Allegion plc (A1GN34) Fair Value & Analysis
Industrials · BR · Market cap R$66.0B
Analysis
Allegion plc (A1GN34) currently trades at R$383.80, while our model-based Fair Value estimate is R$65.64 — implying the stock looks roughly 82.9% overvalued today. We read business quality at 91/100 (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
Allegion plc engages in the provision of security products and solutions worldwide. It is operating through two segments: Allegion Americas and Allegion International. The company offers door controls, door control system, and exit devices; doors, glass and door systems, and accessories; electronic security products and access control systems, including time, attendance, and workforce productivity; and locks, locksets, portable locks, and key systems. It also provides services and software, such as inspection, maintenance, and repair services for its automatic entrance solutions; software as a service, including access control, platform integration, and workforce management solutions; and ongoing aftermarket services, and design and installation offerings. In addition, the company sells its products and solutions to end-users in commercial, institutional, and residential facilities, including education, healthcare, government, hospitality, retail, commercial office, and single and m…
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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.