Mycronic AB (MYCR) Fair Value & Analysis
Industrials · SE · Market cap 58.6B SEK
Fair value as of: Jun 24, 2026
Analysis
Mycronic AB (MYCR) currently trades at kr 301.60, while our model-based Fair Value estimate is kr 159.78 — implying the stock looks roughly 47.0% 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
Mycronic AB (publ) develops, manufactures, and sells production equipment for electronics industry in Sweden, rest of Europe, the United States, other Americas, China, South Korea, rest of Asia, and internationally. It operates through four segments: Pattern Generators, PCB Assembly, High-Volume, and Global Technologies. The Pattern Generators segment develops, manufactures, and markets mask writers and metrology systems for display manufacturing and production of semiconductors. The PCB Assembly segment develops, manufactures, and markets flexible PCB assembly solutions, including jet printing, stencil printing, 3D inspection, component placement, and automated storage solutions. The High-Volume segment develops, manufactures, and markets automated system for dispensing and conformal coating for high-volume electronics production. The Global Technologies segment offers die bonding, PCB test, photonic interconnects, magnetic test, and applied plasma. The company sells its products t…
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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.