Plains Cost Of Revenue from 2010 to 2024

PAGP Stock  USD 20.02  0.55  2.82%   
Plains GP Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to drop to about 35.5 B. During the period from 2010 to 2024, Plains GP Cost Of Revenue destribution of quarterly values had range of 36.4 B from its regression line and mean deviation of  8,103,490,286. View All Fundamentals
 
Cost Of Revenue  
First Reported
2011-03-31
Previous Quarter
12.5 B
Current Value
483 M
Quarterly Volatility
4.8 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Plains GP financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Plains GP's main balance sheet or income statement drivers, such as Depreciation And Amortization of 607.4 M, Interest Expense of 425.1 M or Selling General Administrative of 338.8 M, as well as many indicators such as Price To Sales Ratio of 0.1, Dividend Yield of 0.12 or PTB Ratio of 2.11. Plains financial statements analysis is a perfect complement when working with Plains GP Valuation or Volatility modules.
  
Check out the analysis of Plains GP Correlation against competitors.

Latest Plains GP's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of Plains GP Holdings over the last few years. Cost of Revenue is found on Plains GP Holdings income statement and represents the costs associated with goods and services Plains GP provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Plains GP's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Plains GP's overall financial position and show how it may be relating to other accounts over time.
Cost Of Revenue10 Years Trend
Slightly volatile
   Cost Of Revenue   
       Timeline  

Plains Cost Of Revenue Regression Statistics

Arithmetic Mean32,465,647,143
Geometric Mean30,971,404,658
Coefficient Of Variation31.40
Mean Deviation8,103,490,286
Median31,814,000,000
Standard Deviation10,193,151,791
Sample Variance103900343.4T
Range36.4B
R-Value0.37
Mean Square Error96626835.1T
R-Squared0.14
Significance0.18
Slope841,885,536
Total Sum of Squares1454604808.2T

Plains Cost Of Revenue History

202435.5 B
202345.6 B
202254.1 B
202139.2 B
202021.1 B
201930.1 B
201830.3 B

About Plains GP Financial Statements

Plains GP shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Plains GP investors may analyze each financial statement separately, they are all interrelated. The changes in Plains GP's assets and liabilities, for example, are also reflected in the revenues and expenses on on Plains GP'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
Cost Of Revenue45.6 B35.5 B

Pair Trading with Plains GP

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 Plains GP 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 Plains GP will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Plains GP could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Plains GP 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 Plains GP - 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 Plains GP Holdings to buy it.
The correlation of Plains GP 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 Plains GP moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Plains GP 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 Plains GP 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 Plains Stock Analysis

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