Sektk…
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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.