Valmet Oyj (VALMT) Fair Value & Analysis
Industrials · FI · Market cap €4.3B
Analysis
Valmet Oyj (VALMT) currently trades at €21.66, while our model-based Fair Value estimate is €31.80 — implying the stock looks roughly 46.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Valmet Oyj develops and supplies process technologies, automation, and services for the pulp, paper, and energy industries in North America, Latin America, EMEA, China, and Asia-Pacific. It operates through two segments: Process Performance Solutions and Biomaterial Solutions and Services. The Process Performance Solutions segment delivers flow control technologies and automation systems, ranging from individual measurements to full plant-wide solutions. The Biomaterial Solutions and Services segment serves global producers in the pulp, paper, packaging, tissue, and bioenergy industries, providing complete production lines, key process islands; and a full range of lifecycle services, enabling improvements in fiber yield, energy and water efficiency, emissions, and operational uptime. It offers automation systems, distributed control systems, industrial applications, analyzers and measurements, industrial internet solutions, automation services, valves, pumps, and valve automation so…
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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.