China Hainan Rubber Industry Group (601118) Fair Value & Analysis
Basic Materials · CN · Market cap 24.8B CNY
Analysis
China Hainan Rubber Industry Group (601118) currently trades at ¥5.72, while our model-based Fair Value estimate is ¥7.08 — implying the stock looks roughly 23.8% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
China Hainan Rubber Industry Group Co.,Ltd. researches, develops, plants, processes, trades in, and finances rubber wood in China. The company offers plantation service, including seeds and seedlings; preliminary processing products; deep processing products, such as latex larn, natural latex pillow, natural latex sheet, natural latex mattress, and latex mattress; wood processing comprising household, and wood products; sales and trade; technology; and industry layout services, as well as offers tropical fruits. It is also involved in trading, processing, and rubber planting business, as well as engages in e-commerce and agriculture related services. In addition, the company focuses on warehousing and logistics activities. It serves agriculture, forestry, animal husbandry, and fishery industries. The company was founded in 2005 and is based in Haikou, China. China Hainan Rubber Industry Group Co.,Ltd. operates as a subsidiary of Hainan Agricultural Reclamation Investment Holding Gro…
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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.