Capital Ebitda from 2010 to 2026

CPX Stock  CAD 58.65  0.10  0.17%   
Capital Power EBITDA yearly trend continues to be very stable with very little volatility. EBITDA is likely to grow to about 1.9 B this year. During the period from 2010 to 2026, Capital Power EBITDA quarterly data regression pattern had sample variance of 271651.8 T and median of  738,000,000. View All Fundamentals
 
EBITDA  
First Reported
2010-03-31
Previous Quarter
11 M
Current Value
417 M
Quarterly Volatility
132.1 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Capital Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Capital Power's main balance sheet or income statement drivers, such as Depreciation And Amortization of 352.7 M, Interest Expense of 138.5 M or Total Revenue of 2.2 B, as well as many indicators such as Price To Sales Ratio of 2.63, Dividend Yield of 0.0372 or PTB Ratio of 0.85. Capital financial statements analysis is a perfect complement when working with Capital Power Valuation or Volatility modules.
  
This module can also supplement various Capital Power Technical models . Check out the analysis of Capital Power Correlation against competitors.
Evaluating Capital Power's Ebitda 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 Capital Power's fundamental strength.

Latest Capital Power's Ebitda Growth Pattern

Below is the plot of the Ebitda of Capital Power over the last few years. It is Capital Power's EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Capital Power's overall financial position and show how it may be relating to other accounts over time.
Ebitda10 Years Trend
Slightly volatile
   Ebitda   
       Timeline  

Capital Ebitda Regression Statistics

Arithmetic Mean870,950,562
Geometric Mean748,934,745
Coefficient Of Variation59.84
Mean Deviation405,212,905
Median738,000,000
Standard Deviation521,202,261
Sample Variance271651.8T
Range1.5B
R-Value0.84
Mean Square Error87172.4T
R-Squared0.70
Significance0.000029
Slope86,302,631
Total Sum of Squares4346428.7T

Capital Ebitda History

20261.9 B
20251.8 B
20241.6 B
20231.6 B
2022809 M
2021828 M
2020887 M

About Capital Power Financial Statements

Capital Power investors utilize fundamental indicators, such as Ebitda, to predict how Capital 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
EBITDA1.8 B1.9 B

Pair Trading with Capital 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 Capital 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 Capital Power will appreciate offsetting losses from the drop in the long position's value.

Moving against Capital Stock

  0.63RY Royal BankPairCorr
  0.61BNP BNP Paribas CDRPairCorr
  0.6TD Toronto Dominion BankPairCorr
  0.58HSTR Heliostar MetalsPairCorr
  0.56LIRC Lithium Royalty CorpPairCorr
The ability to find closely correlated positions to Capital 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 Capital 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 Capital 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 Capital Power to buy it.
The correlation of Capital 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 Capital Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Capital 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 Capital 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Capital Stock

Capital Power financial ratios help investors to determine whether Capital 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 Capital with respect to the benefits of owning Capital Power security.