Elvalhalcor Hellenic Copper and Aluminium Industry S.A (ELHA) Fair Value & Analysis
Industrials · GR · Market cap €1.8B
Analysis
Elvalhalcor Hellenic Copper and Aluminium Industry S.A (ELHA) currently trades at €5.60, while our model-based Fair Value estimate is €4.60 — implying the stock looks roughly 17.9% 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: high).
About the company
Elvalhalcor Hellenic Copper and Aluminium Industry S.A. provides aluminum and copper processing industrial products and solutions. The company offers flat rolled aluminum products and solutions for sea, road, and rail transport; packaging; heating, ventilation, air conditioning, and refrigeration; building and construction; energy; and cookware industries. It also provides aluminum foil and aluminum-based packaging materials for semi-rigid food containers, cable wraps, tea lights, heat exchange equipment, technical applications, household use, hair care, and li-ion batteries, as well as flexible packaging for food, pharma, and tobacco applications; and aluminum composite panels, corrugated sheets, false ceiling systems, pre-painted aluminum for rain gutters, pre-painted aluminum coils and sheets for roofing applications, functional coating systems, and coated aluminum strips for flashings and rolling shutters. In addition, the company offers aluminum rolling shutters and boxes; alum…
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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.