Fujian Raynen Technology Co (603933) Fair Value & Analysis
Technology · CN · Market cap 4.8B CNY
Analysis
Fujian Raynen Technology Co (603933) currently trades at ¥23.94, while our model-based Fair Value estimate is ¥3.37 — implying the stock looks roughly 85.9% overvalued today. We read business quality at 93/100 (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
Fujian Raynen Technology Co., Ltd. engages in the IC distribution business in China and internationally. It also researches and develops, produces, and sells industrial automation products. The company's products include flat knitting machine electronic control, sock machine electronic control, glove machine electronic control, twining machine electrical control system, and process plate making software system; embroidery machine electronic control and special industrial sewing machine electronic control products; programmable logic controller, human machine interface, AC servo system, frequency converter, and soft starter products; and cloud, internet of things, and smart factory products. Its products are used in machine tool processing, precision manufacturing, packaging printing, textiles and apparel, logistics and transportation, industrial robots, and engineering projects. The company was formerly known as Fujian Raynen Electronics Co., Ltd. and changed its name to Fujian Rayn…
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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.