BPS Technology Public Company (BPS) Fair Value & Analysis
Technology · TH · Market cap 192M THB
Fair value as of: Jun 24, 2026
Analysis
BPS Technology Public Company (BPS) currently trades at 0.5100 THB, while our model-based Fair Value estimate is 0.3300 THB — implying the stock looks roughly 35.3% overvalued today. We read business quality at 91/100 (high quality), in the Technology 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: medium).
About the company
BPS Technology Public Company Limited engages in the distribution of electrical connectivity equipment, technology related products, and solar cell products in Thailand. It operates through Sales, Service, and Fiber Optic Network segments. The company offers one smart supply (OSS), which includes construction materials and hardware; electrical appliances, plumbing, air conditioning; electrical and communication equipment; and data center and UPS. It also provides one smart builder (OSB), comprising ERV Air solution, water filter, smart network, security system, solar rooftop, and EV charger; and one smart factory (OSF), including data centers, building operation digital assistance, grounding/lightning protection, SVG power quality solutions, and smart factory solutions. The company was formerly known as Bigphaisan Project Company Limited. BPS Technology Public Company Limited was incorporated in 2001 and is headquartered in Samut Prakan, Thailand.
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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.