Shandong Shuangyi Technology Co (300690) Fair Value & Analysis
Industrials · CN · Market cap 4.1B CNY
Analysis
Shandong Shuangyi Technology Co (300690) currently trades at ¥24.16, while our model-based Fair Value estimate is ¥15.91 — implying the stock looks roughly 34.1% overvalued today. We read business quality at 95/100 (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: high).
About the company
Shandong Shuangyi Technology Co., Ltd. engages in the research, development, design manufacture, sale, and service of integrating composite products in China and internationally. The company offers non-metallic mold machining products, including yacht mold, entertainment mold, fiberglass molds for DCPD, windpipe sail mold, mold for lightweight components, vehicle hood mold, carbon felt mold, engineering vehicle component mold, and lightweight composite components for vehicles; and entertainment equipment products, such as training simulator, ferris wheel, and 3D printed peek-CF composite intake manifold. It also provides lightweight vehicle components, such as SMC truck bumper, LFI engineering vehicle roof, battery pack covers, front cover of construction vehicles, engineering vehicle engine hood, front components of engineering vehicles, engineering vehicle engine hood, and vehicle parts; wind power parts; and other composite material products, that includes carbon fiber aircraft l…
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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.