AVIC Airborne Systems Co (600372) Fair Value & Analysis
Industrials · CN · Market cap 53.9B CNY
Analysis
AVIC Airborne Systems Co (600372) currently trades at ¥11.15, while our model-based Fair Value estimate is ¥4.63 — implying the stock looks roughly 58.5% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
AVIC Airborne Systems Co., Ltd. Manufactures aviation products in China. The company offers avionics systems, flight control systems, and electromechanical systems; mechanical and electronic engineering, avionics, in the fields of aviation, aerospace, shipbuilding, and weapons; automatic control, inertial navigation, electronic information, radar and fire control systems, electronic countermeasures, air traffic control, flight data, integrated imaging; instruments, meters and basic components; communication networks, electronic information and integrated circuits. It also provides roads, smart cities and the internet of things, industrial automation, industrial safety, rail transit, energy conservation and environmental protection and new energy electronics, intelligent equipment; equipment, sensors, motors, textile machinery, optical instruments. In addition, the company engages in research, development, production, sales, and service of electronic equipment, electromechanical equi…
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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.