Forrester Pretax Profit Margin from 2010 to 2024

FORR Stock  USD 17.17  0.46  2.75%   
Forrester Research Pretax Profit Margin yearly trend continues to be relatively stable with very little volatility. Pretax Profit Margin is likely to drop to 0.01. During the period from 2010 to 2024, Forrester Research Pretax Profit Margin destribution of quarterly values had r-value of (0.78) from its regression line and median of  0.07. View All Fundamentals
 
Pretax Profit Margin  
First Reported
2010-12-31
Previous Quarter
0.01307253
Current Value
0.0124
Quarterly Volatility
0.04527045
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Forrester Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Forrester Research's main balance sheet or income statement drivers, such as Depreciation And Amortization of 16.7 M, Interest Expense of 3.2 M or Total Revenue of 269 M, as well as many indicators such as Price To Sales Ratio of 1.02, Dividend Yield of 0.0287 or PTB Ratio of 2.03. Forrester financial statements analysis is a perfect complement when working with Forrester Research Valuation or Volatility modules.
  
Check out the analysis of Forrester Research Correlation against competitors.
To learn how to invest in Forrester Stock, please use our How to Invest in Forrester Research guide.

Latest Forrester Research's Pretax Profit Margin Growth Pattern

Below is the plot of the Pretax Profit Margin of Forrester Research over the last few years. It is Forrester Research's Pretax Profit Margin historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Forrester Research's overall financial position and show how it may be relating to other accounts over time.
Pretax Profit Margin10 Years Trend
Slightly volatile
   Pretax Profit Margin   
       Timeline  

Forrester Pretax Profit Margin Regression Statistics

Arithmetic Mean0.07
Coefficient Of Variation69.53
Mean Deviation0.03
Median0.07
Standard Deviation0.05
Sample Variance0
Range0.1646
R-Value(0.78)
Mean Square Error0.0009
R-Squared0.61
Significance0.0006
Slope(0.01)
Total Sum of Squares0.03

Forrester Pretax Profit Margin History

2024 0.0124
2023 0.0131
2022 0.0571
2021 0.0671
2020 0.0288
2019 -0.0208
2018 0.0658

About Forrester Research Financial Statements

Forrester Research shareholders use historical fundamental indicators, such as Pretax Profit Margin, to determine how well the company is positioned to perform in the future. Although Forrester Research investors may analyze each financial statement separately, they are all interrelated. The changes in Forrester Research's assets and liabilities, for example, are also reflected in the revenues and expenses on on Forrester Research'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
Pretax Profit Margin 0.01  0.01 

Pair Trading with Forrester Research

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

Moving against Forrester Stock

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

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