Beijing Andawell Science & Technology Co (300719) Fair Value & Analysis
Industrials · CN · Market cap 3.4B CNY
Analysis
Beijing Andawell Science & Technology Co (300719) currently trades at ¥12.69, while our model-based Fair Value estimate is ¥18.11 — implying the stock looks roughly 42.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
Beijing Andawell Science & Technology Co., Ltd. operates in aviation industry in the People's Republic of China. It engages in the development of aviation airborne equipment; measurement, control, and support equipment; intelligent equipment; and industrial software, as well as provides aircraft maintenance solutions. The company also offers aviation seats, such as crash-resistant, mechanic, pilot, and operator seats, as well as passenger seats for transport aircraft and helicopters; cabin equipment, including aircraft interior, integrated kitchen, integrated bathroom, cabin lighting, etc.; mechatronics products comprising side rail components, cargo loading systems, etc.; navigation systems that include radio altimeters, radio compasses, multi-mode combined navigation, backup displays, and ground proximity warning systems; and composite components comprising optoelectronic domes, aircraft fairings, UAV beams and wing structures, aerospace and ship structures, etc., as well as helic…
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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.