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Brenntag SE (BNTGF) Fair Value & Analysis

Basic Materials · US · Market cap $9.5B

Price$65.68
Fair Value$57.91
Upside-11.8%
Quality95/100
Evidence: High Range $35.42 – $80.39

Analysis

Brenntag SE (BNTGF) currently trades at $65.68, while our model-based Fair Value estimate is $57.91 — implying the stock looks roughly 11.8% 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

Brenntag SE distributes chemicals and ingredients in Germany, the United States, the United Kingdom, China, Canada, Italy, Poland, France, and internationally. The company operates in two segments, Brenntag Essentials and Brenntag Specialties. It provides just-in-time delivery, product mixing, blending, repackaging, inventory management, and drum return handling, as well as application, marketing and supply chain solutions, technical and formulation support, comprehensive regulatory know-how, and digital solutions, such as digital sales channels and product platforms. The company serves customers in various industries, including nutrition, pharma, beauty and care, and water treatment; and industrial markets, as well as coatings, adhesives, sealants and elastomers, and constructions, polymers, and rubber industries. The company was founded in 1874 and is headquartered in Essen, Germany.

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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.