Koninklijke Heijmans N.V (HEIJM) Fair Value & Analysis
Industrials · NL · Market cap €2.9B
Analysis
Koninklijke Heijmans N.V (HEIJM) currently trades at €114.40, while our model-based Fair Value estimate is €99.35 — implying the stock looks roughly 13.2% overvalued today. We read business quality at 95/100 (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: high).
About the company
Koninklijke Heijmans N.V. engages in the real estate, construction, and infrastructure businesses in the Netherlands and internationally. It focuses on the development of large and smaller-scale projects in urban and out-of-town areas, as well as acts as an initiator, developer, and seller of residential properties. The company is also involved in building homes; and the restoration, redevelopment, renovation, maintenance, and service of existing housing stock. In addition, it designs, realizes, and maintains electro-technical and mechanical installations; and realizes large-scale and complex construction contracts in the customer and market segments of health care, government and semi-government organizations, commercial property, datacentres, and the high-tech clean industry such as, laboratories. Further, the company focuses on the construction, improvement and maintenance of road infrastructure, and public spaces, including related installations and on-site objects. The company …
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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.