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数据资产入表加速背后:有上市公司临时撤回计划,需警惕“账面优化”风险
Mei Ri Jing Ji Xin Wen· 2025-07-04 14:02
Core Viewpoint - In the digital economy era, data is transforming from an intangible resource into a measurable, tradable, and manageable asset, becoming a new member of corporate balance sheets [1] Group 1: Data Asset Integration - Over 90 listed companies have integrated data assets into their 2024 annual reports, with a total scale of 2.495 billion yuan, compared to only 0.079 billion yuan from 17 companies in the first quarter of 2024 [1] - The integration of data assets into financial statements is reshaping the balance sheets of listed companies, with significant representation from the industrial and information technology sectors [2] - The first companies to integrate data assets include major telecom operators like China Mobile, China Telecom, and China Unicom, along with industrial firms such as Xiaoshangpin City, YTO Express, and Yunda Holdings [3] Group 2: Steps for Data Asset Integration - The process for a company to integrate data assets into its financial statements typically involves four steps: inventory of data assets, governance of data for integration, confirmation of data ownership, and measurement for accounting [4][5] - Companies must meet specific conditions for data asset integration, including legal control, predictable economic benefits exceeding 50%, and measurable costs [5][6] Group 3: Challenges and Considerations - Not all companies can smoothly integrate data assets due to policy restrictions, corporate concerns, and the current lack of a valuation system [1][10] - Common challenges include legal risks in data ownership, unclear data management processes, and discrepancies between expected and actual valuations [10][11] - The integration of data assets is not the end point but a starting point for value reconstruction, requiring clear data ownership and valuation systems to gain recognition from financial institutions [14] Group 4: Financial Implications - Integrating data assets can enhance a company's financial statements by capitalizing expenses, which may lead to increased short-term profits but could result in profit fluctuations in the long term due to amortization [12][13] - The potential for data asset depreciation and the subjective nature of data valuation can introduce uncertainties in financial reporting [17][18]