Hwa Fong Rubber (Thailand) Public Company (HFT) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 2.7B THB
Fair value as of: Jun 24, 2026
Analysis
Hwa Fong Rubber (Thailand) Public Company (HFT) currently trades at 4.04 THB, while our model-based Fair Value estimate is 6.70 THB — implying the stock looks roughly 65.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Hwa Fong Rubber (Thailand) Public Company Limited, together with its subsidiaries, manufactures and distributes tires and tubes for bicycles, motorcycles, and small logistics vehicles in Thailand, the rest of Asia, Europe, America, and internationally. It operates through two segments, Sales of Goods and Services; and Investment. The company offers tires for motorcycles, including sport, scooter, vintage, big bike, and motocross tires; tires for bicycles, such as mountain, road racing, city and touring, BMX, freestyle, and electric bikes; tires for ATVs; tires for agricultural and industrial vehicles; tires for golf cars; tires for wheelchairs, carts, forklifts, tractors, and tuk-tuks; and tires for beach and mountain climbing. It also provides tubes for motorcycles and bicycles, as well as accessories. The company markets its products under the Dunlop, Duro, Quick, and Eco Tire trademarks. In addition, it engages in the investment in bonds and securities; and wholesale and retail t…
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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.