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Feng Tay Enterprises Co (9910) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 90.7B TWD

Price71.80 TWD
Fair Value112.20 TWD
Upside+56.3%
Quality89/100
Evidence: Medium Range 75.01 TWD – 140.25 TWD

Analysis

Feng Tay Enterprises Co (9910) currently trades at 71.80 TWD, while our model-based Fair Value estimate is 112.20 TWD — implying the stock looks roughly 56.3% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.

About the company

Feng Tay Enterprises Co., Ltd. manufactures and sells athletic shoes in Singapore, the United States, Mainland China, Switzerland, Mexico, and internationally. The company provides casual shoes, ice skates, ski boots, golf balls, soccer balls, backpacks, ice hockey helmets and clubs, shoe parts, shoe molds, and tools. It offers international trade services; manufactures and repairs molds, cutting dies, shoe lasts, and injections, as well as processes metal parts; manufactures and processes plastic products; produces semi-finished footwear, protective gear, and other supporting products, as well as footwear accessories; engages in the wholesale and retail of general merchandise, and provision of related services; and develops industrial parks. The company was founded in 1971 and is headquartered in Douliou City, Taiwan.

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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.