Miller Ebitda vs Income Tax Expense Analysis

MLR Stock  USD 71.93  4.68  6.96%   
Miller Industries financial indicator trend analysis is infinitely more than just investigating Miller Industries recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Miller Industries is a good investment. Please check the relationship between Miller Industries Ebitda and its Income Tax Expense accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Miller Industries. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.
To learn how to invest in Miller Stock, please use our How to Invest in Miller Industries guide.

Ebitda vs Income Tax Expense

Ebitda vs Income Tax Expense Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Miller Industries Ebitda account and Income Tax Expense. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Miller Industries' Ebitda and Income Tax Expense is 0.8. Overlapping area represents the amount of variation of Ebitda that can explain the historical movement of Income Tax Expense in the same time period over historical financial statements of Miller Industries, assuming nothing else is changed. The correlation between historical values of Miller Industries' Ebitda and Income Tax Expense is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Ebitda of Miller Industries are associated (or correlated) with its Income Tax Expense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Tax Expense has no effect on the direction of Ebitda i.e., Miller Industries' Ebitda and Income Tax Expense go up and down completely randomly.

Correlation Coefficient

0.8
Relationship DirectionPositive 
Relationship StrengthStrong

Ebitda

Income Tax Expense

Most indicators from Miller Industries' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Miller Industries current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Miller Industries. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.
To learn how to invest in Miller Stock, please use our How to Invest in Miller Industries guide.At this time, Miller Industries' Enterprise Value Over EBITDA is relatively stable compared to the past year. As of 11/25/2024, Enterprise Value Multiple is likely to grow to 7.78, while Selling General Administrative is likely to drop slightly above 1.1 M.
 2021 2022 2023 2024 (projected)
Interest Expense1.4M3.4M6.0M4.3M
Depreciation And Amortization11.0M11.8M13.2M7.2M

Miller Industries fundamental ratios Correlations

0.830.750.980.980.940.590.960.980.110.820.130.250.980.490.870.98-0.120.550.970.971.0-0.470.62-0.21-0.46
0.830.450.860.710.680.860.780.86-0.220.520.01-0.080.850.180.990.91-0.110.230.920.880.86-0.350.380.15-0.18
0.750.450.70.790.790.250.660.690.230.87-0.050.320.720.710.50.66-0.060.730.660.60.72-0.350.53-0.57-0.66
0.980.860.70.920.880.670.931.0-0.020.750.210.140.990.40.890.97-0.140.460.990.970.99-0.430.57-0.1-0.37
0.980.710.790.920.950.420.940.920.280.870.10.390.930.60.760.92-0.110.650.90.910.96-0.470.68-0.36-0.55
0.940.680.790.880.950.490.950.880.120.930.140.280.880.460.750.88-0.180.510.870.880.9-0.620.54-0.26-0.41
0.590.860.250.670.420.490.590.67-0.670.340.19-0.440.67-0.20.850.69-0.21-0.150.740.70.61-0.380.040.470.17
0.960.780.660.930.940.950.590.930.050.840.20.240.920.290.820.94-0.190.350.920.940.94-0.590.44-0.03-0.24
0.980.860.691.00.920.880.670.93-0.030.750.220.150.990.390.880.97-0.150.450.990.970.98-0.430.55-0.08-0.36
0.11-0.220.23-0.020.280.12-0.670.05-0.030.21-0.370.73-0.040.65-0.190.030.280.62-0.07-0.050.10.120.46-0.69-0.59
0.820.520.870.750.870.930.340.840.750.210.060.360.750.50.590.75-0.190.540.730.730.77-0.580.38-0.35-0.45
0.130.01-0.050.210.10.140.190.20.22-0.370.060.040.25-0.240.00.07-0.51-0.170.160.240.130.02-0.060.290.22
0.25-0.080.320.140.390.28-0.440.240.150.730.360.040.150.48-0.070.16-0.450.540.090.090.230.30.38-0.57-0.45
0.980.850.720.990.930.880.670.920.99-0.040.750.250.150.430.880.96-0.170.490.980.970.98-0.410.59-0.13-0.4
0.490.180.710.40.60.46-0.20.290.390.650.5-0.240.480.430.20.380.230.990.360.330.490.00.84-0.92-0.97
0.870.990.50.890.760.750.850.820.88-0.190.590.0-0.070.880.20.94-0.090.250.940.910.88-0.430.390.12-0.19
0.980.910.660.970.920.880.690.940.970.030.750.070.160.960.380.94-0.110.430.990.960.98-0.460.54-0.07-0.35
-0.12-0.11-0.06-0.14-0.11-0.18-0.21-0.19-0.150.28-0.19-0.51-0.45-0.170.23-0.09-0.110.11-0.13-0.11-0.11-0.290.14-0.14-0.18
0.550.230.730.460.650.51-0.150.350.450.620.54-0.170.540.490.990.250.430.110.410.380.540.020.87-0.91-0.97
0.970.920.660.990.90.870.740.920.99-0.070.730.160.090.980.360.940.99-0.130.410.970.98-0.440.53-0.04-0.33
0.970.880.60.970.910.880.70.940.97-0.050.730.240.090.970.330.910.96-0.110.380.970.97-0.510.520.0-0.3
1.00.860.720.990.960.90.610.940.980.10.770.130.230.980.490.880.98-0.110.540.980.97-0.420.63-0.19-0.46
-0.47-0.35-0.35-0.43-0.47-0.62-0.38-0.59-0.430.12-0.580.020.3-0.410.0-0.43-0.46-0.290.02-0.44-0.51-0.42-0.03-0.15-0.06
0.620.380.530.570.680.540.040.440.550.460.38-0.060.380.590.840.390.540.140.870.530.520.63-0.03-0.72-0.83
-0.210.15-0.57-0.1-0.36-0.260.47-0.03-0.08-0.69-0.350.29-0.57-0.13-0.920.12-0.07-0.14-0.91-0.040.0-0.19-0.15-0.720.9
-0.46-0.18-0.66-0.37-0.55-0.410.17-0.24-0.36-0.59-0.450.22-0.45-0.4-0.97-0.19-0.35-0.18-0.97-0.33-0.3-0.46-0.06-0.830.9
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Miller Industries Account Relationship Matchups

