GTM Holdings (1437) Fair Value & Analysis
Real Estate · TW · Market cap 5.9B TWD
Fair value as of: Jun 25, 2026
Analysis
GTM Holdings (1437) currently trades at 30.05 TWD, while our model-based Fair Value estimate is 19.25 TWD — implying the stock looks roughly 35.9% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: high).
About the company
GTM Holdings Corporation, together with its subsidiaries, engages in the real estate, textile, electronic, solar, and investment businesses in Taiwan. It operates in three segments: Textile, Electronic, and Real Estate. The company develops, sells, and leases office buildings, shopping malls, and logistics centers, as well as building construction and leasing of residential properties. It also engages in the manufacture and trade of textiles, ready-made garments, knitwear, wool quilts and blankets, suits, pillows, sheets, bedspreads, shawls, underwear, and other products, as well as supplying military uniforms; manufactures and trades in electronic components and materials; wholesale and retail of fabrics; develops and operates renewable energy; and invests in domestic and foreign stocks, bonds, and funds, as well as post-investment management of re-investment businesses. GTM Holdings Corporation was founded in 1951 and is based in Taipei 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.