Taihan Cable & Solution Co (001440) Fair Value & Analysis
Industrials · KR · Market cap 7.4T KRW
Analysis
Taihan Cable & Solution Co (001440) currently trades at 34,700 KRW, while our model-based Fair Value estimate is 7,906 KRW — implying the stock looks roughly 77.2% overvalued today. We read business quality at 94/100 (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: high).
About the company
Taihan Cable & Solution Co., Ltd. manufactures, processes, and sells electric wires, cables, and related products worldwide. The company offers power generation products, such as transmission cables, distribution cables, industrial cables, heating systems, and busducts; renewable energy cables, comprising submarine and solar power cables; communication cables, including LAN, coaxial, railway, local communication, UL style, CATV, and other cables; and optical cables, which consists of outdoor and indoor optical cables, OPGW/photoelectric composite, conductors, and accessories, as well as base metal products that include copper rod and wires and magnet wires. It also provides power transmission and distribution; offshore wind power; communication; plants; mobility; residential and commercial buildings; vessels and ports; and information and communications technologies solutions. In addition, the company involves in construction and real estate investment business. The company was form…
Open the full interactive analysis →
Similar stocks
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.