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Qingyun Technology (688316.SH): Jiaxing Blue Chi and Tianjin Blue Chi plan to reduce their shareholding by no more than 1.5% in total.
On June 6th, Gelonhui reported that Qinyun Technology (688316.SH) received a notice from shareholders Jiaxing Blue Pool and Tianjin Blue Pool about their plan to reduce their holdings of Qinyun Technology's stocks. According to their own business development plans, Jiaxing Blue Pool and Tianjin Blue Pool plan to reduce their total holdings of the company's shares by no more than 716,788 shares, or no more than 1.5% of the total equity, through centralized bidding and bulk trading methods. Specifically, they plan to reduce no more than 477,859 shares, or no more than 1.00% of the total equity, through centralized bidding, effective from the date the notice of share reduction plan is disclosed.
Qingyun Technology (688316.SH) announced its 2023 annual results with a net loss of 170 million yuan
According to Zhitong Finance App News, Qingyun Technology (688316.SH) disclosed its 2023 annual report. The company achieved revenue of 336 million yuan in 2023, an increase of 10.07%; net profit loss to mother of 170 million yuan, a year-on-year narrowing year-on-year decrease; loss after deducting non-net profit of 173 million yuan, a year-on-year narrowing; and basic earnings per share - 3.57 yuan.
QingCloud Technologies Corp.'s (SHSE:688316) 30% Share Price Plunge Could Signal Some Risk
QingCloud Technologies Corp.'s (SHSE:688316) 26% Share Price Plunge Could Signal Some Risk
Qingyun Technology (688316.SH) issued a forecast loss and is expected to have a net loss of 156 million yuan in 2023
Qingyun Technology (688316.SH) released its 2023 performance forecast, and the company expects to return in 2023...
Qingyun Technology (688316.SH): Technical and commercial cooperation with leading AI vendors in the industry, including Zhipu Qingyan and Shang Tang
Gelonghui, January 18 | Qingyun Technology (688316.SH) said on the interactive platform that AI intelligent computing services require not only computing power, models, but also data processing and scenario applications. Multiple layers of technology work together to build complete service capabilities. To this end, Qingyun Technology relies on AI computing power and AI computing power scheduling capabilities, and is committed to building an AI intelligent computing ecosystem, and has carried out technical and commercial cooperation with leading AI manufacturers in the industry, including Zhipu Qingyan and Shang Tang, to provide customers with an end-to-end overall solution to meet their business needs.
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