Fengxing Co (002760) Fair Value & Analysis
Basic Materials · CN · Market cap 55.6B KRW
Fair value as of: Jun 25, 2026
Analysis
Fengxing Co (002760) currently trades at 874.00 KRW, while our model-based Fair Value estimate is 664.00 KRW — implying the stock looks roughly 24.0% 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
Fengxing Co., Ltd. researches and develops, produces, sells, and services metal casting wear-resistant materials under the Phoenix and Fengxing brands in China. The company offers grinding mediums, resistant steel products, mill liners, resist materials, hammer crushers, counterattack crushers, jaw crushers, and cooling machines, as well as designs marine electrical system solutions, and special motors. Its products are used in metallurgy, mining, building materials, cement, thermal power, and other industries, as well as in the production of grinding materials. The company also engages in the import and export activities; recycling of waste materials; provision of ship electrical system solutions; investment, consulting, and management activities; property management business; and design, production, and sale of special motors and their integrated products. It also exports its products to Australia, the Philippines, Japan, Indonesia, South Korea, the United States, and other countr…
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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.