Keda Industrial Group (600499) Fair Value & Analysis
Industrials · CN · Market cap 30.0B CNY
Analysis
Keda Industrial Group (600499) currently trades at ¥15.39, while our model-based Fair Value estimate is ¥15.38 — implying the stock looks roughly 0.1% overvalued today. We read business quality at 80/100 (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
Keda Industrial Group Co., Ltd. manufactures and sells ceramic machinery and building material in China. The company offers building materials machinery, clean coal gasification equipment, final-stage flue gas treatment equipment, high-end components and other equipment, building ceramics, and lithium-ion battery materials; and ceramic, stone, ACC, lithium-ion battery materials, and hydraulic machineries. It is also involved in manufacturing ceramics, stone, and wall materials; research, development, and manufacturing of automation technologies and equipment; sales of mechanical and electrical spare parts, sand wheel grinding tools and materials, and ceramic products; and research, development, manufacturing, and sales of clean energy related mechanical equipment, related automation technologies and equipment, clean gas, and vapor and steam. In addition, the company engages in the provision of information technology, software development and sales, system integration, hardware equip…
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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.