Beijing Jiaoda Signal Technology Co (300851) Fair Value & Analysis
Industrials · CN · Market cap 2.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Beijing Jiaoda Signal Technology Co (300851) currently trades at ¥23.93, while our model-based Fair Value estimate is ¥12.25 — implying the stock looks roughly 48.8% overvalued today. We read business quality at 95/100 (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
Beijing Jiaoda Signal Technology Co., Ltd. engages in research and development, design, production, sales, and technical support of key equipment for rail transit train operation control systems in China. The company offers locomotive signal CPU components, transponder systems, and track circuit readers. It also provides locomotive signal on-board system equipment; track circuit reader; early warning system, BTM inventory inspection system, transponder system fault warning platform, locomotive signal vehicle-ground integration analysis system, and intelligent check management system of column control data; and educational training and simulation systems. In addition, the company is involved in manufacturing of accessories; technical services; transfer and development of technology; application software services; software development; and computer system services. Its products are used in railway, urban transit, and other projects. The company was founded in 2001 and is based in Beij…
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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.