Chia Her Industrial Co (1449) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 1.8B TWD
Fair value as of: Jun 24, 2026
Analysis
Chia Her Industrial Co (1449) currently trades at 14.95 TWD, while our model-based Fair Value estimate is 2.33 TWD — implying the stock looks roughly 84.4% overvalued today. We read business quality at 83/100 (high quality), in the Consumer Cyclical 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
Chia Her Industrial Co., Ltd. manufactures and sells textile products in Taiwan. Its products include performance, fashion, chaser, home, workwear, and yarn products for the military, police, post office, banks, gas stations, students, etc. The company also provides medical masks, protective fabric, and reusable fabric masks. In addition, it offers garment manufacturers, traders, and fabric merchants; manufactures various long-fiber fabrics and sells them to garment manufacturers, traders, and fabric merchants; manufactures, processes, and sells cotton yarn, wool yarn, and blended yarns; construction, leasing, investment, and sale of residential and commercial buildings, contracting of civil engineering projects; manufacturing, banking, insurance, securities, and cultural companies; wholesale, retail, and trading of food, textiles, and various department stores; and the sales of raw silk, yarn, pigments, and dyes for textiles. It serves various industries comprising fashion, outdoor…
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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.