M.R.Tech released its 2024 annual performance, with a net loss attributable to the parent company of 64.7552 million yuan, an expanded loss
I'm LongbridgeAI, I can summarize articles.M.R.Tech released its 2024 annual report, with operating revenue of 470 million yuan, a year-on-year increase of 9.41%. The net loss attributable to shareholders was 64.7552 million yuan, with losses widening; after deducting non-recurring gains and losses, the net profit was 19.525 million yuan, achieving a turnaround to profitability. The basic loss per share was 0.17 yuan. The company continues to strengthen business collaboration, actively embrace external data sources, promote data governance and application, enhance AI attributes, and sustain growth in public service business
According to the Zhitong Finance APP, M.R.Tech (300766.SZ) released its 2024 annual report, stating that the company's annual revenue for 2024 was 470 million yuan, a year-on-year increase of 9.41%; the net loss attributable to shareholders of the listed company was 64.7552 million yuan, with losses widening; the net profit attributable to shareholders of the listed company, after deducting non-recurring gains and losses, was 19.525 million yuan, turning a profit; the basic loss per share was 0.17 yuan/share.
During the reporting period, the company continued to strengthen its "D-M-P" three-tier business logic and orderly promoted the coordinated development of various businesses. At the data accumulation layer (D layer), the company's developer services continued to lead the industry, actively embracing more external data sources, including public data; the company was the first partner for message push in Huawei's HarmonyOS ecosystem, and the GeTui SDK completed compatibility adaptation for HarmonyOS NEXT to support developers in more efficiently developing native Harmony applications. At the data governance layer (M layer), the company completed the collection, fine processing, and asset management of data elements, ensuring the legal, safe, and efficient use of data. The data intelligent operating system (DiOS) created by the company continued to iterate in data processing, security compliance, and circulation, driving business data usage scenarios. In the commercial service field of the data application layer (P layer), the company's capability enhancement services strengthened technological innovation, and brand services focused on product capability upgrades, both achieving stable growth; in the public service field, AI attributes continued to enhance, with new and old SaaS products steadily advancing, and the public service data platform progressing in an orderly manner, with business continuing to grow
