SECOM CO., LTD., (SOMLY) Fair Value & Analysis
Industrials · US · Market cap $16.3B
Analysis
SECOM CO., LTD., (SOMLY) currently trades at $9.93, while our model-based Fair Value estimate is $10.51 — implying the stock looks roughly 5.8% undervalued today. We read business quality at 84/100 (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
SECOM CO., LTD., together with its subsidiaries, provides security services in Japan and internationally. The company operates through Security Services, Fire Protection Services, Medical Services, Insurance Services, Geospatial Information Services, BPO and ICT Services, and Other Services segments. The Security Services segment offers static guard, armored car, merchandise, and other services, as well as online security systems. The Fire Protection Services segment provides fire alarm systems, fire extinguishing systems, and maintenance services to office buildings, production facilities, tunnels, cultural properties, ships, and residences. The Medical Services segment offers home nursing, pharmaceutical dispensing, home delivery services, health and preventative care services, and personal and outpatient care services. This segment also operates the general hospital and residences for seniors; and sells medical equipment and pharmaceuticals. The Insurance Services Segment provide…
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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.