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Tinergy Chemical Co (002145) Fair Value & Analysis

Basic Materials · CN · Market cap 16.6B CNY

Price¥4.97
Fair Value¥2.28
Upside-54.1%
Quality94/100
Evidence: Medium Range ¥1.99 – ¥2.85

Analysis

Tinergy Chemical Co (002145) currently trades at ¥4.97, while our model-based Fair Value estimate is ¥2.28 — implying the stock looks roughly 54.1% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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

Tinergy Chemical Co., Ltd., together with its subsidiaries, engages in the production and sale of titanium dioxide in China and internationally. The company offers titanium dioxide, ferrous sulfate, phosphate rock, yellow phosphorus, ferric phosphate, modified polyacrylamide, sulfuric acid residue, and new chemical products. It is also involved in logistics and transportation services; waste heat power generation; trading; investments activities; chemical engineering and equipment design; technology development; consulting; and transfer services. The company's products are used in coating, printing ink, plastics, and decor paper/laminate applications. It exports its products. The company was formerly known as CNNC Hua Yuan Titanium Dioxide Co., Ltd and changed its name to Tinergy Chemical Co., Ltd. in October 2025. Tinergy Chemical Co., Ltd. was founded in 1989 and is based in Baiyin, 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.