NINGBO HENGSHUAI Co (300969) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 16.4B CNY
Analysis
NINGBO HENGSHUAI Co (300969) currently trades at ¥96.04, while our model-based Fair Value estimate is ¥16.59 — implying the stock looks roughly 82.7% 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: high).
About the company
NINGBO HENGSHUAI Co., LTD. engages in the research and development, production, and sale of automotive motor technology and fluid technology related products worldwide. It offers driving vision washing system products that include automobile washing pumps, washing system products, active sensing washing systems of smart car advanced driving assistance systems (ADAS) sensors, and other products; and thermal management system products, such as cooling manifolds, electronic circulation pumps, and other products of new energy vehicle thermal management systems. The company also provides motor technology products comprising trunk and side door motors, fan motors, ABS Motors, drum motors, and others; and electric module products, including invisible door handle drive mechanisms, charging small door actuators, and others. The company was founded in 2001 and is headquartered in Ningbo, China. NINGBO HENGSHUAI Co., LTD. is a subsidiary of Ningbo Hengshuai Investment Management Co., Ltd.
Open the full interactive analysis →
Similar stocks
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.