Longhua Technology Group (300263) Fair Value & Analysis
Industrials · CN · Market cap 16.5B CNY
Analysis
Longhua Technology Group (300263) currently trades at ¥16.49, while our model-based Fair Value estimate is ¥3.86 — implying the stock looks roughly 76.6% overvalued today. We read business quality at 94/100 (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
Longhua Technology Group Co.,Ltd. manufactures and sells heat transfer and energy-saving equipment in China. The company is also involved in research and development, production and sale of new electronic materials, polymer composite materials. It offers indium tin oxide target materials and high-purity targets, which are used in single crystal furnace, steel, medical, military, and other industries; and binding processing and technical services of metal targets, special functional ceramic targets, and related new materials. The company also provides resin composite, structural foam, rubber-plastic, metal-non-metal composite, functional integrated, and other structural materials which are used in rail transit, military security, lightweight structures, insulation protection, special vehicles, ship materials and other industries; resin-based structural and functional integrated composite materials for ships, and marine engineering. In addition, it offers heat transfer and energy savi…
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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.