Fairvalue-Calculator Fairvalue-Calculator

Heidelberg Materials AG (HLBZF) Fair Value & Analysis

Basic Materials · US · Market cap $38.0B

Price$204.69
Fair Value$190.73
Upside-6.8%
Quality90/100
Evidence: High Range $115.86 – $265.51

Analysis

Heidelberg Materials AG (HLBZF) currently trades at $204.69, while our model-based Fair Value estimate is $190.73 — implying the stock looks roughly 6.8% overvalued today. We read business quality at 90/100 (high quality), in the Basic Materials 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: high).

About the company

Heidelberg Materials AG, together with its subsidiaries, produces and distributes cement, aggregates, ready-mixed concrete, and asphalt worldwide. The company provides cement products; natural stone aggregates, including sand and gravel; crushed aggregates comprising stone chippings and crushed stones; and ready-mixed concrete for use in the construction of tunnels or bridges, office buildings, or schools, as well as to produce precast concrete parts, such as stairs, ceiling elements, or structural components. It also offers asphalt; and trades in cement, clinker, secondary cementitious materials, solid, alternative fuels, other building materials, and additives. The company was formerly known as HeidelbergCement AG and changed its name to Heidelberg Materials AG in May 2023. Heidelberg Materials AG was founded in 1873 and is headquartered in Heidelberg, Germany.

Open the full interactive analysis →

Similar stocks

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.