Success Transformer Corporation (7207) Fair Value & Analysis
Industrials · MY · Market cap 143M MYR
Fair value as of: Jun 24, 2026
Analysis
Success Transformer Corporation (7207) currently trades at 0.5750 MYR, while our model-based Fair Value estimate is 0.9500 MYR — implying the stock looks roughly 65.2% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Success Transformer Corporation Berhad, an investment holding company, engages in the design, manufacture, marketing, and distribution of electrical apparatus and industrial lighting products in Malaysia, the People's Republic of China, and internationally. The company offers power transformers and electrical apparatus such as detuned harmonic circuit filter reactors, automatic voltage stabilizers, battery charger and metal enclosure; LED industrial lighting products including streetlights, floodlights, highbay lights and HID lightings; and intelligent light control systems. It is also involved in trading and marketing of goods related to healthcare products and personal protection equipment; and designs, manufactures, and trades in industrial light fittings and fixtures; markets and distributes electrical appliances and industrial lighting products; wholesales lighting, mechanical, and electrical products, metal enclosures, and accessories. In addition, the company offers aluminum …
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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.