dormakaba Holding (DRMKY) Fair Value & Analysis
Industrials · US · Market cap $2.7B
Analysis
dormakaba Holding (DRMKY) currently trades at $12.53, while our model-based Fair Value estimate is $12.19 — implying the stock looks roughly 2.7% 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
dormakaba Holding AG provides access and security solutions worldwide. It offers door hardware products, including door closers, locks, fittings, emergency exits, and panic hardware; interior glass systems comprising manual sliding, manual single and double action door, fittings for glass assemblies, and horizontal sliding walls; and entrance systems, such as swing operators, automatic sliding doors, sliding door operators, revolving doors, security revolving doors and interlocks, sensor barriers and speed gates, and turnstiles. The company also provides mechanical key systems, including cylinder locks with reversible keys; electronic access and data comprising electronic cylinders, electronic door locks, digital door locks, card readers and peripherals, and time and attendance; lodging systems that include access management systems, electronic hotel locks, and perimeter access; and safe locks under the Axessor Appex Series, Axxesor, Paxos, Cencon, CenconX, Auditcon, LA GARD electro…
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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.