NIBE Industrier AB (NIBEB) Fair Value & Analysis
Industrials · CH · Market cap CHF 6.1B
Fair value as of: Jun 24, 2026
Analysis
NIBE Industrier AB (NIBEB) currently trades at CHF 2.94, while our model-based Fair Value estimate is CHF 26.82 — implying the stock looks roughly 811.6% 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: low) — always confirm before acting.
About the company
NIBE Industrier AB (publ), together with its subsidiaries, develops, manufactures, markets, and sells various energy efficient solutions for indoor climate comfort, and components and solutions for intelligent heating and control in Nordic countries, rest of Europe, North America, Australia, Asia, and internationally. The company operates through three business areas: NIBE Climate Solutions, NIBE Element, and NIBE Stoves. The NIBE Climate Solutions business area offers indoor climate comfort products, such as heat pumps, ventilation products and air conditioning, climate control systems, water heaters and accumulator tanks, district heating products, solar panels, domestic boilers, commercial washing machines, and tumble dryers for homes, apartment blocks, and commercial properties. The NIBE Element business area provides various components and solutions for heating and control, which include tubular, aluminum, foil, thick film, PTC, high-power, and ceramic elements, as well as open…
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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.