Norconsult ASA (NORCO) Fair Value & Analysis
Industrials · NO · Market cap 11.1B NOK
Analysis
Norconsult ASA (NORCO) currently trades at kr 34.90, while our model-based Fair Value estimate is kr 44.12 — implying the stock looks roughly 26.4% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Norconsult ASA provides consultancy services with focus on community planning, engineering design, and architecture in Nordics, Sweden, Denmark, Europe, and internationally. It offers consultancy services for the planning and engineering design of construction and real estate projects, such as residential, office, and industrial buildings; hospitals, healthcare buildings, and care homes; schools and educational buildings; sports facilities; cultural buildings; laboratory buildings, terminal buildings for airports and railway stations; and fire and police stations. The company also provides infrastructure services for water, geoscience and environment, and transport industries. In addition, it offers construction engineering, execution, and land acquisition services for renewable energy industry; and consultancy, project development, engineering design, and execution of various construction, renovation and modification projects with industrial installations. Further, the company prov…
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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.