Exchange Operating Income from 2010 to 2026
| EIF Stock | CAD 88.71 0.70 0.80% |
Operating Income | First Reported 2003-03-31 | Previous Quarter 89.5 M | Current Value 127.1 M | Quarterly Volatility 28.6 M |
Check Exchange Income financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Exchange Income's main balance sheet or income statement drivers, such as Depreciation And Amortization of 374.8 M, Interest Expense of 166.5 M or Selling General Administrative of 410.7 M, as well as many indicators such as Price To Sales Ratio of 0.66, Dividend Yield of 0.0848 or PTB Ratio of 1.38. Exchange financial statements analysis is a perfect complement when working with Exchange Income Valuation or Volatility modules.
Exchange | Operating Income |
Latest Exchange Income's Operating Income Growth Pattern
Below is the plot of the Operating Income of Exchange Income over the last few years. Operating Income is the amount of profit realized from Exchange Income operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Exchange Income is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Exchange Income's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Exchange Income's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Exchange Operating Income Regression Statistics
| Arithmetic Mean | 157,587,930 | |
| Coefficient Of Variation | 76.00 | |
| Mean Deviation | 96,096,816 | |
| Median | 129,745,000 | |
| Standard Deviation | 119,767,212 | |
| Sample Variance | 14344.2T | |
| Range | 383.6M | |
| R-Value | 0.94 | |
| Mean Square Error | 1749.4T | |
| R-Squared | 0.89 | |
| Slope | 22,320,450 | |
| Total Sum of Squares | 229507T |
Exchange Operating Income History
About Exchange Income Financial Statements
Exchange Income investors utilize fundamental indicators, such as Operating Income, to predict how Exchange Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Operating Income | 365.3 M | 383.6 M |
Pair Trading with Exchange Income
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Exchange Income position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Exchange Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Exchange Stock
Moving against Exchange Stock
The ability to find closely correlated positions to Exchange Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exchange Income when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Exchange Income - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Exchange Income to buy it.
The correlation of Exchange Income is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Exchange Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exchange Income moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Exchange Income can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Exchange Stock
Exchange Income financial ratios help investors to determine whether Exchange Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Exchange with respect to the benefits of owning Exchange Income security.