Loxley Public Company (LOXLEY) Fair Value & Analysis
Industrials · TH · Market cap 3.5B THB
Fair value as of: Jun 26, 2026
Analysis
Loxley Public Company (LOXLEY) currently trades at 1.44 THB, while our model-based Fair Value estimate is 2.88 THB — implying the stock looks roughly 100.0% undervalued today. We read business quality at 91/100 (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: high) — always confirm before acting.
About the company
Loxley Public Company Limited engages in the trading and turnkey contract sale of telecommunication equipment, rail transport engineering and other systems in Thailand. It operates through six segments: Information Technology Business Group; Services Business Group; Energy Business Group; Network Solutions Business Group; Trading Business Group; and Special and Other Businesses. It offers computer network system and business management; business and airport security; and engages in development of AI and blockchain technology, and cyber-security services. It also provides financial application platforms for financial transactions; cleaning services, building maintenance and turnkey facilities management; and operates power systems for both government and private sectors. In addition, it offers turnkey engineering procurement and construction services; provides power systems for factories, high-rise buildings, and utility systems; system layout designing, installing, and maintaining t…
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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.