Ta Ya Electric Wire & Cable Co (1609) Fair Value & Analysis
Industrials · TW · Market cap 29.2B TWD
Analysis
Ta Ya Electric Wire & Cable Co (1609) currently trades at 37.40 TWD, while our model-based Fair Value estimate is 28.02 TWD — implying the stock looks roughly 25.1% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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
Ta Ya Electric Wire & Cable Co., Ltd., together with its subsidiaries, engages in the manufacture and sale of electric wires and cables in Taiwan and rest of Asia. It operates through Wire and cable department and Solar Power Plants segments. The company offers power, telecommunication, optical fiber cables, as well as heat resistant, flame retardant, and fire-resistant cable; and lead free PVS and green wires. It also provides triple insulation layers and enameled wires; copper bonding and bare copper wires; and engages in construction business. In addition, the company engages in the general investment activities; processing of metal; heat supply; acts as a sales agent; manufacturing and marketing of plastic; solar power business; metalworking; and provision of other management consulting, energy technical, and thermal energy supply services. The company was formerly known as Ta Ya Enterprise and changed its name to Ta Ya Electric Wire & Cable Co., Ltd. in 1967. Ta Ya Electric Wir…
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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.