PACCAR Cost Of Revenue from 2010 to 2024

PCAR Stock  USD 113.01  0.21  0.19%   
PACCAR Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to grow to about 28.2 B this year. During the period from 2010 to 2024, PACCAR Cost Of Revenue destribution of quarterly values had range of 26.6 B from its regression line and mean deviation of  4,685,686,133. View All Fundamentals
 
Cost Of Revenue  
First Reported
1989-06-30
Previous Quarter
7.2 B
Current Value
6.7 B
Quarterly Volatility
1.8 B
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check PACCAR financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among PACCAR's main balance sheet or income statement drivers, such as Depreciation And Amortization of 970.1 M, Interest Expense of 293 M or Total Revenue of 36.9 B, as well as many indicators such as Price To Sales Ratio of 1.53, Dividend Yield of 0.0386 or PTB Ratio of 1.92. PACCAR financial statements analysis is a perfect complement when working with PACCAR Valuation or Volatility modules.
  
Check out the analysis of PACCAR Correlation against competitors.

Latest PACCAR's Cost Of Revenue Growth Pattern

Below is the plot of the Cost Of Revenue of PACCAR Inc over the last few years. Cost of Revenue is found on PACCAR Inc income statement and represents the costs associated with goods and services PACCAR 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 PACCAR's Cost Of Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in PACCAR'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  

PACCAR Cost Of Revenue Regression Statistics

Arithmetic Mean17,618,860,667
Geometric Mean15,529,648,896
Coefficient Of Variation36.48
Mean Deviation4,685,686,133
Median16,276,500,000
Standard Deviation6,427,154,965
Sample Variance41308320.9T
Range26.6B
R-Value0.88
Mean Square Error10011953.8T
R-Squared0.77
Significance0.000015
Slope1,265,138,464
Total Sum of Squares578316493.2T

PACCAR Cost Of Revenue History

202428.2 B
202326.9 B
202224.1 B
202120.2 B
202016.3 B
201921.6 B
201819.8 B

About PACCAR Financial Statements

PACCAR shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although PACCAR investors may analyze each financial statement separately, they are all interrelated. The changes in PACCAR's assets and liabilities, for example, are also reflected in the revenues and expenses on on PACCAR'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 Revenue26.9 B28.2 B

Pair Trading with PACCAR

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

Moving together with PACCAR Stock

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Moving against PACCAR Stock

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  0.37TWI Titan InternationalPairCorr
The ability to find closely correlated positions to PACCAR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PACCAR 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 PACCAR - 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 PACCAR Inc to buy it.
The correlation of PACCAR 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 PACCAR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PACCAR Inc 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 PACCAR 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 PACCAR Stock Analysis

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