Evonik Industries AG (EVKIY) Fair Value & Analysis
Basic Materials · US · Market cap $7.9B
Fair value as of: Jun 24, 2026
Analysis
Evonik Industries AG (EVKIY) currently trades at $8.92, while our model-based Fair Value estimate is $6.53 — implying the stock looks roughly 26.8% overvalued today. We read business quality at 95/100 (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
Evonik Industries AG operates as a chemicals company in the Asia-Pacific, Europe, the Middle East, Africa, and the Americas. It operates through the Advanced Technologies, Custom Solutions, and Infrastructure segments. The Advanced Technologies segment provides polymers for medical applications; crosslinkers; hydrogen peroxide, a sterilizing agent for cleaning silicon wafers and a bleaching agent for the paper and textile industries; fumed and precipitated silicas and silanes for the automotive, tire, electronics, and cosmetics industries; and D-/L-methionine and lysine for animal nutrition. Its Custom Solutions segment provides additives for coatings, adhesives, sealants, polyurethane foams, and lubricants for the cosmetic, cleaning, and pharmaceutical industries. The Infrastructure segment engages in the infrastructure activities and offers butadiene, MTBE, butene-1, isononanol, and DINP for use in the plastic and packaging industries, production of rubber and fuels, and as plasti…
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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.