Grupa Kapitalowa IMMOBILE S.A (GKI) Fair Value & Analysis
Financial Services · PL · Market cap 355M PLN
Fair value as of: Jun 26, 2026
Analysis
Grupa Kapitalowa IMMOBILE S.A (GKI) currently trades at 4.67 PLN, while our model-based Fair Value estimate is 3.28 PLN — implying the stock looks roughly 29.8% overvalued today. We read business quality at 90/100 (high quality), in the Financial Services 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
Grupa Kapitalowa IMMOBILE S.A. operates in industry, construction, automation and power engineering, hospitality, and development industries in Poland and internationally. The company manufactures and distributes handling systems; engages in the business of automatic car parks; offers crushing and grinding machines under the MAKRUM brand, as well as warehouse equipment, such as forklifts and warehouse racks; and sells aluminum facades, aluminum joinery, lift and slide doors, and fire protection products. It also constructs housing estates; operates hotels; is involved in the business of industrial construction, modern offices, commercial facilities, and development investment; carries out general investment implementation (GRI); and offers IT solutions, as well as equipment used in I and C, and related systems. In addition, the company provides professional advisory services; engineering services in the field of industrial automation, control and measurement equipment, computer scie…
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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.