601398 Stock | | | 6.13 0.01 0.16% |
Industrial financial indicator trend analysis is infinitely more than just investigating Industrial and Commercial recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Industrial and Commercial is a good investment. Please check the relationship between Industrial Short Term Debt and its Retained Earnings accounts. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in Industrial and Commercial. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in nation.
Short Term Debt vs Retained Earnings
Short Term Debt vs Retained Earnings Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Industrial and Commercial Short Term Debt account and
Retained Earnings. At this time, the significance of the direction appears to have weak relationship.
The correlation between Industrial's Short Term Debt and Retained Earnings is 0.33. Overlapping area represents the amount of variation of Short Term Debt that can explain the historical movement of Retained Earnings in the same time period over historical financial statements of Industrial and Commercial, assuming nothing else is changed. The correlation between historical values of Industrial's Short Term Debt and Retained Earnings is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Short Term Debt of Industrial and Commercial are associated (or correlated) with its Retained Earnings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Retained Earnings has no effect on the direction of Short Term Debt i.e., Industrial's Short Term Debt and Retained Earnings go up and down completely randomly.
Correlation Coefficient | 0.33 |
Relationship Direction | Positive |
Relationship Strength | Very Weak |
Short Term Debt
Retained Earnings
The cumulative amount of net income that a company retains for reinvestment in its operations, rather than distributing it to shareholders as dividends.
Most indicators from Industrial's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Industrial and Commercial current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in Industrial and Commercial. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in nation.
The current year's
Selling General Administrative is expected to grow to about 146.5
B. The current year's
Tax Provision is expected to grow to about 58.1
BIndustrial fundamental ratios Correlations
Click cells to compare fundamentals
Industrial Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Industrial fundamental ratios Accounts
Currently Active Assets on Macroaxis
Other Information on Investing in Industrial Stock
Balance Sheet is a snapshot of the
financial position of Industrial and Commercial at a specified time, usually calculated after every quarter, six months, or one year. Industrial Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Industrial and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Industrial currently owns. An asset can also be divided into two categories, current and non-current.