Trakcja S.A (TRK) Fair Value & Analysis
Industrials · PL · Market cap 1.5B PLN
Fair value as of: Jun 24, 2026
Analysis
Trakcja S.A (TRK) currently trades at 3.55 PLN, while our model-based Fair Value estimate is 1.33 PLN — implying the stock looks roughly 62.5% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Trakcja S.A. operates in the infrastructure and energy construction sector in Poland and internationally. The company designs road and railway infrastructure elements and building structures; and constructs drainage, traction networks and power supply systems, cable and overhead power lines, engineering facilities, roads and highways, and utility infrastructure. It is also involved in design, assembly, and delivery of equipment; supplies specialized software; provision of assembly, commissioning, warranty, and post-warranty service for remote control of all electric traction power supply devices and auxiliary systems, such as platform lighting and electric turnout heating; and production of equipment, accessories, and construction materials. In addition, the company engages in the construction of tracks and overhead lines, bridges, viaducts, tunnels, urban infrastructure, and public utility buildings and buildings related to rail vehicle operation; provision of electric power and en…
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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.