Stingray Net Income Applicable To Common Shares from 2010 to 2026

RAY-A Stock  CAD 14.47  0.01  0.07%   
Stingray Net Income Applicable To Common Shares yearly trend continues to be comparatively stable with very little volatility. Net Income Applicable To Common Shares will likely drop to about 18.9 M in 2026. Net Income Applicable To Common Shares is the net income that remains after preferred dividends have been deducted, available to common shareholders. View All Fundamentals
 
Net Income Applicable To Common Shares  
First Reported
2018-06-30
Previous Quarter
4.4 M
Current Value
14.1 M
Quarterly Volatility
7.8 M
 
Covid
Check Stingray financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Stingray's main balance sheet or income statement drivers, such as Depreciation And Amortization of 27.7 M, Selling General Administrative of 7.2 M or Selling And Marketing Expenses of 10.4 M, as well as many indicators such as Price To Sales Ratio of 3.15, Dividend Yield of 0.0506 or PTB Ratio of 2.17. Stingray financial statements analysis is a perfect complement when working with Stingray Valuation or Volatility modules.
  
This module can also supplement various Stingray Technical models . Check out the analysis of Stingray Correlation against competitors.

Latest Stingray's Net Income Applicable To Common Shares Growth Pattern

Below is the plot of the Net Income Applicable To Common Shares of Stingray Group over the last few years. It is the net income that remains after preferred dividends have been deducted, available to common shareholders. Stingray's Net Income Applicable To Common Shares historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Stingray's overall financial position and show how it may be relating to other accounts over time.
Net Income Applicable To Common Shares10 Years Trend
Slightly volatile
   Net Income Applicable To Common Shares   
       Timeline  

Stingray Net Income Applicable To Common Shares Regression Statistics

Arithmetic Mean18,856,260
Coefficient Of Variation72.51
Mean Deviation10,621,365
Median13,881,000
Standard Deviation13,672,553
Sample Variance186.9T
Range57.1M
R-Value0.51
Mean Square Error146.8T
R-Squared0.26
Significance0.03
Slope1,391,185
Total Sum of Squares2991T

Stingray Net Income Applicable To Common Shares History

202618.9 M
202534.6 M
202230.1 M
202133.3 M
202045.1 M
201914 M
2018-12 M

About Stingray Financial Statements

Stingray shareholders use historical fundamental indicators, such as Net Income Applicable To Common Shares, to determine how well the company is positioned to perform in the future. Although Stingray investors may analyze each financial statement separately, they are all interrelated. The changes in Stingray's assets and liabilities, for example, are also reflected in the revenues and expenses on on Stingray's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Income Applicable To Common Shares34.6 M18.9 M

Pair Trading with Stingray

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 Stingray 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 Stingray will appreciate offsetting losses from the drop in the long position's value.

Moving together with Stingray Stock

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The ability to find closely correlated positions to Stingray could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Stingray 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 Stingray - 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 Stingray Group to buy it.
The correlation of Stingray 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 Stingray moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Stingray Group 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 Stingray 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

Additional Tools for Stingray Stock Analysis

When running Stingray's price analysis, check to measure Stingray's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Stingray is operating at the current time. Most of Stingray's value examination focuses on studying past and present price action to predict the probability of Stingray's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stingray's price. Additionally, you may evaluate how the addition of Stingray to your portfolios can decrease your overall portfolio volatility.