Jiangsu Shemar Electric Co (603530) Fair Value & Analysis
Industrials · CN · Market cap 23.2B CNY
Analysis
Jiangsu Shemar Electric Co (603530) currently trades at ¥56.35, while our model-based Fair Value estimate is ¥18.72 — implying the stock looks roughly 66.8% 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
Jiangsu Shemar Electric Co.,Ltd engages in the research and development, production, and sale of composite external insulation for power system substations, composite external insulation for power transmission and distribution lines, and rubber seals in China. It offers transmission line products, including line post, braced line post, and composite insulators; substation includes substation post insulators, compact composite substation gantry, new explosion-proof transformer composite bushing, anti-flashover solution, and overall sealing solution; and distributes distribution line post insulator. The company also engages in; and sale of rubber products, power equipment, and molds; provides hollow, post, and line insulators and bushings, crossarms, transmission conductors, dry-type insulated tubular busbars, cable accessories, substation support structures, gas-insulated pipeline busbars, pot-type insulators, insulator auxiliary skirts, power transmission and distribution equipment …
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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.