Henan Hengxing Science & Technology Co (002132) Fair Value & Analysis
Basic Materials · CN · Market cap 7.4B CNY
Analysis
Henan Hengxing Science & Technology Co (002132) currently trades at ¥5.11, while our model-based Fair Value estimate is ¥0.6200 — implying the stock looks roughly 87.9% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Henan Hengxing Science & Technology Co.,Ltd. manufactures and sells metal and chemical products in China. The company produces galvanized steel wires, including ACSR core wire, galvanized steel strand, stay wire and earth wires, and guy wire, as well as PC strand; brass coated steel wire, steel cord for radial tire, diamond wire, and sawing wire for solar wafer cutting that are used in automobile tires, rubber hose, power cable, overhead power lines, high-speed railways, ports, solar silicon wafer cutting. It also engages in the research and development, production, and sale of organic silicon and related products, including DMC, D5, 110 glue, 107 glue, and fumed silica, silicone oil, and other products are used in construction, new energy, electronic appliances, electric power, automobile industry, rail, railway transportation, medical treatment, personal care, and other industries. The company was founded in 1995 and is headquartered in Gongyi, China.
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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.