Stalprofil S.A (STF) Fair Value & Analysis
Industrials · PL · Market cap 162M PLN
Fair value as of: Jun 25, 2026
Analysis
Stalprofil S.A (STF) currently trades at 8.86 PLN, while our model-based Fair Value estimate is 15.53 PLN — implying the stock looks roughly 75.3% undervalued today. We read business quality at 80/100 (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
Stalprofil S.A. engages in the distribution of steel products in Poland and internationally. It provides hot rolled profiles, channels, equal-leg angles, unequal angles, and T-bars; cold formed profiles, such as square and rectangular profiles, and channels; flat, round, square, drawn, and ribbed bars, as well as wire rods; and hot and cold rolled plates, and patterned sheets. The company offers normal, economical parallel, and wide flange I-beams, as well as W-shape flanges and special economical I-beams; ordinary, economical, and UPE channels; flat, hot rolled roundsteel, and squared bars; and isosceles T-Bars. In addition, the company produces and sells outer anti-corrosive insulation for steel pipes and tubes that are primarily used for the construction of transmission pipelines; and supplies pipes and tubes for gas engineering sector, as well as for fuel industry, heat engineering, water pipelines, sewage systems, and various other areas. Further, it provides steel structures a…
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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.