Grenevia S.A (GEA) Fair Value & Analysis
Industrials · PL · Market cap 1.9B PLN
Fair value as of: Jun 24, 2026
Analysis
Grenevia S.A (GEA) currently trades at 3.27 PLN, while our model-based Fair Value estimate is 11.69 PLN — implying the stock looks roughly 257.5% undervalued today. We read business quality at 91/100 (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
Grenevia S.A. engages in the manufacturing and delivery of power equipment for mining facilities worldwide. It offers longwall systems, machinery and equipment for road header systems; a range of products for transport and handling systems for underground soft-rock mining to extract thermal coal, coking coal, and other minerals; and design and delivery services of IT systems for monitoring machinery operation. The company also provides wind power and industrial gearboxes, as well as overhaul, testing and technical consulting, and gearbox services; machinery and equipment for underground mining; and power solutions for the energy sector. In addition, it is involved in the leasing of land for photovoltaic farms and wind power plants; development and sale of RES projects; and sale of green energy in the form of cPPAs. The company was formerly known as Famur S.A. and changed its name to Grenevia S.A. in April 2023. The company was incorporated in 2001 and is based in Katowice, Poland. G…
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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.