Murphy Net Receivables from 2010 to 2024

MUR Stock  USD 32.53  0.10  0.31%   
Murphy Oil Net Receivables yearly trend continues to be relatively stable with very little volatility. Net Receivables is likely to grow to about 617.6 M this year. During the period from 2010 to 2024, Murphy Oil Net Receivables destribution of quarterly values had range of 1.6 B from its regression line and mean deviation of  370,575,466. View All Fundamentals
 
Net Receivables  
First Reported
1985-12-31
Previous Quarter
337 M
Current Value
263.1 M
Quarterly Volatility
473.5 M
 
Black Monday
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Murphy Oil financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Murphy Oil's main balance sheet or income statement drivers, such as Depreciation And Amortization of 691.4 M, Interest Expense of 118 M or Total Revenue of 3.3 B, as well as many indicators such as Price To Sales Ratio of 2.02, Dividend Yield of 0.0238 or PTB Ratio of 1.58. Murphy financial statements analysis is a perfect complement when working with Murphy Oil Valuation or Volatility modules.
  
Check out the analysis of Murphy Oil Correlation against competitors.
To learn how to invest in Murphy Stock, please use our How to Invest in Murphy Oil guide.

Latest Murphy Oil's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Murphy Oil over the last few years. It is Murphy Oil's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Murphy Oil's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Murphy Net Receivables Regression Statistics

Arithmetic Mean625,345,252
Geometric Mean500,913,643
Coefficient Of Variation78.88
Mean Deviation370,575,466
Median391,152,000
Standard Deviation493,243,732
Sample Variance243289.4T
Range1.6B
R-Value(0.57)
Mean Square Error176123.9T
R-Squared0.33
Significance0.03
Slope(63,144,966)
Total Sum of Squares3406051.3T

Murphy Net Receivables History

2024617.6 M
2023344 M
2022391.2 M
2021258.1 M
2020262 M
2019426.7 M
2018331.9 M

About Murphy Oil Financial Statements

Murphy Oil shareholders use historical fundamental indicators, such as Net Receivables, to determine how well the company is positioned to perform in the future. Although Murphy Oil investors may analyze each financial statement separately, they are all interrelated. The changes in Murphy Oil's assets and liabilities, for example, are also reflected in the revenues and expenses on on Murphy Oil'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 Receivables344 M617.6 M

Pair Trading with Murphy Oil

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

Moving together with Murphy Stock

  0.92SD SandRidge EnergyPairCorr

Moving against Murphy Stock

  0.55CNX CNX Resources Corp Fiscal Year End 23rd of January 2025 PairCorr
  0.53DMLP Dorchester MineralsPairCorr
  0.38EPSN Epsilon EnergyPairCorr
The ability to find closely correlated positions to Murphy Oil could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Murphy Oil 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 Murphy Oil - 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 Murphy Oil to buy it.
The correlation of Murphy Oil 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 Murphy Oil moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Murphy Oil 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 Murphy Oil 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 Murphy Stock Analysis

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