Forth Corporation (FORTH) Fair Value & Analysis
Industrials · TH · Market cap 14.2B THB
Fair value as of: Jun 26, 2026
Analysis
Forth Corporation (FORTH) currently trades at 16.10 THB, while our model-based Fair Value estimate is 8.88 THB — implying the stock looks roughly 44.8% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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
Forth Corporation Public Company Limited, together with its subsidiaries, manufactures and distributes electronic equipment in Thailand, Netherlands, United States of America, and internationally. It operates through three segments: Electronics Manufacturing Service Business; Enterprise Solutions Business; and Smart Service Business. It offers Forth Taglock EM, a tracking device made for prisoners; nurse call systems; GPS devices and GPS tracking systems; lighting system solutions; smart traffic light systems; smart grids; multi-service access network telephone exchange equipment; online learning and academic record management system; EV charging stations; smart meter and smart meter systems; and small gas station and oil vending machines. The company also provides top-up and payment kiosks; Boonterm Counter Service that has a touch screen with a data acquisition system that helps monitor usage and print receipts backwards; Boonterm water dispensers; automated cup beverage vending m…
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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.