Exchange Ebit from 2010 to 2026

EIF Stock  CAD 95.00  1.07  1.11%   
Exchange Income EBIT yearly trend continues to be very stable with very little volatility. EBIT is likely to grow to about 369.3 M this year. During the period from 2010 to 2026, Exchange Income EBIT quarterly data regression pattern had range of 369.3 M and standard deviation of  115,941,774. View All Fundamentals
 
EBIT  
First Reported
2003-03-31
Previous Quarter
86.8 M
Current Value
124.8 M
Quarterly Volatility
27.8 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
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.
  
This module can also supplement various Exchange Income Technical models . Check out the analysis of Exchange Income Correlation against competitors.
Evaluating Exchange Income's Ebit across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Exchange Income's fundamental strength.

Latest Exchange Income's Ebit Growth Pattern

Below is the plot of the Ebit of Exchange Income over the last few years. It is Exchange Income's EBIT 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.
Ebit10 Years Trend
Slightly volatile
   Ebit   
       Timeline  

Exchange Ebit Regression Statistics

Arithmetic Mean152,413,287
Coefficient Of Variation76.07
Mean Deviation92,885,631
Median132,289,000
Standard Deviation115,941,774
Sample Variance13442.5T
Range369.3M
R-Value0.94
Mean Square Error1662.4T
R-Squared0.88
Slope21,587,938
Total Sum of Squares215079.9T

Exchange Ebit History

2026369.3 M
2025351.7 M
2024305.8 M
2023282.9 M
2022229.9 M
2021146.5 M
202093.9 M

About Exchange Income Financial Statements

Exchange Income investors utilize fundamental indicators, such as Ebit, 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 ReportedProjected for Next Year
EBIT351.7 M369.3 M
EBITDA708.7 M744.1 M
Ebt Per Ebit 0.61  0.65 
Ebit Per Revenue 0.11  0.08 

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

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Moving against Exchange Stock

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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.
Pair CorrelationCorrelation Matching

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.