Aktieselskabet Schouw & Co (SCHO) Fair Value & Analysis
Industrials · DK · Market cap 15.0B DKK
Analysis
Aktieselskabet Schouw & Co (SCHO) currently trades at kr 606.00, while our model-based Fair Value estimate is kr 488.38 — implying the stock looks roughly 19.4% overvalued today. We read business quality at 92/100 (high quality), in the Industrials 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: high).
About the company
Aktieselskabet Schouw & Co., an industrial conglomerate, manufactures feed for the fish and shrimp farming industries in Norway, Denmark, the United Kingdom, the rest of Europe, Chile, the United States, the rest of Americas, Asia, Oceania, and Africa. It operates in six segments: BioMar, GPV, HydraSpecma, Borg Automotive, Fibertex Personal Care, and Fibertex Nonwovens. The BioMar segment offers feed products for salmon, trout, shrimp, sea bass, and sea bream in the fish and shrimp farming industries. The GPV segment manufactures electronics, mechanics, cable harnessing, and mechatronics for industrials, building tech, transportation, measurement and control, cleantech, medtech and hightech consumers. The HydraSpecma segment supplies hydraulic and electric solutions and products to the aftermarket and original equipment manufacturers. The Borg Automotive segment remanufactures defective parts, such as brake callipers, turbochargers, starters, and alternators for the B2B market. The…
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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.