Vicat S.A (VCT) Fair Value & Analysis
Basic Materials · FR · Market cap €2.8B
Analysis
Vicat S.A (VCT) currently trades at €66.30, while our model-based Fair Value estimate is €100.39 — implying the stock looks roughly 51.4% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
Vicat S.A., together with its subsidiaries, engages in the production and sale of cement, ready-mixed concrete, and aggregates for construction industry. The company offers artificial cements, natural cements, and hydraulic road binders for use in housing, bridges, tunnels, and situations where the concrete is subject to aggressive environments. It also provides a range of aggregates, including alluvium or rock, and river or crusher gravel and sand; ready-mixed concretes comprising decorative, self-leveling, self-consolidating, road, architectural, and civil-engineering concretes; and premixed mortars and finishing products, such as adhesives, surfacing compounds, and premixed mortars for floors and tiling, walls, thermal insulation, and masonry and building structures. In addition, the company is involved in high-speed rail lines, motorway bridges, nuclear power plants, and airports construction works; and manufacture of large and medium-sized kraft bags and paper products. It oper…
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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.