Henan Yicheng New Energy Co (300080) Fair Value & Analysis
Technology · CN · Market cap 136B KRW
Fair value as of: Jun 24, 2026
Analysis
Henan Yicheng New Energy Co (300080) currently trades at 6,350 KRW, while our model-based Fair Value estimate is 5,740 KRW — implying the stock looks roughly 9.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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 Yicheng New Energy Co., Ltd. manufactures and sells ultra-high power graphite electrodes and negative electrode materials in China. The company offers monocrystalline silicon cells, photovoltaic and wind power stations, cylindrical lithium-ion batteries, and vanadium liquid flow battery stacks. It also provides carbon products; electronic special materials, chemical products, and graphite and carbon products; high-performance fibers and composite materials and electronic materials; electrical accessories for new energy vehicles; and silicon carbide, abrasives, grinding tools, silicon micropowder processing, coke, and electrolytic copper. In addition, the company engages in the sales of photovoltaic equipment and components; research and development of emerging energy technology; leasing of real estate properties; and technical consulting activities. Henan Yicheng New Energy Co., Ltd. was founded in 1997 and is headquartered in Zhengzhou, 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.