Grupo Ezentis, S.A (EZE) Fair Value & Analysis
Industrials · ES · Market cap €53.9M
Fair value as of: Jun 26, 2026
Analysis
Grupo Ezentis, S.A (EZE) currently trades at €0.0692, while our model-based Fair Value estimate is €0.0282 — implying the stock looks roughly 59.2% overvalued today. We read business quality at 88/100 (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: low).
About the company
Grupo Ezentis, S.A. operates telecommunications and energy infrastructures. The company provides fixed and radio communications services, including consulting, design, planning, installation, commissioning, and maintenance of communications systems; undertakes outdoor and indoor projects, such as football fields, airports, tunnels, subways, bus stations, and shopping centers; industrial installation services in logistics and production centers; and new construction, renovations, and expansions. It also undertakes construction, rehabilitation, and expansion projects for centers and buildings; comprehensive maintenance services for buildings, production centers, logistics platforms, commercial premises, and hotels; and services for improving the energy efficiency of facilities. In addition, it engages in development, installation, and integration of interactive audiovisual communication projects and devices. Ezentis, S.A. was incorporated in 1959 and is based in Madrid, Spain.
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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.