Exchange Income Stock Net Income
| EIF Stock | CAD 56.79 0.17 0.30% |
Exchange Income fundamentals help investors to digest information that contributes to Exchange Income's financial success or failures. It also enables traders to predict the movement of Exchange Stock. The fundamental analysis module provides a way to measure Exchange Income's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Exchange Income stock.
| Last Reported | Projected for Next Year | ||
| Net Income | 122.3 M | 128.4 M | |
| Net Income From Continuing Ops | 122.3 M | 65.6 M | |
| Net Income Applicable To Common Shares | 126.1 M | 132.4 M | |
| Net Income Per Share | 2.65 | 2.78 | |
| Net Income Per E B T | 0.75 | 0.87 |
Exchange | Net Income |
Exchange Income Company Net Income Analysis
Exchange Income's Net income is the profit of a company for the reporting period, which is derived after taking revenues and gains and subtracting all expenses and losses. Net income is one of the most-watched numbers by money managers as well as individual investors.
Current Exchange Income Net Income | 122.31 M |
Most of Exchange Income's fundamental indicators, such as Net Income, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Exchange Income is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Exchange Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Exchange Income is extremely important. It helps to project a fair market value of Exchange Stock properly, considering its historical fundamentals such as Net Income. Since Exchange Income's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Exchange Income's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Exchange Income's interrelated accounts and indicators.
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Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Exchange Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Exchange Income reported net income of 122.31 M. This is 52.86% lower than that of the Passenger Airlines sector and 86.47% lower than that of the Industrials industry. The net income for all Canada stocks is 78.58% higher than that of the company.
Exchange Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Exchange Income's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Exchange Income could also be used in its relative valuation, which is a method of valuing Exchange Income by comparing valuation metrics of similar companies.Exchange Income is currently under evaluation in net income category among its peers.
Exchange Income Current Valuation Drivers
We derive many important indicators used in calculating different scores of Exchange Income from analyzing Exchange Income's financial statements. These drivers represent accounts that assess Exchange Income's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Exchange Income's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 1.7B | 1.3B | 1.6B | 2.5B | 2.1B | 2.2B | |
| Enterprise Value | 2.8B | 2.4B | 2.8B | 4.1B | 4.0B | 4.2B |
Exchange Fundamentals
| Return On Equity | 0.0968 | ||||
| Return On Asset | 0.0462 | ||||
| Profit Margin | 0.05 % | ||||
| Operating Margin | 0.16 % | ||||
| Current Valuation | 4.87 B | ||||
| Shares Outstanding | 47.63 M | ||||
| Shares Owned By Insiders | 6.36 % | ||||
| Shares Owned By Institutions | 11.55 % | ||||
| Number Of Shares Shorted | 2.18 M | ||||
| Price To Earning | 21.72 X | ||||
| Price To Book | 2.13 X | ||||
| Price To Sales | 1.03 X | ||||
| Revenue | 2.5 B | ||||
| Gross Profit | 711.05 M | ||||
| EBITDA | 548.71 M | ||||
| Net Income | 122.31 M | ||||
| Cash And Equivalents | 139.9 M | ||||
| Cash Per Share | 1.89 X | ||||
| Total Debt | 2.01 B | ||||
| Debt To Equity | 1.73 % | ||||
| Current Ratio | 2.28 X | ||||
| Book Value Per Share | 26.73 X | ||||
| Cash Flow From Operations | 353.23 M | ||||
| Short Ratio | 21.52 X | ||||
| Earnings Per Share | 2.53 X | ||||
| Price To Earnings To Growth | 1.54 X | ||||
| Target Price | 69.0 | ||||
| Beta | 2.03 | ||||
| Market Capitalization | 2.71 B | ||||
| Total Asset | 4.08 B | ||||
| Retained Earnings | (100.31 M) | ||||
| Working Capital | 540.72 M | ||||
| Current Asset | 394.07 M | ||||
| Current Liabilities | 182.55 M | ||||
| Annual Yield | 0.05 % | ||||
| Five Year Return | 6.44 % | ||||
| Net Asset | 4.08 B | ||||
| Last Dividend Paid | 2.63 |
About Exchange Income Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Exchange Income's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Exchange Income using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Exchange Income based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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
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.