Fujian Nanping Sun Cable Co (002300) Fair Value & Analysis
Industrials · CN · Market cap 5.6B CNY
Analysis
Fujian Nanping Sun Cable Co (002300) currently trades at ¥7.37, while our model-based Fair Value estimate is ¥2.42 — implying the stock looks roughly 67.2% overvalued today. We read business quality at 86/100 (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: medium).
About the company
Fujian Nanping Sun Cable Co., Ltd. engages in research and manufacturing of wires and cables in China. The company offers aluminum alloy conductor cross-linked polyethylene insulated power cables, rubber sheathed flexible cable, control cable, PVC insulated wire and power cable, overhead insulated cable, photovoltaic cable, irradiation cross-linked halogen-free low-smoke flame-retardant polyolefin insulated wire and cable series, metal-sheathed inorganic mineral insulated cables, 220KV cables, and marine cables. It also provides plastic power cables, special overhead conductors, steel core aluminum stranded wires, computer cables, B, R series plastic wires, automotive wires, radio frequency cables, mining cables, locomotive cables, nuclear power plant cables, wind power cables, silicone rubber insulated cables, submarine power cables, submarine optoelectronic composite cables, submarine cables and high-voltage cables for land use, and other products. In addition, it is involved in m…
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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.