ASSA ABLOY AB (ASAZY) Fair Value & Analysis
Industrials · US · Market cap $39.7B
Analysis
ASSA ABLOY AB (ASAZY) currently trades at $16.83, while our model-based Fair Value estimate is $14.29 — implying the stock looks roughly 15.1% 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
ASSA ABLOY AB (publ) provides door opening and access products for the institutional, commercial, and residential markets. It operates through Europe, the Middle East, India, and Africa (EMEIA); North and South America (Americas); Asia and Oceania (Asia Pacific); Global Technologies; and Entrance Systems divisions. The company offers digital access solutions, such as electronic access control ecosystem, wireless and keyed access solutions, and standalone access and electrochemical solutions; swing, revolving, and sliding doors; hinges, lever handles, mortise lockcases, euro profile cylinders, panic exit devices, door closers, floor springs, pull handles, and general hardware; wooden and steel doors; and security entrance control and loading dock equipment. It also provides repair and maintenance, and digital services; building specification; and educational program and training services. In addition, the company's technology platforms for hi-tech door and entrance environments inclu…
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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.