Alimak Group (ALIG) Fair Value & Analysis
Industrials · SE · Market cap 11.6B SEK
Analysis
Alimak Group (ALIG) currently trades at kr 116.40, while our model-based Fair Value estimate is kr 109.90 — implying the stock looks roughly 5.6% 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
Alimak Group AB (publ) designs, manufactures, sells, and services vertical access and working at height solutions worldwide. It operates through five segments: Facade Access, Construction, Height Safety & Productivity Solutions, Industrial and Wind. The company develops, manufactures, sells, services, and rents construction hoists, transport platforms, and mast climbing work platforms for temporary use in construction and renovation projects; sells used construction products; and provides assembly, disassembly, maintenance, operating assistance, transportation, and insurance services. It also offers installed rack-and-pinion and traction elevators used in ports, power, cement, marine, and oil and gas segments for maintenance and accessibility; service solutions, such as package, preventive maintenance and repair, inspection, refurbishment, and customer training services, as well as genuine replacement parts; and permanently installed equipment and systems that enable regular access …
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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.