Changchun FAWAY Group (600742) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 5.9B CNY
Analysis
Changchun FAWAY Group (600742) currently trades at ¥7.58, while our model-based Fair Value estimate is ¥13.77 — implying the stock looks roughly 81.7% undervalued today. We read business quality at 85/100 (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
Changchun FAWAY Group Automobile Components Co., Ltd., together with its subsidiaries, engages in the design, manufacture and sales of automotive interior and exterior parts and components in China. the company offers seats, dashboards, door panels, bumpers, headlights, steel wheels, rearview mirrors, and stamping parts. It is also involved in automobile parts wholesale; automobile parts retail; general cargo warehouse storage services; labor services; machinery and equipment leasing; non-residential real estate leasing; technical services, technology development, technical consulting, technical exchanges, technology transfer, and technology promotion; motor vehicle repair and maintenance; mechanical parts and components processing; metal cutting processing services; sewage treatment and recycling; property management; domestic trade agency; import and export agency; import and export of goods; and research and development of auto parts. The company was formerly known as Changchun F…
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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.