BASF SE (BASF) Fair Value & Analysis
Basic Materials · HU · Market cap 15.2T HUF
Fair value as of: Jun 24, 2026
Analysis
BASF SE (BASF) currently trades at 17,146 HUF, while our model-based Fair Value estimate is 8,950 HUF — implying the stock looks roughly 47.8% overvalued today. We read business quality at 93/100 (high quality), in the Basic Materials 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
BASF SE operates as a chemical company worldwide. It operates through six segments: Chemicals, Materials, Industrial Solutions, Surface Technologies, Nutrition & Care, and Agricultural Solutions. The Chemicals segment provides petrochemicals and intermediates. The Materials segment offers advanced materials and their precursors for applications and systems comprising isocyanates, polyamides, and inorganic basic products, as well as specialties for the plastics and plastics processing industries. The Industrial Solutions segment develops and markets ingredients and additives for industrial applications, such as polymer dispersions, resins, additives, chemical and refining catalysts, electronic materials, and antioxidants for automotive, petrochemical and petroleum processing, plastics and electronics, construction, electronics, paper coatings, and energy and resources industries. The Surface Technologies segment provides catalysts, battery materials, automotive OEM and refinish coati…
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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.