Jiangsu Huasheng Tianlong Photoelectric Co (300029) Fair Value & Analysis
Technology · CN · Market cap 555M CNY
Fair value as of: Jun 26, 2026
Analysis
Jiangsu Huasheng Tianlong Photoelectric Co (300029) currently trades at ¥0.1500, while our model-based Fair Value estimate is ¥0.0600 — implying the stock looks roughly 60.0% 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
Jiangsu Huasheng Tianlong Photoelectric Co.,Ltd. focuses on new energy power station investment, new energy EPC engineering, and equipment sales, power station operation, and maintenance services in China. The company offers single-crystal silicon crystal growth furnace, single crystal silicon cutting machine, single-product silicon squaring and rounding machines, polycrystalline silicon ingot furnace, single-product silicon seed furnaces, steel ball equipment, and resin diamond wire products. It is also involved in production and sale of polycrystalline silicon wafer; construction, operation, and management of photovoltaic power plants; and production, sale, and services of energy-saving products. In addition, the company manufacturing and sales of new energy prime movers, and offers technical consultation and services. Jiangsu Huasheng Tianlong Photoelectric Co.,Ltd. was founded in 2001 and is based in Changzhou, 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.