SBICARD Stock | | | 675.30 3.90 0.57% |
SBI Cards financial indicator trend analysis is much more than just breaking down SBI Cards prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether SBI Cards is a good investment. Please check the relationship between SBI Cards Change In Working Capital and its Net Borrowings accounts. Check out
World Market Map to better understand how to build diversified portfolios, which includes a position in SBI Cards and. 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.
Change In Working Capital vs Net Borrowings
Change In Working Capital vs Net Borrowings Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
SBI Cards Change In Working Capital account and
Net Borrowings. At this time, the significance of the direction appears to have pay attention.
The correlation between SBI Cards' Change In Working Capital and Net Borrowings is -0.8. Overlapping area represents the amount of variation of Change In Working Capital that can explain the historical movement of Net Borrowings in the same time period over historical financial statements of SBI Cards and, assuming nothing else is changed. The correlation between historical values of SBI Cards' Change In Working Capital and Net Borrowings is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Change In Working Capital of SBI Cards and are associated (or correlated) with its Net Borrowings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Borrowings has no effect on the direction of Change In Working Capital i.e., SBI Cards' Change In Working Capital and Net Borrowings go up and down completely randomly.
Correlation Coefficient | -0.8 |
Relationship Direction | Negative |
Relationship Strength | Significant |
Change In Working Capital
The difference in the amount of working capital from one period to the next, indicating the change in a company's short-term assets and liabilities.
Net Borrowings
The difference between the amount of new debt a company has taken on and the amount of debt it has paid off during a given period.
Most indicators from SBI Cards' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into SBI Cards 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
World Market Map to better understand how to build diversified portfolios, which includes a position in SBI Cards and. 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 8.5
B, whereas
Tax Provision is forecasted to decline to about 5.4
B.
SBI Cards fundamental ratios Correlations
Click cells to compare fundamentals
SBI Cards Account Relationship Matchups
High Positive Relationship
High Negative Relationship
SBI Cards fundamental ratios Accounts
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Other Information on Investing in SBI Stock
Balance Sheet is a snapshot of the
financial position of SBI Cards at a specified time, usually calculated after every quarter, six months, or one year. SBI Cards Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of SBI Cards 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 SBI currently owns. An asset can also be divided into two categories, current and non-current.