Besalco S.A (BESALCO) Fair Value & Analysis
Industrials · CL · Market cap 730B CLP
Analysis
Besalco S.A (BESALCO) currently trades at 1,239 CLP, while our model-based Fair Value estimate is 2,227 CLP — implying the stock looks roughly 79.8% undervalued today. We read business quality at 93/100 (high quality), in the Industrials 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
Besalco S.A. operates as a construction company in Chile. It constructs reservoirs, tunnels, tailings dams, bridges, viaducts, gas pipelines, irrigation works, hydroelectric power plants, sanitation works, mining works, hospitals, stadiums, residential and commercial buildings, airports, and seaports, as well as works for the Santiago Metro and State Railways; assembles and develops projects for the expansion or modification of existing facilities; and engineers and constructs complex industrial plants, as well as designs and constructs electrical power transmission systems. It also designs, constructs, and sells, houses and apartments. In addition, the company provides mining and earthmoving; crushing, sorting, processing, loading and transport of materials; salt harvesting, tailings dam operations, spot equipment rental; mechanized forest harvesting, debarking, chipping and chip transport; and transports ready-mix concrete. Further, it engages in engineering development, construct…
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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.