Teqnion AB (TEQ) Fair Value & Analysis
Industrials · SE · Market cap 2.7B SEK
Fair value as of: Jun 26, 2026
Analysis
Teqnion AB (TEQ) currently trades at kr 156.00, while our model-based Fair Value estimate is kr 97.55 — implying the stock looks roughly 37.5% 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
Teqnion AB (publ), a diversified industrial company, provides a range of products in selected niche markets in Sweden, United Kingdom, European Union, Norway, United States, and internationally. It markets and sells instruments and consumables for clinical and research laboratories. It also offers foldable electric wheelchairs for county councils and end users; surge protection/lightning protection, uninterruptible power supply, and equalization material products; fasteners, hydraulic components, pipe parts, gaskets, seals, ball bearings, lifting products, and transmission items; and lamps and home furnishing products. It produces wooden building components; provides detached houses; supplies electromechanical and electronic components for various applications; sells light sources and LED luminaires; and specializes in contract manufacturing for sheet metal fabrication and chip-cutting metalwork. It also refurbishes and distributes professional coolers and freezers; designs and manu…
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Frequently asked questions
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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.