Shenzhen Kedali Industry Co (002850) Fair Value & Analysis
Technology · CN · Market cap 58.1B CNY
Analysis
Shenzhen Kedali Industry Co (002850) currently trades at ¥189.00, while our model-based Fair Value estimate is ¥123.33 — implying the stock looks roughly 34.7% overvalued today. We read business quality at 92/100 (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 Kedali Industry Co., Ltd., together with its subsidiaries, engages in the research, development, manufacture, and sale of precision battery structural components and automotive structural components parts in China and internationally. It offers prismatic can, mobile battery aluminum and cylindrical can, mobile battery prismatic can, power battery, precision structural part of lithium-ion battery, aluminum terminal, Cu-Al compound terminal, cylindrical explosion-proof lithium battery lid/cover/cap, busbar, copper busbar, and mobile batter prismatic can, as well as cylindrical collector, prismatic, and mobile lid/cover/cap. The company also provides auto parts, auto seats, armature, automotive central control instrument, EPB electric motor assembly, and auto door handle; and Cu-Al busbar, EV high power connector, electric railroad module, EV motor terminal block, and PV, EV, and HEV inverter module. Its products are used in various industries, such as automobiles and new ener…
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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.