Jiangsu Yoke Technology Co (002409) Fair Value & Analysis
Technology · CN · Market cap 54.7B CNY
Analysis
Jiangsu Yoke Technology Co (002409) currently trades at ¥165.18, while our model-based Fair Value estimate is ¥35.73 — implying the stock looks roughly 78.4% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Jiangsu Yoke Technology Co., Ltd. engages in the electronic materials, liquefied natural gas (LNG) thermal insulation board related, and flame-retardant businesses in China and internationally. The company provides electronic material products, including semiconductor precursor materials/spin-on-insulation dielectric (SOD), photoresist and supporting reagents, electronic special gases, silicon micropowder products, semiconductor material delivery system (LDS), etc. It is also involved in the production and sales of silica fillers for electronic packaging, and sulfur hexafluoride and tetrafluoromethane; sale of semiconductor materials, and general mechanical equipment and accessories; leasing of ship, mechanical, and electrical equipment; LNG pipeline engineering design, construction, technical consulting, development, and servicing activities; technology research and development, manufacturing, and sale of semiconductor devices, batteries, liquid crystal displays, and instruments; a…
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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.