GEK TERNA Holdings (GEKTERNA) Fair Value & Analysis
Industrials · GR · Market cap €4.7B
Analysis
GEK TERNA Holdings (GEKTERNA) currently trades at €46.00, while our model-based Fair Value estimate is €27.22 — implying the stock looks roughly 40.8% overvalued today. We read business quality at 94/100 (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: medium).
About the company
GEK TERNA Holdings, Real Estate, Construction S.A., together with its subsidiaries, engages in the construction, real estate, mining, electricity, and concession businesses in Greece, the Balkans, the Middle East, Eastern Europe, the United States, and internationally. The company is involved in the construction of motorways, rail networks, buildings, hospitals, museums, industrial facilities, hydroelectric projects, dams, power plants, etc. for public and private sectors; and the financing, management, and commercial operation of concession projects, such as motorways and parking stations. It also develops and operates wind farms, hydroelectric projects, waste treatment and biogas production plants, and photovoltaic parks, as well as develops pumped storage and infrastructure projects. In addition, the company produces 905.3 MW of electric energy and trades in natural gas. Further, it engages in the acquisition, development, and exploitation of real estate properties, including bus…
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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.