Changzhou Tiansheng New Materials Group (300169) Fair Value & Analysis
Basic Materials · CN · Market cap 1.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Changzhou Tiansheng New Materials Group (300169) currently trades at ¥5.30, while our model-based Fair Value estimate is ¥0.6500 — implying the stock looks roughly 87.7% 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
Changzhou Tiansheng New Materials Group Co., Ltd., together with its subsidiaries, engages in the research and development, production, and sale of polymer foam materials in China. The company offers structural foam materials primarily for use in wind power generation, railway transportation, yacht, aerospace, energy buildings conservation, and other industries; and soft foam materials, such as plastic and rubber material for use in various industries, including electronics, home appliances, automobiles, and sports and leisure industries. It also provides functional tape materials. The company exports its products. Changzhou Tiansheng New Materials Group Co., Ltd. was formerly known as Changzhou Tiansheng New Materials Co., Ltd. and changed its name to Changzhou Tiansheng New Materials Group Co., Ltd. in July 2023. Changzhou Tiansheng New Materials Group Co., Ltd. was founded in 1998 and is based in Changzhou, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Changzhou Tiansheng New Materials Group (300169) undervalued?
What is the fair value of 300169?
What is the quality score of 300169?
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.