Dong Feng Electronic Technology Co (600081) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 5.6B CNY
Analysis
Dong Feng Electronic Technology Co (600081) currently trades at ¥9.89, while our model-based Fair Value estimate is ¥8.11 — implying the stock looks roughly 18.0% overvalued today. We read business quality at 81/100 (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: medium).
About the company
Dong Feng Electronic Technology Co.,Ltd. engages in the manufacture and sale of automotive parts and accessories in China. The company operates in two segments: Automobile and Motorcycle Parts Production and Sales; and House Rental. The company offers automobile interior and exterior trim parts, automobile braking systems, die castings, thermostat systems, etc. It also provides covering cockpit and body systems, braking and intelligent driving system, electric drive system, thermal management system, and powertrain component system, as well as engages in house leasing activities. In addition, the company offers instrument clusters, sensors, flexible shafts, automobile brake systems, motorcycle fuel supply systems, fuel supply systems, die-cast parts, as well as electrical, new energy, and other products. The company was founded in 1997 and is based in Shanghai, China. Dong Feng Electronic Technology Co.,Ltd. operates as a subsidiary of Dongfeng Motor Parts (Group) Co., Ltd.
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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.