Shuangliang Eco-Energy Systems Co (600481) Fair Value & Analysis
Industrials · CN · Market cap 10.4B CNY
Analysis
Shuangliang Eco-Energy Systems Co (600481) currently trades at ¥4.65, while our model-based Fair Value estimate is ¥3.08 — implying the stock looks roughly 33.8% 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: medium).
About the company
Shuangliang Eco-Energy Systems Co.,Ltd provides energy and water saving, and new energy equipment in China. The company offers lithium bromide absorption central air conditioning systems, gas turbine inlet cooling system, distributed energy systems, industrial waste heat utilization system, and multi-energy complementary clean heating systems; air-cooled condensing system, water-saving and anti-fogging industrial circulating water cooling system, and intelligent air-cooled system; heat exchanger, vaporizer, steam heater; magnetic levitation, centrifugal compression, and screw compressor series; and smart energy solutions. It also provides polysilicon reduction process complete equipment, single crystal silicon material, super high-efficiency photovoltaic modules, distributed photovoltaic, and alkaline water electrolysis hydrogen production systems. Shuangliang Eco-Energy Systems Co.,Ltd was founded in 1982 and is based in Jiangyin, the People's Republic of 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.