ENCE Energía y Celulosa, S.A (ENC) Fair Value & Analysis
Basic Materials · ES · Market cap €589M
Analysis
ENCE Energía y Celulosa, S.A (ENC) currently trades at €2.28, while our model-based Fair Value estimate is €1.23 — implying the stock looks roughly 46.1% overvalued today. We read business quality at 87/100 (high quality), in the Basic Materials 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
ENCE Energía y Celulosa, S.A., together with its subsidiaries, produces and sells hardwood pulp and renewable energy in Spain, Germany, Poland, Italy, the Netherlands, the United Kingdom, Greece, France, Turkey, and internationally. It operates through Cellulose, Forest Heritage and others segments. The company offers bleached eucalyptus kraft pulp; and forest land management and forestry services, as well as producing renewable energy using agricultural and forestry biomass sources; and producing timber for pulp. In addition, it is involved in generating, selling electric energy and carbon credits; developing biogas plants; selling of biomass; clean energy management; gas trading; research and development; purchase and sale of timber; waste management; electricity management; biogas, biomethane, and fertilizer management; and management of forest waste. The company was formerly known as Grupo Empresarial ENCE, S.A. and changed its name to ENCE Energía y Celulosa, S.A. in April 2012…
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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.