Fortis Operating Income from 2010 to 2026
| FTS Stock | CAD 72.19 0.10 0.14% |
Operating Income | First Reported 1997-03-31 | Previous Quarter 800 M | Current Value 625.4 M | Quarterly Volatility 283.9 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 | Operating Income |
Latest Fortis' Operating Income Growth Pattern
Below is the plot of the Operating Income of Fortis Inc over the last few years. Operating Income is the amount of profit realized from Fortis Inc 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 Fortis Inc 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. Fortis' Operating Income 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.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Fortis Operating Income Regression Statistics
| Arithmetic Mean | 2,129,289,647 | |
| Geometric Mean | 1,648,800,913 | |
| Coefficient Of Variation | 54.58 | |
| Mean Deviation | 995,763,945 | |
| Median | 2,469,000,000 | |
| Standard Deviation | 1,162,222,244 | |
| Sample Variance | 1350760.5T | |
| Range | 3.9B | |
| R-Value | 0.97 | |
| Mean Square Error | 90350.7T | |
| R-Squared | 0.94 | |
| Slope | 222,821,196 | |
| Total Sum of Squares | 21612168.7T |
Fortis Operating Income History
About Fortis Financial Statements
Fortis investors utilize fundamental indicators, such as Operating Income, 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 | ||
| Operating Income | 3.8 B | 4 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.Moving against Fortis Stock
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.