Ningbo Joyson Electronic Corp (600699) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 38.2B CNY
Analysis
Ningbo Joyson Electronic Corp (600699) currently trades at ¥23.79, while our model-based Fair Value estimate is ¥30.57 — implying the stock looks roughly 28.5% undervalued today. We read business quality at 81/100 (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: medium) — always confirm before acting.
About the company
Ningbo Joyson Electronic Corp., together with its subsidiaries, engages in the research and development, manufacture, and sales of automotive parts and accessories in China, the United States, Japan, Germany, Mexico, Italy, Romania, Portugal, Poland, Brazil, India, and internationally. The company offers seatbelts, airbags, smart steering wheels and integrated safety solutions related products. The Automotive Electronics Business segment provides automotive intelligence solutions, e-mobility and HMI, etc. It also provides intelligent cockpit services comprising cockpit human-machine interface, in-vehicle connected infotainment and navigation systems, cockpit domain controllers, and vehicle smart interiors; intelligent driving products consisting of LiDars and domain controllers, as well as software technologies, including navigation engines, positioning engines, and automatic parking engines, etc.; and e-mobility products, such as high-voltage booster, multi-functional DC/DC voltage…
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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.