China Total Assets from 2010 to 2024
CAAS Stock | USD 4.35 0.01 0.23% |
Total Assets | First Reported 2001-09-30 | Previous Quarter 770.7 M | Current Value 829 M | Quarterly Volatility 257.3 M |
Check China Automotive financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among China Automotive's main balance sheet or income statement drivers, such as Interest Expense of 2 M, Other Operating Expenses of 305.6 M or Operating Income of 20.5 M, as well as many indicators such as Price To Sales Ratio of 0.16, Dividend Yield of 5.0E-4 or PTB Ratio of 0.27. China financial statements analysis is a perfect complement when working with China Automotive Valuation or Volatility modules.
China | Total Assets |
Latest China Automotive's Total Assets Growth Pattern
Below is the plot of the Total Assets of China Automotive Systems over the last few years. Total assets refers to the total amount of China Automotive assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in China Automotive Systems books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. It is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. China Automotive's Total Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in China Automotive's overall financial position and show how it may be relating to other accounts over time.
View | Last Reported 766.44 M | 10 Years Trend |
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Total Assets |
Timeline |
China Total Assets Regression Statistics
Arithmetic Mean | 589,063,789 | |
Geometric Mean | 290,545,779 | |
Coefficient Of Variation | 32.05 | |
Mean Deviation | 126,781,748 | |
Median | 631,699,000 | |
Standard Deviation | 188,782,749 | |
Sample Variance | 35638.9T | |
Range | 766.4M | |
R-Value | 0.62 | |
Mean Square Error | 23813.6T | |
R-Squared | 0.38 | |
Significance | 0.01 | |
Slope | 26,006,041 | |
Total Sum of Squares | 498945T |
China Total Assets History
Other Fundumenentals of China Automotive Systems
China Automotive Total Assets component correlations
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About China Automotive Financial Statements
China Automotive shareholders use historical fundamental indicators, such as Total Assets, to determine how well the company is positioned to perform in the future. Although China Automotive investors may analyze each financial statement separately, they are all interrelated. The changes in China Automotive's assets and liabilities, for example, are also reflected in the revenues and expenses on on China Automotive's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last Reported | Projected for Next Year | ||
Total Assets | 766.4 M | 476.6 M | |
Intangibles To Total Assets | 0.02 | 0.02 |
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Additional Tools for China Stock Analysis
When running China Automotive's price analysis, check to measure China Automotive's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy China Automotive is operating at the current time. Most of China Automotive's value examination focuses on studying past and present price action to predict the probability of China Automotive's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Automotive's price. Additionally, you may evaluate how the addition of China Automotive to your portfolios can decrease your overall portfolio volatility.