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Jiangsu Tongda Power Technology Co (002576) Fair Value & Analysis

Industrials · CN · Market cap 2.7B CNY

Price¥15.46
Fair Value¥10.08
Upside-34.8%
Quality94/100
Evidence: High Range ¥6.94 – ¥13.10

Fair value as of: Jun 25, 2026

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Analysis

Jiangsu Tongda Power Technology Co (002576) currently trades at ¥15.46, while our model-based Fair Value estimate is ¥10.08 — implying the stock looks roughly 34.8% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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: high).

About the company

Jiangsu Tongda Power Technology Co.,Ltd. manufactures and sells motor and generator stator and rotor iron core products primarily in China. The company offers new energy vehicle motors, core products, power generators, wind power generators, film processing products, and high voltage motors. The company was founded in 1988 and is based in Nantong, China.

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Frequently asked questions

Is Jiangsu Tongda Power Technology Co (002576) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥10.08 versus a price of ¥15.46 — about −35% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002576?
Our 21-model fair value for Jiangsu Tongda Power Technology Co is ¥10.08 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥15.46.
What is the quality score of 002576?
Jiangsu Tongda Power Technology Co has a Quality Score of 94/100, 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.