Chung-Hsin Electric and Machinery Manufacturing Corp (1513) Fair Value & Analysis
Industrials · TW · Market cap 82.5B TWD
Analysis
Chung-Hsin Electric and Machinery Manufacturing Corp (1513) currently trades at 185.00 TWD, while our model-based Fair Value estimate is 169.60 TWD — implying the stock looks roughly 8.3% overvalued today. We read business quality at 95/100 (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
Chung-Hsin Electric and Machinery Manufacturing Corp. manufactures and sells electric motors and generators in Taiwan and internationally. It operates through Motor Energy; Service; and Engineering and Other segments. It offers power equipment products; power automation products; electricity meter products; system engineering; power project; and generators, and air conditioning products. The company also provides electrical and mechanical, and property management maintenance services; energy management services; engages in urban regeneration; 10kV switchgear, 0.4kV switchgear, DC power switchgear, and neutral grounding resistor for transformer; and manufactures and sells aluminum casting parts for high voltage power supply equipment. In addition, it offers fuel cell products and microgrid energy storage; precision machining components, that includes aerospace parts, semiconductor equipment parts, pressure vessel fabrication, cases components, and power distribution boxes, as well as…
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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.