Shenzhen CECport Technologies Co (001287) Fair Value & Analysis
Technology · CN · Market cap 19.7B CNY
Analysis
Shenzhen CECport Technologies Co (001287) currently trades at ¥30.02, while our model-based Fair Value estimate is ¥12.04 — implying the stock looks roughly 59.9% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Shenzhen CECport Technologies Co., Ltd., together with its subsidiaries, engages in the distribution of electronic components in China and internationally. The company distributes CPUs, GPUs, MCUs, memory, RF and wireless connectivity products, discrete devices, sensors, and programmable logic under various brand names for consumer electronics, communication systems, industrial electronics, computing, automotive, and other related applications. It also provides design chain services for core and AI processors, wireless communication, sensors, audio/video, signal chains, power systems, motor drives, and embedded systems; integrated supply chain services, including smart warehousing, customs clearance, professional picking, and multi-modal transportation; and digital database services, such as foundational data, integrated transaction, and ecosystem services, as well as SaaS-based applications comprising component supply chain fluctuation analysis, industry indices, and analytical rep…
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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.