Lindab International AB (LIAB) Fair Value & Analysis
Industrials · SE · Market cap 10.8B SEK
Analysis
Lindab International AB (LIAB) currently trades at kr 131.30, while our model-based Fair Value estimate is kr 172.30 — implying the stock looks roughly 31.2% 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
Lindab International AB (publ) manufactures and sells products and solutions for ventilation systems. It operates through Ventilation Systems and Profile Systems segments. The Ventilation Systems segment offers air duct systems with accessories and indoor climate solutions for ventilation, as well as cooling and heating solutions for installers and other customers in the ventilation industry. The Profile Systems segment provides products and systems, such as sheet metal for rainwater systems; roof and wall products; and steel profiles for wall, roof, and beam structures for the construction industry. It also offers air distribution, air diffusion, fire and safety, and demand-controlled ventilation systems; and roof, wall and facade, and rainwater systems. It serves Sweden, Denmark, Germany, France, the United Kingdom, Norway, Ireland, the Netherlands, Poland, Finland, Italy, the United States, Switzerland, and internationally. The company was formerly known as Lindab Intressenter AB…
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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.