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Description
The document focuses on the automotive industry and integrates the financial data of 22 companies from 2019 to 2023 to provide a basis for industry analysis. 1. Data source: The data comes from multiple websites, such https://builtin.com/articles/electric-car-companies ashttps://marketchameleon.com等 , Covering multi-channel information to ensure data richness and reliability. 2. Corporate information: It contains 22 automobile companies, involving companies from the United States, China, Japan, Sweden, Germany, Ireland and other countries. There are many types of companies, including emerging companies focusing on electric vehicles, as well as traditional automobile giants. 3. Financial indicator data ◦ Tax burden coefficient (TB): The TB value of each enterprise fluctuates between 0-0.9884, reflecting the difference in the degree of tax impact on corporate profitability. ◦Debt burden coefficient (IB): The IB value range is 0-0.8984, which reflects the degree of corporate debt pressure. EB EBIT sales profit margin (ROS): The value of ROS fluctuates greatly, ranging from -39.02 to 24.22, indicating the level of sales profitability of the company based on EBIT. ◦ Total asset turnover rate (TAT): The TAT value is in the range of 0-0.9935, which measures the efficiency of enterprise asset operations. ◦Equity multiplier (EM): The EM value fluctuates from 0-1.9979, reflecting the degree of financial leverage utilization of the enterprise. ◦Return on net assets (ROE): The ROE value is -35.04 to 18.54, which is used to assess the profitability of an enterprise using its own capital. 4. Descriptive statistics: The mean, standard error, median, majority and other statistical values of each indicator are calculated.For example, Nikola Motor Company's TB mean is 0.6893 and the standard error is 0.0158, which reflects the trend and degree of dispersion of data concentration and provides a reference for analyzing corporate financial performance.