600599 Stock | | | 15.17 0.72 4.98% |
Panda Financial financial indicator trend analysis is much more than just breaking down Panda Financial Holding prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Panda Financial Holding is a good investment. Please check the relationship between Panda Financial Total Operating Expenses and its Ebitda accounts. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in Panda Financial Holding. 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.
Total Operating Expenses vs Ebitda
Total Operating Expenses vs Ebitda Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Panda Financial Holding Total Operating Expenses account and
Ebitda. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between Panda Financial's Total Operating Expenses and Ebitda is -0.03. Overlapping area represents the amount of variation of Total Operating Expenses that can explain the historical movement of Ebitda in the same time period over historical financial statements of Panda Financial Holding, assuming nothing else is changed. The correlation between historical values of Panda Financial's Total Operating Expenses and Ebitda is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Operating Expenses of Panda Financial Holding are associated (or correlated) with its Ebitda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ebitda has no effect on the direction of Total Operating Expenses i.e., Panda Financial's Total Operating Expenses and Ebitda go up and down completely randomly.
Correlation Coefficient | -0.03 |
Relationship Direction | Negative |
Relationship Strength | Insignificant |
Total Operating Expenses
The total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses.
Ebitda
Most indicators from Panda Financial's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Panda Financial Holding 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 Panda Financial Holding. 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 42.2
M, whereas
Tax Provision is forecasted to decline to about 15.9
M.
Panda Financial fundamental ratios Correlations
Click cells to compare fundamentals
Panda Financial Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Panda Financial fundamental ratios Accounts
Currently Active Assets on Macroaxis
Other Information on Investing in Panda Stock
Balance Sheet is a snapshot of the
financial position of Panda Financial Holding at a specified time, usually calculated after every quarter, six months, or one year. Panda Financial Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Panda Financial 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 Panda currently owns. An asset can also be divided into two categories, current and non-current.