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Great Giant Fibre Garment Co (4441) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 13.2B TWD

Price193.00 TWD
Fair Value223.17 TWD
Upside+15.6%
Quality95/100
Evidence: High Range 124.41 TWD – 340.40 TWD

Fair value as of: Jun 24, 2026

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Analysis

Great Giant Fibre Garment Co (4441) currently trades at 193.00 TWD, while our model-based Fair Value estimate is 223.17 TWD — implying the stock looks roughly 15.6% 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

Great Giant Fibre Garment Co., Ltd. engages in manufacturing and selling garments and textiles in Taiwan. The company offers active wear, ready-to-wear, and loungewear. The company was founded in 1991 and is based in Taipei, Taiwan.

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Frequently asked questions

Is Great Giant Fibre Garment Co (4441) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 223.17 TWD versus a price of 193.00 TWD — about +16% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 4441?
Our 21-model fair value for Great Giant Fibre Garment Co is 223.17 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 193.00 TWD.
What is the quality score of 4441?
Great Giant Fibre Garment Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.