Compass Net Income from 2010 to 2026

COMP Stock  USD 10.51  0.06  0.57%   
Compass Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to drop to about -145.9 M. During the period from 2010 to 2026, Compass Net Loss destribution of quarterly values had r-value of (0.53) from its regression line and median of (138,960,000). View All Fundamentals
 
Net Loss  
First Reported
2017-12-31
Previous Quarter
39.4 M
Current Value
-4.6 M
Quarterly Volatility
62.2 M
 
Covid
Check Compass financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Compass' main balance sheet or income statement drivers, such as Depreciation And Amortization of 53.7 M, Total Revenue of 3.7 B or Gross Profit of 664.1 M, as well as many indicators such as Price To Sales Ratio of 0.57, Dividend Yield of 0.0 or PTB Ratio of 6.77. Compass financial statements analysis is a perfect complement when working with Compass Valuation or Volatility modules.
  
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Check out the analysis of Compass Correlation against competitors.
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Latest Compass' Net Income Growth Pattern

Below is the plot of the Net Income of Compass over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Compass financial statement analysis. It represents the amount of money remaining after all of Compass operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Compass' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Compass' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (154.5 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Compass Net Income Regression Statistics

Arithmetic Mean(190,615,765)
Coefficient Of Variation(89.06)
Mean Deviation135,906,519
Median(138,960,000)
Standard Deviation169,761,988
Sample Variance28819.1T
Range539M
R-Value(0.53)
Mean Square Error22181.9T
R-Squared0.28
Significance0.03
Slope(17,738,441)
Total Sum of Squares461106.1T

Compass Net Income History

2026-145.9 M
2025-139 M
2024-154.4 M
2023-321.3 M
2022-601.5 M
2021-494.1 M
2020-270.2 M

Other Fundumenentals of Compass

Compass Net Income component correlations

About Compass Financial Statements

Compass shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Compass investors may analyze each financial statement separately, they are all interrelated. The changes in Compass' assets and liabilities, for example, are also reflected in the revenues and expenses on on Compass' 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 Loss-177.7 M-186.6 M
Net Loss-139.1 M-146 M
Net Loss-541.4 M-568.4 M
Net Loss(0.35)(0.37)
Net Income Per E B T 0.91  0.80 

Pair Trading with Compass

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

Moving together with Compass Stock

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Moving against Compass Stock

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  0.88DT Dynatrace Holdings LLCPairCorr
The ability to find closely correlated positions to Compass could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Compass 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 Compass - 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 Compass to buy it.
The correlation of Compass 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 Compass moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Compass 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 Compass 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 Compass Stock Analysis

When running Compass' price analysis, check to measure Compass' 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 Compass is operating at the current time. Most of Compass' value examination focuses on studying past and present price action to predict the probability of Compass' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Compass' price. Additionally, you may evaluate how the addition of Compass to your portfolios can decrease your overall portfolio volatility.