Power Net Income from 2010 to 2026
| POW Stock | CAD 71.44 0.07 0.1% |
Net Income | First Reported 1994-06-30 | Previous Quarter 785 M | Current Value 716 M | Quarterly Volatility 233.7 M |
Check Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Power's main balance sheet or income statement drivers, such as Depreciation And Amortization of 1 B, Interest Expense of 949.1 M or Selling General Administrative of 13.5 B, as well as many indicators such as Price To Sales Ratio of 1.06, Dividend Yield of 0.0652 or PTB Ratio of 1.76. Power financial statements analysis is a perfect complement when working with Power Valuation or Volatility modules.
Power | Net Income |
Latest Power's Net Income Growth Pattern
Below is the plot of the Net Income of Power over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Power financial statement analysis. It represents the amount of money remaining after all of Power operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Power's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Power's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported 5.37 B | 10 Years Trend |
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Net Income |
| Timeline |
Power Net Income Regression Statistics
| Arithmetic Mean | 1,775,906,618 | |
| Geometric Mean | 1,481,563,370 | |
| Coefficient Of Variation | 51.62 | |
| Mean Deviation | 767,524,654 | |
| Median | 1,339,000,000 | |
| Standard Deviation | 916,796,346 | |
| Sample Variance | 840515.5T | |
| Range | 3.2B | |
| R-Value | 0.90 | |
| Mean Square Error | 165922T | |
| R-Squared | 0.81 | |
| Slope | 163,894,240 | |
| Total Sum of Squares | 13448248.6T |
Power Net Income History
About Power Financial Statements
Power investors utilize fundamental indicators, such as Net Income, to predict how Power 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 | 6.2 B | 6.5 B | |
| Net Income From Continuing Ops | 5.3 B | 4 B | |
| Net Income Applicable To Common Shares | 3.2 B | 1.9 B | |
| Net Income Per Share | 3.88 | 4.08 | |
| Net Income Per E B T | 0.45 | 0.31 |
Pair Trading with Power
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 Power 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 Power will appreciate offsetting losses from the drop in the long position's value.Moving against Power Stock
The ability to find closely correlated positions to Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Power 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 Power - 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 Power to buy it.
The correlation of Power 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 Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Power 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 Power 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 Power Stock
Power financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power security.