Cementir Holding (CEM) Fair Value & Analysis
Basic Materials · IT · Market cap €2.5B
Analysis
Cementir Holding (CEM) currently trades at €14.90, while our model-based Fair Value estimate is €22.56 — implying the stock looks roughly 51.4% undervalued today. We read business quality at 89/100 (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
Cementir Holding N.V., together with its subsidiaries, operates in the building materials sector in Italy, Nordic and Baltic, Belgium, North America, Turkiye, Egypt, and the Asia Pacific. It operates through Cement, Ready-Mixed Concrete, Aggregates, Waste, and Other segments. The company offers white cement under the Aalborg White brand for architectural, aesthetic, and structural applications; grey cement under the FUTURECEM brand; ready-mixed concrete for use in infrastructure, landscaping, industry and agriculture, energy and environment, buildings, and pre-stressed and prefabricated concrete products; and aggregates, such as natural sand, gravel, and crushed stones used in concrete and prefabricated products, asphalt, road foundations and engineering works, draining materials, and agricultural land applications. It also provides Aalborg Extreme self-compacting concrete for thin concrete products production, Aalborg Excel ready-to-use mortar for glass giber concrete, and Aalborg …
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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.