Zhejiang Shibao Company (002703) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 13.2B CNY
Analysis
Zhejiang Shibao Company (002703) currently trades at ¥15.45, while our model-based Fair Value estimate is ¥6.56 — implying the stock looks roughly 57.5% overvalued today. We read business quality at 94/100 (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: high).
About the company
Zhejiang Shibao Company Limited, together with its subsidiaries, researches, develops, manufactures, and sells automotive steering systems and other key steering system components in the People's Republic of China. It offers electric power steering products, including electric power recirculating ball steering gear, electro-hydraulic power recirculating ball steering gear, pinion- assisted and double-pinion-assisted electric power steering, rack-assisted electric power steering, and column-assisted electric power steering; and intelligent steering products, such as steering by wire system, lane keeping aid, rear wheel steering, fully redundant electric-hydraulic and dual motor redundant electric power recirculating ball steering gear. The company also provides hydraulic power steering gear products comprising dual circuit hydraulic power recirculating ball steering gear, hydraulic power recirculating ball steering gear, and hydraulic power rack and pinion steering gear; manual steer…
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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.