Changhua Holding (605018) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 7.4B CNY
Analysis
Changhua Holding (605018) currently trades at ¥14.33, while our model-based Fair Value estimate is ¥4.41 — implying the stock looks roughly 69.2% 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
Changhua Holding Group Co., Ltd. engages in the research and development, production, and sale of automotive metal parts in China and internationally. It offers fasteners, such as bolts, nuts, and special-shaped parts. The company also engages in sunroof reinforcement plate assembly, instrument assembly, trunk partition assembly, rear subframe reinforcement, wheel cover, floor center crossbeam, front subframe, etc.; and IPU fixing bracket, electric motor bracket, VCU bracket, battery fast and slow charging socket bracket, ECU bracket, rear subframe support, battery protection bracket, etc. for new energy vehicles sectors. In addition, it offers aluminum die-casting products mainly include body parts and chassis parts; and special fittings and fastener sets for carbon ceramic brake system. Further, the company provides metal parts, such as high-strength fasteners, bent parts, nut plates, stamped and welded parts, stamped aluminum parts, cast aluminum parts, carbon ceramic brake syste…
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.