Fomento de Construcciones y Contratas, S.A (FMOCF) Fair Value & Analysis
Industrials · US · Market cap $6.4B
Analysis
Fomento de Construcciones y Contratas, S.A (FMOCF) currently trades at $13.50, while our model-based Fair Value estimate is $12.24 — implying the stock looks roughly 9.3% overvalued today. We read business quality at 83/100 (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: medium).
About the company
Fomento de Construcciones y Contratas, S.A., together with its subsidiaries, provides environmental services in Europe and internationally. It operates through Environmental Services; Integrated Water Management; Construction; Concessions; Cement; and Real Estate segments. The company offers municipal, waste treatment and resource recycling, and facility management services; and concessions and proprietary infrastructure for the entire cycle, BOT, operation and maintenance services, and irrigation, as well as technology and network activities, which include EPC contracts and industrial water treatment activities; design, planning, construction, and maintenance services. It also engages in developing, financing, managing, and operating social and transportation infrastructure concessions. The company was formerly known as Fomento de Obras y Construcciones S.A. and changed its name to Fomento de Construcciones y Contratas, S.A. in January 1992. Fomento de Construcciones y Contratas wa…
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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.