Ta Win Holdings (7097) Fair Value & Analysis
Industrials · MY · Market cap 55.1M MYR
Fair value as of: Jun 26, 2026
Analysis
Ta Win Holdings (7097) currently trades at 0.0100 MYR, while our model-based Fair Value estimate is 0.0150 MYR — implying the stock looks roughly 50.0% undervalued today. We read business quality at 92/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
Ta Win Holdings Berhad, an investment holding company, manufactures, sells, and trades in copper wires, rods, and related products in Malaysia, Brunei, Hong Kong, China, Vietnam, and internationally. It operates through Copper Product, Cable and Wire, Wire Harness and Power Cord, and Warehouse and Logistic segments. The company offers automotive, oil and gas, military aerospace, flexible, elevator/lift, fire and flame retardant, housing and LV power, solar PV and power, instrument, and welding and battery cables; magnet wires for magnetic coils inside alternators, ballasts, generators, motors, and transformers, as well as degaussing coil inside television, etc.; and welding wires for tin can manufacturing. It also provides project management; and research and development of energy related products in the electric vehicle charging industry, and products with electric beam irradiation technology. In addition, the company designs, develops, finances, builds, operates, sells, and market…
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Frequently asked questions
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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.