Hefei Kewell Power System Co (688551) Fair Value & Analysis
Technology · CN · Market cap 6.4B CNY
Analysis
Hefei Kewell Power System Co (688551) currently trades at ¥68.64, while our model-based Fair Value estimate is ¥11.91 — implying the stock looks roughly 82.6% 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
Hefei Kewell Power System Co.,Ltd. provides test systems and intelligent manufacturing equipment in China and internationally. The company offers test power supply products, hydrogen energy testing and intelligent manufacturing equipment, and power semiconductor testing and intelligent manufacturing equipment. It also provides AI server power system testing, photovoltaic energy storage testing, new energy vehicle testing, fuel cell testing system, electrolytic cell testing system, power semiconductor test, and semiconductor packaging process equipment solutions; and technical, quality, and customer support services. The company exports its products to Europe, Japan, South Korea, and other Southeast Asian countries and regions. Its products are used in new energy power generation, electric vehicles, hydrogen energy, power semiconductors, rail transportation, automotive electronics, intelligent manufacturing, electromechanical equipment, aerospace, and laboratory certification industr…
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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.