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Nokia Oyj (NOKBF) Fair Value & Analysis

Technology · US · Market cap $75.4B

Price$13.62
Fair Value$4.54
Upside-66.7%
Quality95/100
Evidence: High Range $3.23 – $5.85

Analysis

Nokia Oyj (NOKBF) currently trades at $13.62, while our model-based Fair Value estimate is $4.54 — implying the stock looks roughly 66.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Nokia Oyj, together with its subsidiaries, provides mobile, fixed, and cloud network solutions in North and Latin America, Greater China, India, Asia Pacific, Europe, the Middle East, and Africa. It operates in four segments: Network Infrastructure, Mobile Networks, Cloud and Network Services, and Nokia Technologies. The company offers fixed network solutions, such as fiber and copper technologies, access infrastructure, in-home Wi-Fi solutions, and cloud and virtualization services; IP network solutions, which delivers IP edge routing and data center networking solutions for residential, mobile, enterprise, and cloud applications; and optical networks solutions, which provides optical transport networks for metro, regional, and long-haul applications. It also provides mobile technology products and services for radio access networks and microwave radio links for transport networks; and network management solutions, as well as network planning, optimization, network deployment, and …

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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.