Molibdenos y Metales S.A (MOLYMET) Fair Value & Analysis
Basic Materials · CL · Market cap 1.4T CLP
Analysis
Molibdenos y Metales S.A (MOLYMET) currently trades at 10,300 CLP, while our model-based Fair Value estimate is 12,317 CLP — implying the stock looks roughly 19.6% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Molibdenos y Metales S.A. engages in the processing of molybdenum concentrate worldwide. It provides molybdenum metal briquettes, ferromolybdenum, technical molybdic oxide briquettes, and technical molybdic oxid powder for steel industry; high solubility technical molybdenum oxide, pure molybdic oxide, ammonium dimolybdate, and ammonium heptamolybdate for the chemical industry; and metallic products, such as molybdenum metal in form of powder and briquettes. The company also offers rhenium products, including rhenium spherical powder, perrhenic acid, ammonium perrhenate, molybdenum rhenium alloy in form of powder, and rhenium metal in form of powder and briquettes; and other by-products, including copper cathodes, copper cement, and sulfuric acid. In addition, it is involved in the provision of mining services; production, marketing and distribution of electrical energy; commercial exploitation and administration of real estate; and production and marketing of value-added nuts. Moli…
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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.