G-Able Public Company (GABLE) Fair Value & Analysis
Technology · TH · Market cap 2.8B THB
Fair value as of: Jun 25, 2026
Analysis
G-Able Public Company (GABLE) currently trades at 3.88 THB, while our model-based Fair Value estimate is 8.75 THB — implying the stock looks roughly 125.5% undervalued today. We read business quality at 94/100 (high quality), in the Technology 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
G-Able Public Company Limited provides digital solutions, enterprise business, and IT infrastructure solutions in Thailand. The company offers cybersecurity services, including IT infrastructure protection, cloud security protection, application security, data security, endpoint security and user access management, security event monitoring and managed, and security consulting services; and cloud and data center modernization, such as backup recovery and archiving, infrastructure workload optimization, branch transformation, cloud journey/cloud enablement, application development platform, contact center, digital workplace, cloud migration, and ADA booking solutions. It also provides data and analytics solutions comprising data platform and management, modern business intelligence and visualization, and advanced data analytics; and digital business and application, consisting of digital insurance, digital lending, appraisal, digital business operation, WhiteFact PDPA technologies pl…
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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.