Tianjin TEDA Resources Recycling Group (000652) Fair Value & Analysis
Industrials · CN · Market cap 5.3B CNY
Analysis
Tianjin TEDA Resources Recycling Group (000652) currently trades at ¥3.54, while our model-based Fair Value estimate is ¥7.08 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 90/100 (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: low) — always confirm before acting.
About the company
Tianjin TEDA Resources Recycling Group Co., Ltd. engages in ecological environmental protection, regional development, energy trade wholesale, real estate and textile sale, and other industrial fields in China. It also engages in domestic waste incineration power generation and sanitary landfill, straw incineration power generation, and coordinated disposal of food waste sludge. The company also trades non-ferrous metals, such as electrolytic copper, alumina, aluminum ingots, zinc oxide, zinc concentrate, zinc ingots; ferrous metals, including strip steel, manganese ore, silicon-manganese alloy; and petrochemical products comprise fuel oil, polyethylene, polypropylene, and phenols, as well as involved in equity investment. The company was formerly known as Tianjin TEDA Co., Ltd. and changed its name to Tianjin TEDA Resources Recycling Group Co., Ltd. in July 2025. Tianjin TEDA Resources Recycling Group Co., Ltd. was founded in 1981 and is based in Tianjin, 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.