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Sandvik AB (SDVKF) Fair Value & Analysis

Industrials · US · Market cap $51.2B

Price$39.45
Fair Value$18.26
Upside-53.7%
Quality95/100
Evidence: High Range $12.09 – $24.57

Analysis

Sandvik AB (SDVKF) currently trades at $39.45, while our model-based Fair Value estimate is $18.26 — implying the stock looks roughly 53.7% 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

Sandvik AB (publ), an engineering company, provides products and solutions for mining and rock excavation, metal cutting, and materials technology worldwide. The company offers mining and rock excavation equipment, including drill rigs and bolters, underground loaders and trucks, mechanical cutting equipment, rock tools and rock drills, and mining automation; rock processing equipment, such as crushers, screens, hydraulic breakers, demolition tools, and breaker booms. It provides cutting tools and tooling systems, and digital solutions and software; metal powder for additive manufacturing, and products made from controlled expansion alloys; and tungsten powders, as well as recycling services of secondary tungsten raw materials. It serves aerospace, automotive, mining, general engineering, infrastructure, and other industries. Sandvik AB (publ) was founded in 1862 and is headquartered in Stockholm, Sweden.

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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.