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Jiiangsu Times Textile Technology Co (001234) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.6B CNY

Price¥22.08
Fair Value¥7.46
Upside-66.2%
Quality95/100
Evidence: Medium Range ¥6.62 – ¥9.69

Fair value as of: Jun 25, 2026

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Analysis

Jiiangsu Times Textile Technology Co (001234) currently trades at ¥22.08, while our model-based Fair Value estimate is ¥7.46 — implying the stock looks roughly 66.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Jiiangsu Times Textile Technology Co.,LTD engages in the research, development, production, and sales of knitted fabrics and garments in China and internationally. The company's products include sportswear, casual clothing, children's clothing, and others. It is also involved in weaving, dyeing, and finishing of knitted fabric, as well as cutting, printing, embroidery, sewing services. Jiiangsu Times Textile Technology Co.,LTD was founded in 1992 and is based in Rugao, China.

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Frequently asked questions

Is Jiiangsu Times Textile Technology Co (001234) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥7.46 versus a price of ¥22.08 — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 001234?
Our 21-model fair value for Jiiangsu Times Textile Technology Co is ¥7.46 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥22.08.
What is the quality score of 001234?
Jiiangsu Times Textile Technology Co has a Quality Score of 95/100, 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.