INC Ev To Operating Cash Flow from 2010 to 2025

INCR Stock  USD 1.41  0.02  1.40%   
INC Research EV To Operating Cash Flow yearly trend continues to be relatively stable with very little volatility. EV To Operating Cash Flow is likely to drop to -5.6. EV To Operating Cash Flow is a valuation metric comparing INC Research's enterprise value to its operating cash flow, indicating how many dollars of EV are generated for each dollar of operating cash flows. View All Fundamentals
 
EV To Operating Cash Flow  
First Reported
2010-12-31
Previous Quarter
(5.33)
Current Value
(5.60)
Quarterly Volatility
283.04628257
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check INC Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among INC Research's main balance sheet or income statement drivers, such as Depreciation And Amortization of 15.9 M, Interest Expense of 29.2 M or Selling General Administrative of 77.6 M, as well as many indicators such as Price To Sales Ratio of 0.69, Dividend Yield of 0.0 or PTB Ratio of 0.42. INC financial statements analysis is a perfect complement when working with INC Research Valuation or Volatility modules.
  
Check out the analysis of INC Research Correlation against competitors.

Latest INC Research's Ev To Operating Cash Flow Growth Pattern

Below is the plot of the Ev To Operating Cash Flow of INC Research Holdings over the last few years. It is a valuation metric comparing the company's enterprise value to its operating cash flow, indicating how many dollars of EV are generated for each dollar of operating cash flows. INC Research's EV To Operating Cash Flow historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in INC Research's overall financial position and show how it may be relating to other accounts over time.
Ev To Operating Cash Flow10 Years Trend
Slightly volatile
   Ev To Operating Cash Flow   
       Timeline  

INC Ev To Operating Cash Flow Regression Statistics

Arithmetic Mean(127.96)
Coefficient Of Variation(221.20)
Mean Deviation197.05
Median(5.60)
Standard Deviation283.05
Sample Variance80,115
Range870
R-Value0.57
Mean Square Error58,088
R-Squared0.32
Significance0.02
Slope33.80
Total Sum of Squares1.2M

INC Ev To Operating Cash Flow History

2025 -5.6
2024 -5.33
2023 -5.92
2022 11.47
2021 35.37
2020 49.22
2019 -93.66

About INC Research Financial Statements

INC Research shareholders use historical fundamental indicators, such as Ev To Operating Cash Flow, to determine how well the company is positioned to perform in the future. Although INC Research investors may analyze each financial statement separately, they are all interrelated. The changes in INC Research's assets and liabilities, for example, are also reflected in the revenues and expenses on on INC 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
EV To Operating Cash Flow(5.33)(5.60)

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

Moving against INC Stock

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The ability to find closely correlated positions to INC 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 INC 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 INC 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 INC Research Holdings to buy it.
The correlation of INC 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 INC Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if INC Research Holdings 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 INC 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 INC Stock Analysis

When running INC Research's price analysis, check to measure INC 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 INC Research is operating at the current time. Most of INC Research's value examination focuses on studying past and present price action to predict the probability of INC 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 INC Research's price. Additionally, you may evaluate how the addition of INC Research to your portfolios can decrease your overall portfolio volatility.