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2024 Annual Report
Summary of the 2024 Annual Report
Chongqing Sanfeng Environment Group Corp.'s revenue growth rate has declined for three consecutive years, intensifying efforts to expand overseas to seek new growth points | Interpretations
①Since its listing, Chongqing Sanfeng Environment Group Corp. has experienced its first revenue decline, and its revenue growth rate has fallen for three consecutive years; ②The company is ramping up efforts to expand into overseas markets, which could become a support for future performance growth.
Chongqing Sanfeng Environment Group Corp. (601827.SH) released its 2024 annual performance, with a net income of 1.168 billion yuan, a year-on-year increase of 0.2%.
Chongqing Sanfeng Environment Group Corp. (601827.SH) disclosed its 2024 annual report, achieving revenue of 59.91...
Chongqing Sanfeng Environment Group Corp. (601827.SH): Net income for 2024 is 1.168 billion yuan, an increase of 0.20% year-on-year.
Glory of Asia reported on March 28 that Chongqing Sanfeng Environment Group Corp. (601827.SH) announced its annual report for 2024, achieving revenue of 5.991 billion yuan during the reporting period, a year-on-year decrease of 0.59%; Net income attributable to shareholders of the listed company was 1.168 billion yuan, a year-on-year increase of 0.20%; EPS was 0.7 yuan. It is proposed to distribute 2.45 yuan (including tax) to all shareholders for every 10 shares.
Chongqing Sanfeng Environment Group Corp. (601827.SH): Has successfully implemented AI smart incineration in its waste incineration project.
On March 19, Gelonghui reported that Chongqing Sanfeng Environment Group Corp. (601827.SH) stated on the interactive platform that the company has not yet deployed DeepSeek locally. So far, the company mainly relies on its partnership with Alibaba, utilizing Alibaba Cloud's industrial brain to achieve AI-assisted control of waste incineration. By the end of last year, the company successfully implemented AI intelligent incineration in its waste incineration projects, effectively improving the production operation efficiency of relevant projects and reducing energy consumption indicators such as the plant's electricity usage rate. The company will continue to explore the integration of general large models with its business, striving to promote the close integration of Big Data, AI, and the company's industrial production.