Miller Cost Of Revenue from 2010 to 2024

MLR Stock  USD 67.65  0.10  0.15%   
Miller Industries Cost Of Revenue yearly trend continues to be relatively stable with very little volatility. Cost Of Revenue is likely to grow to about 1.1 B this year. During the period from 2010 to 2024, Miller Industries Cost Of Revenue destribution of quarterly values had range of 973.6 M from its regression line and mean deviation of  190,822,480. View All Fundamentals
 
Cost Of Revenue  
First Reported
1994-06-30
Previous Quarter
320.4 M
Current Value
272.2 M
Quarterly Volatility
63.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Miller Industries financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Miller Industries' main balance sheet or income statement drivers, such as Depreciation And Amortization of 7.2 M, Interest Expense of 4.3 M or Total Revenue of 1.2 B, as well as many indicators such as Price To Sales Ratio of 0.64, Dividend Yield of 0.0271 or PTB Ratio of 1.86. Miller financial statements analysis is a perfect complement when working with Miller Industries Valuation or Volatility modules.
  
Check out the analysis of Miller Industries Correlation against competitors.
To learn how to invest in Miller Stock, please use our How to Invest in Miller Industries guide.

Latest Miller Industries' Cost Of Revenue Growth Pattern

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

Miller Cost Of Revenue Regression Statistics

Arithmetic Mean565,506,200
Geometric Mean493,170,272
Coefficient Of Variation45.41
Mean Deviation190,822,480
Median548,000,000
Standard Deviation256,820,660
Sample Variance65956.9T
Range973.6M
R-Value0.95
Mean Square Error7583.1T
R-Squared0.89
Slope54,274,961
Total Sum of Squares923395.9T

Miller Cost Of Revenue History

20241.1 B
2023B
2022766 M
2021647.6 M
2020572.9 M
2019721.7 M
2018628.4 M

About Miller Industries Financial Statements

Miller Industries shareholders use historical fundamental indicators, such as Cost Of Revenue, to determine how well the company is positioned to perform in the future. Although Miller Industries investors may analyze each financial statement separately, they are all interrelated. The changes in Miller Industries' assets and liabilities, for example, are also reflected in the revenues and expenses on on Miller Industries' 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 RevenueB1.1 B

Pair Trading with Miller Industries

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

Moving against Miller Stock

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

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