Studsvik AB (SVIK) Fair Value & Analysis
Industrials · SE · Market cap 2.0B SEK
Fair value as of: Jun 24, 2026
Analysis
Studsvik AB (SVIK) currently trades at kr 217.50, while our model-based Fair Value estimate is kr 91.09 — implying the stock looks roughly 58.1% 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
Studsvik AB (publ) provides technical solutions across the nuclear and radioactive material in Sweden, Germany, Europe, Asia, North America, and internationally. It offers decommissioning and radiation protection services in the areas of radiation protection, engineering, decommissioning, dismantling, and decontamination; and fuel and materials technology services, such as fuel qualification, plant life management, international programs, final storage research, hot cell technology, and transport of irradiated materials, as well as isotopes for medical or industrial application. The company also engages in the development and support of fuel vendor-independent reactor analysis software, as well as provides CASMO5, a lattice physics code for modeling PWR and BWR fuel; HELIOS-2, a two-dimensional, generalized-geometry lattice physics transport code; SIMULATE5, a 3D, steady state, multi-group, nodal code to analyze PWRs and BWRs; SIMULATE-5K, a two-group nodal code for transient analys…
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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.