AVIC Heavy Machinery Co (600765) Fair Value & Analysis
Industrials · CN · Market cap 21.8B CNY
Fair value as of: Jun 24, 2026
Analysis
AVIC Heavy Machinery Co (600765) currently trades at ¥14.15, while our model-based Fair Value estimate is ¥8.24 — implying the stock looks roughly 41.8% overvalued today. We read business quality at 86/100 (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: medium).
About the company
AVIC Heavy Machinery Co., Ltd. engages in forging, casting, hydraulic environmental control and other business in China. The company is involved in the production of die, free, isothermal, and ring forging, which consist of aircraft beams; frames; joints; hangings; landing gear and other structural parts; aircraft engines and gas turbine discs; rotating parts, such as discs and shafts; and still parts such as receivers and mounting edges; missile engine and rocket engine forgings; and other civilian forgings for aviation, and other military and civilian uses. Its forging products are primarily used in aviation, aerospace, ships, weapons, electric power, petrochemical, railway, automobile, mining, construction machinery, and other fields. It is also involved in the research, development, and production of aerospace castings, investment in precision casting, metal mold casting, centrifugal casting, etc.; and alloy casting, such as high-temperature alloys, aluminum alloys, titanium all…
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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.