Nohmi Bosai Ltd (NHMBF) Fair Value & Analysis
Industrials · US · Market cap $1.4B
Analysis
Nohmi Bosai Ltd (NHMBF) currently trades at $23.37, while our model-based Fair Value estimate is $26.04 — implying the stock looks roughly 11.4% undervalued today. We read business quality at 86/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Nohmi Bosai Ltd. engages in the development, marketing, installation, and maintenance of various fire protection systems in Japan. The company operates in Fire Alarm Systems, Fire Extinguishing Systems, Maintenance Services, and Others segment. The Fire Alarm Systems segment offers various fire alarm systems and equipment, including automatic fire alarm systems, fire and smoke control systems, and environment monitoring systems, for homes to large-scale facilities. The Fire Extinguishing Systems segment offers sprinklers systems, foam fire extinguishing systems, and nitrogen gas fire suppression systems for large-scale structures, including office buildings, commercial facilities, industrial plants and factories, and road tunnels. The Maintenance Services segment provides various maintenance and inspection services related to fire protection equipment, including around-the-clock support services, as well as repair services. The company is also involved in the installation and manage…
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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.