Shanghai CDXJ Digital Technology Co (603887) Fair Value & Analysis
Industrials · CN · Market cap 6.5B CNY
Analysis
Shanghai CDXJ Digital Technology Co (603887) currently trades at ¥10.35, while our model-based Fair Value estimate is ¥11.00 — implying the stock looks roughly 6.3% 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: medium) — always confirm before acting.
About the company
Shanghai CDXJ Digital Technology Co.,Ltd, together with its subsidiaries, provides internet data center services in China. It operates in two segments, IDC Investment and Operation Services and IDC Comprehensive Solutions. The company offers high and low voltage cabinets, precision power distribution cabinets, intelligent data busbars, micromodules cabinets and cold aisles, and structured cabling. It also constructs, manufactures, sells, invests, and operates data centers; provides planning and design, hosting, maintenance, and procurement services; and cloud infrastructure. In addition, the company offers IDC solutions, including system integration; general contracting of electromechanical engineering; specialized contracting of electronic and intelligent engineering; prefabricated power modules, cooling plants, and water system piping; and containerized diesel generator sets, as well as enabling ultra-short turnaround times for data center project integration. Further, it is invol…
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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.