Obrascón Huarte Lain, S.A (OBSJF) Fair Value & Analysis
Industrials · US · Market cap $797M
Analysis
Obrascón Huarte Lain, S.A (OBSJF) currently trades at $0.5763, while our model-based Fair Value estimate is $0.7500 — implying the stock looks roughly 30.1% undervalued today. We read business quality at 95/100 (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
Obrascón Huarte Lain, S.A. engages in the construction and concession businesses in the United States, Canada, Mexico, Chile, Peru, Colombia, Spain, Central and Eastern Europe, Northern Europe, and internationally. It operates through Construction, Industrial, and Other segments. The company provides civil engineering and building construction services for public and private-sector customers; and designs, engineers, constructs, maintains, and operates industrial plants and systems, including oil and gas, renewable energy, mining and cement, solids engineering, and fire-fighting systems. In addition, it offers building renovation and consulting; technical advisory; IT; and management consultancy services. Further, the company engages in the installation and maintenance of security and fire protection systems; water treatment and distribution; development of a fossil fuel power plants; industrial engineering for a refinery; development and operation of hotels and leisure centres; fina…
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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.