Jiangsu Rainbow Heavy Industries Co (002483) Fair Value & Analysis
Industrials · CN · Market cap 4.7B CNY
Analysis
Jiangsu Rainbow Heavy Industries Co (002483) currently trades at ¥5.26, while our model-based Fair Value estimate is ¥8.54 — implying the stock looks roughly 62.4% undervalued today. We read business quality at 89/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Jiangsu Rainbow Heavy Industries Co., Ltd. engages in equipment manufacturing and environmental protection businesses in China. The company provides material handling equipment, including shipyard/yard/factory handling, bulk material system, scrap steel, wood, waste dump, and inland river wharf bulk, and container handling equipment. It engages in the design, manufacturing, sales, installation, transformation and repair of various special equipment; research and development and leasing of mechanical equipment for various engineering construction activities; loading and unloading and handling; marine engineering equipment manufacturing; non-residential real estate leasing; technical services, technology development, technical consultation, technical exchange, technology transfer, technology promotion, technology import and export, goods import and export, etc. In addition, the company engages in the various offshore wind power installation platform; offshore wind power operation and …
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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.