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Loma Negra Compañía Industrial Argentina Sociedad Anónima, (LOMA) Fair Value & Analysis

Basic Materials · US · Market cap $1.4B

Price$12.20
Fair Value$6.49
Upside-46.8%
Quality95/100
Evidence: High Range $4.39 – $8.72

Analysis

Loma Negra Compañía Industrial Argentina Sociedad Anónima, (LOMA) currently trades at $12.20, while our model-based Fair Value estimate is $6.49 — implying the stock looks roughly 46.8% overvalued today. We read business quality at 95/100 (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: high).

About the company

Loma Negra Compañía Industrial Argentina Sociedad Anónima, together with its subsidiaries, manufactures and sells cement and its derivatives in Argentina. It operates through Cement, Masonry Cement, and Lime; Concrete; Railroad; Aggregates; and Others segments. The company offers masonry cement, aggregates, ready-mix concrete, concrete, and lime to wholesale distributors, concrete producers, industrial customers, and others. It also provides rail transportation services; and treats and recycles industrial waste for use as fuel and raw material. It markets its products under the Loma Negra, Plasticor, Cacique Max, Loma Negra Plus, and Lomax brands. Loma Negra Compañía Industrial Argentina Sociedad Anónima was incorporated in 1926 and is based in Buenos Aires, Argentina. Loma Negra Compañía Industrial Argentina Sociedad Anónima operates as a subsidiary of Intercement Trading E Inversiones Argentina Sociedad Limitada.

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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.