Hongyuan Green Energy Co (603185) Fair Value & Analysis
Industrials · CN · Market cap 12.6B CNY
Analysis
Hongyuan Green Energy Co (603185) currently trades at ¥17.35, while our model-based Fair Value estimate is ¥11.71 — implying the stock looks roughly 32.5% overvalued today. We read business quality at 95/100 (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
Hongyuan Green Energy Co., Ltd. engages in the photovoltaic crystalline silicon industry chain and high-end intelligent equipment business in China. The company offers polysilicon materials, monocrystalline silicon wafers, photovoltaic cells, photovoltaic modules, and other products. It is also involved in manufacturing, processing, and sales of CNC machine tools, general-purpose machine tools, automated control equipment, testing equipment, metal structural parts, machine tool parts, and accessories; hardware processing; and the manufacturing and sales of semiconductor materials, graphite materials, carbon-carbon materials, and monocrystalline silicon rods and wafers. In addition, the company engages in research, development, manufacturing, and sales of specialized electronic materials, semiconductor devices, non-metallic minerals and products, and photovoltaic equipment and components, as well as develops CNC software. Hoyuan Green Energy Co., Ltd. was founded in 2002 and is headq…
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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.