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Shanghai W-Ibeda High Tech.Group Co (688071) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.7B CNY

Price¥34.14
Fair Value¥47.83
Upside+40.1%
Quality94/100
Evidence: Low Range ¥35.87 – ¥59.78

Fair value as of: Jun 24, 2026

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Analysis

Shanghai W-Ibeda High Tech.Group Co (688071) currently trades at ¥34.14, while our model-based Fair Value estimate is ¥47.83 — implying the stock looks roughly 40.1% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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

Shanghai W-Ibeda High Tech.Group Co.,Ltd. researches, develops, and manufactures automotive powertrain intelligent test equipment in China. The company also engages in new energy vehicle powertrain testing services and intelligent driving related businesses. It also offers test equipment systems of gearboxes, engines, turbocharger, and water and oil pumps. Shanghai W-Ibeda High Tech.Group Co.,Ltd. was founded in 1998 and is based in Shanghai, China.

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Frequently asked questions

Is Shanghai W-Ibeda High Tech.Group Co (688071) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥47.83 versus a price of ¥34.14 — about +40% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 688071?
Our 21-model fair value for Shanghai W-Ibeda High Tech.Group Co is ¥47.83 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥34.14.
What is the quality score of 688071?
Shanghai W-Ibeda High Tech.Group 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.