Ranger Net Working Capital from 2010 to 2024

RNGR Stock  USD 14.46  0.14  0.98%   
Ranger Energy Net Working Capital yearly trend continues to be relatively stable with very little volatility. Net Working Capital is likely to grow to about 69.7 M this year. During the period from 2010 to 2024, Ranger Energy Net Working Capital destribution of quarterly values had range of 72.9 M from its regression line and mean deviation of  21,906,133. View All Fundamentals
 
Net Working Capital  
First Reported
2010-12-31
Previous Quarter
66.4 M
Current Value
69.7 M
Quarterly Volatility
28.5 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Ranger Energy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ranger Energy's main balance sheet or income statement drivers, such as Interest Income of 3.7 M, Depreciation And Amortization of 30.3 M or Interest Expense of 4.4 M, as well as many indicators such as Price To Sales Ratio of 0.38, Dividend Yield of 0.0104 or PTB Ratio of 0.92. Ranger financial statements analysis is a perfect complement when working with Ranger Energy Valuation or Volatility modules.
  
Check out the analysis of Ranger Energy Correlation against competitors.

Latest Ranger Energy's Net Working Capital Growth Pattern

Below is the plot of the Net Working Capital of Ranger Energy Services over the last few years. It is Ranger Energy's Net Working Capital historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ranger Energy's overall financial position and show how it may be relating to other accounts over time.
Net Working Capital10 Years Trend
Slightly volatile
   Net Working Capital   
       Timeline  

Ranger Net Working Capital Regression Statistics

Arithmetic Mean12,474,667
Geometric Mean5,624,845
Coefficient Of Variation228.27
Mean Deviation21,906,133
Median(3,200,000)
Standard Deviation28,475,803
Sample Variance810.9T
Range72.9M
R-Value0.75
Mean Square Error386.2T
R-Squared0.56
Significance0
Slope4,755,500
Total Sum of Squares11352.2T

Ranger Net Working Capital History

202469.7 M
202366.4 M
202265.6 M
20212.5 M
20202.7 M
20193.6 M
20182.2 M

About Ranger Energy Financial Statements

Ranger Energy shareholders use historical fundamental indicators, such as Net Working Capital, to determine how well the company is positioned to perform in the future. Although Ranger Energy investors may analyze each financial statement separately, they are all interrelated. The changes in Ranger Energy's assets and liabilities, for example, are also reflected in the revenues and expenses on on Ranger Energy'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 Working Capital66.4 M69.7 M

Pair Trading with Ranger Energy

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

Moving together with Ranger Stock

  0.94TS Tenaris SA ADRPairCorr
  0.88EFXT EnerflexPairCorr

Moving against Ranger Stock

  0.65DWSN Dawson GeophysicalPairCorr
  0.33WFRD Weatherford InternationalPairCorr
The ability to find closely correlated positions to Ranger Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ranger Energy 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 Ranger Energy - 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 Ranger Energy Services to buy it.
The correlation of Ranger Energy 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 Ranger Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ranger Energy Services 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 Ranger Energy 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 Ranger Stock Analysis

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