Yuen Foong Yu Consumer Products Co (6790) Fair Value & Analysis
Consumer Defensive · TW · Market cap 10.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Yuen Foong Yu Consumer Products Co (6790) currently trades at 40.05 TWD, while our model-based Fair Value estimate is 51.53 TWD — implying the stock looks roughly 28.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Yuen Foong Yu Consumer Products Co., Ltd. manufactures and sells paper, paper processed, and household cleaning products in Taiwan and Mainland China. It is also involved in the manufacture and sale of tissue paper and napkins; manufacturing and wholesale of agricultural services, fertilizers and cleaning products; selling of consumer products through e-commerce; intellectual property management; sale of paper; general trade; and provision of information processing services. The company sells its products under the Mayflower, Delight, Tender, Orange House, Fresh Sense, and New Clean brand names. The company was founded in 1946 and is headquartered in Taipei, Taiwan. Yuen Foong Yu Consumer Products Co., Ltd. operates as a subsidiary of YFY Inc.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Yuen Foong Yu Consumer Products Co (6790) undervalued?
What is the fair value of 6790?
What is the quality score of 6790?
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.