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Jiangsu Topfly New Materials Co (001373) Fair Value & Analysis

Technology · CN · Market cap 2.3B CNY

Price¥34.93
Fair Value¥37.26
Upside+6.7%
Quality92/100
Evidence: Low Range ¥27.95 – ¥46.58

Fair value as of: Jun 25, 2026

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Analysis

Jiangsu Topfly New Materials Co (001373) currently trades at ¥34.93, while our model-based Fair Value estimate is ¥37.26 — implying the stock looks roughly 6.7% undervalued today. We read business quality at 92/100 (high quality), in the Technology 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

Jiangsu Topfly New Materials Co., Ltd. engages in the research and development, production, processing, and sale of optoelectronic display thin-film devices in China. The company offers optical diaphragms, polarizers, and functional adhesive materials. Its products are used in LCD TVs, monitors, laptops, tablets, mobile phones, wearable devices, vehicle displays, industrial control and public displays, and other optoelectronic display products. The company was founded in 2012 and is headquartered in Nanjing, China.

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Frequently asked questions

Is Jiangsu Topfly New Materials Co (001373) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥37.26 versus a price of ¥34.93 — about +7% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 001373?
Our 21-model fair value for Jiangsu Topfly New Materials Co is ¥37.26 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥34.93.
What is the quality score of 001373?
Jiangsu Topfly New Materials Co has a Quality Score of 92/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.