BEWI ASA (BEWI) Fair Value & Analysis
Consumer Cyclical · NO · Market cap 4.6B NOK
Fair value as of: Jun 24, 2026
Analysis
BEWI ASA (BEWI) currently trades at kr 18.82, while our model-based Fair Value estimate is kr 11.04 — implying the stock looks roughly 41.3% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
BEWI ASA, together with its subsidiaries, produces, markets, and sells packaging, components, and insulation solutions in Norway and internationally. The company operates through Insulation & Construction, Packaging & Components, and Circular segments. The Insulation & Construction segment develops and manufactures insulation solutions for the building and construction industry, including foundations, walls, roofs, and ceilings for domestic housing and industrial buildings, as well as infrastructure projects; and offers insulation boards from polyisocyanurate and mineral wool sandwich panels. The Packaging & Components segment develops and manufactures standard and customized packaging solutions, including boxes for transportation of fresh fish, and protective packaging for pharmaceuticals and electronics; and delivers technical components to various industries, such as automotive components and components to heating, ventilation, and air condition systems. The Circular segment prod…
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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.