Arendals Fossekompani ASA (AFK) Fair Value & Analysis
Industrials · NO · Market cap 9.6B NOK
Analysis
Arendals Fossekompani ASA (AFK) currently trades at kr 179.00, while our model-based Fair Value estimate is kr 41.35 — implying the stock looks roughly 76.9% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Arendals Fossekompani ASA, an industrial investment company, provides cyber secure satellite and mobile communications in Norway, Europe, Asia, and North America. It operates through AFK Vannkraft, Group Management, NSSL Global, ENRX, Tekna, AFK Eiendom, and Alytic segments. It offers voice and data services, and IT support services; and airtime, projects, hardware, and service to the maritime sector, the military and government sector, large international corporations, and the energy sector. The company also generates power through hydropower plants; and owns a portfolio of companies. In addition, it offers wireless induction charging solutions to the automotive, renewable energy/wind energy, pipe fabrication, electronics, and cable and mechanical engineering; materials and plasma systems; and high-purity metal powders for applications, such as 3D printing in the aerospace, medical and consumer electronics sectors, as well as optimized induction plasma systems for industrial resear…
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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.