Samart Corporation (SAMART) Fair Value & Analysis
Technology · TH · Market cap 5.7B THB
Fair value as of: Jun 25, 2026
Analysis
Samart Corporation (SAMART) currently trades at 5.35 THB, while our model-based Fair Value estimate is 9.60 THB — implying the stock looks roughly 79.4% undervalued today. We read business quality at 81/100 (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: medium) — always confirm before acting.
About the company
Samart Corporation Public Company Limited engages in the design, installation, and sale of telecommunications systems and equipment in Thailand, Cambodia, and internationally. It operates through the Digital ICT Solution, Digital Communications, and Utilities and Transportation segments. The Digital ICT Solution segment offers telecommunications and IT network system services, including satellite communications solutions, digital communication networks, DWDM/MPLS, SD-WAN solutions, and digital trunked radio systems; enhanced technology solutions comprising advanced security, cyber security, advanced metering infrastructure, energy management, cloud & data center, e-document & data management, and big data analytics solutions; and business application solutions, such as ERP, core banking systems, e-payment, electronic data interchange, and e-learning solutions. Its Digital Communications segment provides digital trunked radio systems (DTRS) and co-tower rental services for mobile ope…
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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.