Polimex-Mostostal S.A (PXM) Fair Value & Analysis
Industrials · PL · Market cap 2.0B PLN
Analysis
Polimex-Mostostal S.A (PXM) currently trades at 7.81 PLN, while our model-based Fair Value estimate is 10.34 PLN — implying the stock looks roughly 32.4% undervalued today. We read business quality at 92/100 (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: medium) — always confirm before acting.
About the company
Polimex-Mostostal S.A. operates as an engineering and construction company in Poland and internationally. The company operates through Production; Industrial Construction; Power Engineering; Infrastructure Construction; and Oil, Gas and Chemicals segments. It designs and constructs roads, bridges, railway infrastructure, and hydrotechnical structures; supervises works; and provides contract management services. The company also produces steel structures, platform gratings, and various transport pallets, as well as offers services related to steel products, such as corrosion protection of steel structures using hot-dip galvanization. In addition, it constructs production plants, warehouse halls, environmental protection facilities, office and administrative buildings, shopping centers, multiplexes, halls, and sports stadiums. Further, the company constructs storage tanks, industrial installations, terminals, and transshipment ports or fuel pipelines; manufactures furnaces and process…
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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.