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As of Oct. 30, all 354 Beijing Stock Exchange-listed companies had filed 2026 Q3 reports. Average first-nine-month operating revenue was 632 mln yuan, up 15.30% YoY; average net profit attributable to parent was 47.68 mln yuan, up 2.27% YoY. 288 firm

2026-11-02

As of Oct. 30, all 354 Beijing Stock Exchange-listed companies had filed 2026 Q3 reports. Average first-nine-month operating revenue was 632 mln yuan, up 15.30% YoY; average net profit attributable to parent was 47.68 mln yuan, up 2.27% YoY. 288 firms were profitable (81.36%). 246 firms (69.49%) reported YoY revenue growth; 51 firms reported revenue above 1 bln yuan. 162 firms (45.76%) reported YoY net profit growth; 41 firms reported net profit above 100 mln yuan.

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2026-11-02

A-share MLCC concept stocks fluctuated and rose, with Huaci Co., Ltd. hitting the daily limit, and Sidike, Yunzhong Technology, Shuangxing New Material and Fenghua Advanced Technology following suit.

A-share MLCC concept stocks fluctuated and rose, with Huaci Co., Ltd. hitting the daily limit, and Sidike, Yunzhong Technology, Shuangxing New Material and Fenghua Advanced Technology following suit.
2026-11-02

On Oct. 28 the National Data Administration convened a meeting of industry high-quality dataset chain-master units, instructing them to map artificial intelligence data needs and accelerate dataset development. Chain-master units were told to base wo

On Oct. 28 the National Data Administration convened a meeting of industry high-quality dataset chain-master units, instructing them to map artificial intelligence data needs and accelerate dataset development. Chain-master units were told to base work on their own needs, proactively identify upstream and downstream external demand, and follow a demand-led approach for precise dataset construction. They were directed to pilot benefit-sharing and commercial-return mechanisms, compile industry data maps, promote distributed aggregation of industry data and register datasets with the national dataset management service system. The administration also ordered establishment of application-driven data feedback loops to enable data return and iterative optimization, continuous user feedback and dynamic dataset updates, and stronger industry-chain coordination to broaden cooperation and build ecosystem capacity.
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