Chengdu Xinzhu Road&Bridge Machinery Co (002480) Fair Value & Analysis
Industrials · CN · Market cap 4.4B CNY
Analysis
Chengdu Xinzhu Road&Bridge Machinery Co (002480) currently trades at ¥5.52, while our model-based Fair Value estimate is ¥4.14 — implying the stock looks roughly 25.0% overvalued today. We read business quality at 81/100 (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
Chengdu Xinzhu Road&Bridge Machinery Co.,LTD, together with its subsidiaries, provides products and services for urban rail transit systems in China and internationally. It operates through Bridge Features, Railway Transportation, and Photovoltaic Power Generation segments. The company offers urban rail transit systems comprising embedded medium-low speed maglev, modern tram, suspended monorail, and the imbedded and continuously supported track systems, as well as metro transports. It also provides transportation functional components, including bridge supports comprising isolation and rubber bearing, and steel support products; expansion joints; bridge inspection vehicles; pre-stressed anchorage devices; bridge dampers consisting of lead, mild steel, and viscous dampers; and disaster reduction and prevention products, including flexible steel frame, and active and passive protection netting products. In addition, the company offers photovoltaic power generation, investment manageme…
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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.