Pkp Cargo S.A (PKP) Fair Value & Analysis
Industrials · PL · Market cap 589M PLN
Fair value as of: Jun 24, 2026
Analysis
Pkp Cargo S.A (PKP) currently trades at 11.01 PLN, while our model-based Fair Value estimate is 18.47 PLN — implying the stock looks roughly 67.8% undervalued today. We read business quality at 95/100 (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
Pkp Cargo S.A. engages in the provision of logistics services in the field of rail freight in Poland and internationally. The company offers rail freight transport services for coal, coke, aggregates, building materials, liquid fuels and chemicals, metals and ores, timber and agricultural crops, emergency and military, and automotive products. It also provides intermodal transportation services, such as transport of goods through various means of transport, including train, ship, and car; and railway, road, sea, and air forwarding services, as well as operates transhipment terminals and logistics centers. In addition, it offers railway siding operation services, such as railway traction vehicles for wagon switching, shunting and operation of wagon handling equipment, train clearance from sidings, forwarding and commercial documentation, and diagnostics and maintenance of railway siding infrastructure; and diagnostics and maintenance of railway siding infrastructure; and maintains an…
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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.