Boryszew S.A (BRS) Fair Value & Analysis
Industrials · PL · Market cap 1.0B PLN
Fair value as of: Jun 26, 2026
Analysis
Boryszew S.A (BRS) currently trades at 4.93 PLN, while our model-based Fair Value estimate is 9.30 PLN — implying the stock looks roughly 88.6% undervalued today. We read business quality at 90/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Boryszew S.A. engages in the automotive, metals and chemical industries in Poland and internationally. The company operates through four segments: Automotive, Metals, Chemical products, and Other non-allocated. The Automotive segment offers automotive fluid transport systems, including air-conditioning hoses and high-pressure rubber hoses, and external and internal plastic automotive parts, including galvanized, large-size, and moving parts. The Metals Segment offers aluminum conductors, aluminum wire rods and alloys, zinc alloys, and brass and lead products; and seamless tubes, ingots, forging, long products, rings, and rims. The Chemicals segment provides coolants for passenger vehicles, trucks, agricultural vehicles, as well as electric vehicles and AC systems, automotive cosmetics and plastic fibers, and plasticizers products for staples, continuous filaments, chemical, automotive, construction, and packaging industries. It also trades in natural gas; produces and trades in elec…
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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.