Guizhou Guihang Automotive Components Co (600523) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 4.6B CNY
Analysis
Guizhou Guihang Automotive Components Co (600523) currently trades at ¥11.16, while our model-based Fair Value estimate is ¥6.63 — implying the stock looks roughly 40.6% overvalued today. We read business quality at 90/100 (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
Guizhou Guihang Automotive Components Co.,Ltd, together with its subsidiaries, engages in the research, development, production, and sale of automotive parts in China and internationally. The company offers aluminum water radiators, oil coolers, intercoolers, blower heater assemblies, and CPU radiators; car air, filter elements, oil and fuel filters; heaters, and condensers, evaporators, and other products. It also provides electric wipers and window regulators; combination switches, power window switches, and other switches; door lock mechanisms; lock cylinder assemblies, ignition switches, door handles, and fuel filler caps/holders. In addition, the company offers aviation products, including electric regulating valves; electromagnetic valves of air conditioning systems; fuel systems, and liquid cooling systems manual valves; electric mechanisms; control components of engines and control systems; aviation seals; and electrical, electronic, and mechanical product manufacturing, avi…
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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.