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According to Yushu Technology's announcement, the cumulative deviation value of the closing price increase of the company's shares exceeded 30% for three consecutive trading days, which is an abnormal fluctuation in stock trading. As of October 26, 2026, the company's rolling price-earnings ratio was 465.22 times, significantly higher than the average rolling price-earnings ratio of 38.54 times in the general equipment manufacturing industry. The humanoid robot industry is still in the early stages of commercialization, and there are uncertainties about technological maturity, downstream market demand cultivation, and industrial chain support capabilities. At the same time, physical AI technology still faces multiple challenges from laboratory demonstrations to large-scale implementation in real scenarios, such as perception accuracy, motion control stability, data accumulation, and software/hardware collaboration. The maturity of related technology paths and business models will take time to verify. If large-scale commercialization of the industry falls short of expectations, the company's future revenue expansion and performance release may be adversely affected, and there is an investment risk that valuation will return.

Zhitongcaijing·10/26/2026 10:17:09
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Yushu Technology announced that the cumulative deviation value of the company's stock closing price increase for three consecutive trading days exceeded 30%, which is an abnormal fluctuation in stock trading. As of October 26, 2026, the company's rolling price-earnings ratio was 465.22 times, significantly higher than the average rolling price-earnings ratio of 38.54 times in the general equipment manufacturing industry. The humanoid robot industry is still in the early stages of commercialization, and there are uncertainties about technological maturity, downstream market demand cultivation, and industrial chain support capabilities. At the same time, physical AI technology still faces multiple challenges from laboratory demonstrations to large-scale implementation in real scenarios, such as perception accuracy, motion control stability, data accumulation, and software/hardware collaboration. The maturity of related technology paths and business models will take time to verify. If large-scale commercialization of the industry falls short of expectations, the company's future revenue expansion and performance release may be adversely affected, and there is an investment risk that valuation will return.