Grupo Empresarial San José, S.A (GSJ) Fair Value & Analysis
Industrials · ES · Market cap €515M
Analysis
Grupo Empresarial San José, S.A (GSJ) currently trades at €9.10, while our model-based Fair Value estimate is €17.16 — implying the stock looks roughly 88.6% 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
Grupo Empresarial San José, S.A., together with its subsidiaries, engages in construction business in Spain and internationally. It provides building, civil works, engineering and industrial construction services; development and maintenance of hospitals, buildings and facilities, energy power plants, conservation of parks and gardens, and infrastructures; consultancy and project management services for architecture, civil engineering, infrastructure, real estate management, technology, and sustainable development; interior finishes, furniture, sanitary ware, and accessories, as well as pre-installations for plumbing, electricity, and HVAC, etc.; distribution of sport and fashion clothes under the Arena, Teva, Hoka, Diadora, Hunter, and Fred Perry clothing brands. The company is also involved in energy efficiency and renewable energy business; agricultural and stock breeding developments; food supply; influence distribution; provisions of health care and social services; designs and…
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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.