Arkema S.A (AKE) Fair Value & Analysis
Basic Materials · FR · Market cap €4.6B
Analysis
Arkema S.A (AKE) currently trades at €57.20, while our model-based Fair Value estimate is €40.21 — implying the stock looks roughly 29.7% 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
Arkema S.A., together with its subsidiaries, manufactures and sells specialty materials in Europe, the United States, Canada, Mexico, China, Hong Kong, Taiwan, and internationally. It operates in three segments: Adhesive Solutions, Advanced Materials and Coating Solutions, and Intermediates. The company provides solutions for construction, renovation of buildings, and DIY; high performance adhesives for durable goods, and adhesive solutions for packaging and non-woven; and supplies technologies used in building activities for businesses and individuals, including sealants, tiles, flooring adhesives and waterproofing systems, and technologies used in automotive, textiles, glazing, flexible and rigid packaging, and hygiene markets. It also offers high performance polymers, such as specialty polyamides, PVDF, polyimides, fluorospecialties, and PEKK; and performance additives comprising interface agents combining specialty surfactants, molecular sieves, organic peroxides, thiochemicals,…
Open the full interactive analysis →
Similar stocks
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.