Fortis Net Income Applicable To Common Shares from 2010 to 2026
| FTS Stock | CAD 72.91 0.41 0.57% |
Net Income Applicable To Common Shares | First Reported 2016-12-31 | Previous Quarter 384 M | Current Value 409 M | Quarterly Volatility 100.4 M |
Check Fortis financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Fortis' main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.3 B, Interest Expense of 1.7 B or Total Revenue of 13.9 B, as well as many indicators such as Price To Sales Ratio of 1.32, Dividend Yield of 0.0396 or PTB Ratio of 1.43. Fortis financial statements analysis is a perfect complement when working with Fortis Valuation or Volatility modules.
Fortis | Net Income Applicable To Common Shares |
Latest Fortis' Net Income Applicable To Common Shares Growth Pattern
Below is the plot of the Net Income Applicable To Common Shares of Fortis Inc over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Fortis' Net Income Applicable To Common Shares historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Fortis' overall financial position and show how it may be relating to other accounts over time.
| Net Income Applicable To Common Shares | 10 Years Trend |
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Net Income Applicable To Common Shares |
| Timeline |
Fortis Net Income Applicable To Common Shares Regression Statistics
| Arithmetic Mean | 978,961,274 | |
| Geometric Mean | 824,339,941 | |
| Coefficient Of Variation | 53.51 | |
| Mean Deviation | 450,198,847 | |
| Median | 1,100,000,000 | |
| Standard Deviation | 523,808,247 | |
| Sample Variance | 274375.1T | |
| Range | 1.5B | |
| R-Value | 0.89 | |
| Mean Square Error | 61109T | |
| R-Squared | 0.79 | |
| Slope | 92,266,748 | |
| Total Sum of Squares | 4390001.3T |
Fortis Net Income Applicable To Common Shares History
About Fortis Financial Statements
Fortis investors utilize fundamental indicators, such as Net Income Applicable To Common Shares, to predict how Fortis 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 | ||
| Net Income Applicable To Common Shares | 1.8 B | 1.2 B |
Pair Trading with Fortis
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 Fortis 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 Fortis will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Fortis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortis 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 Fortis - 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 Fortis Inc to buy it.
The correlation of Fortis 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 Fortis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortis Inc 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 Fortis 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.Check out the analysis of Fortis Correlation against competitors. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.