Jasmine Technology Solution Public Company (JTS) Fair Value & Analysis
Communication Services · TH · Market cap 26.4B THB
Analysis
Jasmine Technology Solution Public Company (JTS) currently trades at 31.50 THB, while our model-based Fair Value estimate is 21.38 THB — implying the stock looks roughly 32.1% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Jasmine Technology Solution Public Company Limited, through its subsidiaries, engages in the design and installation of telecommunication systems, telecom services, bitcoin mining, generative AI, and other businesses in Thailand. The company offers computer system design and software development services; sells computer products; and offers cloud computing services. It also provides internet services; international telecommunications services; domestic and international leased circuit and data communication services; Cloud AI, Internet of Things, and FinTech; and engineering design and consultancy services for energy management and clean energy systems. In addition, the company offers JAI Studio Platform, an AI development platform; GPUs for AI training and deployment; JAI Thai LLM, a Thai language model for communication and understanding in Thai; and AI-driven chat and voice assistants for customer service. The company was formerly known as Jasmine Telecom Systems Public Company L…
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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.