Miller Industries fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets392.0M398.4M438.8M501.4M647.2M679.6M
Short Long Term Debt Total7.1M1.5M1.2M45.9M60.8M63.9M
Other Current Liab27.5M22.6M22.4M27.6M29.6M20.2M
Total Current Liabilities124.3M110.7M144.3M156.1M234.7M246.4M
Total Stockholder Equity257.9M282.5M288.5M293.5M347.9M365.3M
Property Plant And Equipment Net92.4M100.1M97.7M113.1M115.9M121.7M
Net Debt(19.0M)(56.0M)(53.1M)5.8M30.9M32.5M
Retained Earnings112.3M133.9M141.9M150.1M200.2M210.2M
Accounts Payable95.8M85.5M121.7M125.5M191.8M201.4M
Cash26.1M57.5M54.3M40.2M29.9M27.4M
Non Current Assets Total104.5M112.1M109.9M125.4M136.7M82.2M
Non Currrent Assets Other521K434K533K(5.5M)819K1.3M
Cash And Short Term Investments26.1M57.5M54.3M40.2M29.9M25.8M
Net Receivables168.6M141.6M154.0M177.7M286.1M300.4M
Common Stock Shares Outstanding11.4M11.4M11.4M11.4M11.5M11.5M
Liabilities And Stockholders Equity392.0M398.4M438.8M501.4M647.2M679.6M
Non Current Liabilities Total9.8M5.3M6.0M51.8M64.6M67.8M
Inventory88.0M83.9M114.9M153.7M189.8M199.3M
Other Current Assets4.8M3.2M5.8M4.6M4.6M9.1M
Other Stockholder Equity151.1M151.2M151.4M152.4M153.6M156.9M
Total Liab134.0M116.0M150.3M208.0M299.3M314.3M
Property Plant And Equipment Gross92.4M100.1M97.7M113.1M218.4M229.3M
Total Current Assets287.5M286.3M329.0M376.0M510.5M536.0M
Accumulated Other Comprehensive Income(5.5M)(2.8M)(4.9M)(9.2M)(5.9M)(6.2M)
Short Term Debt719K375K752K622K640K608K
Other Assets521K1.9M533K708K637.2K605.3K
Long Term Debt10.2M15.5M5.0M45M60M63M
Property Plant Equipment90.7M98.6M96.5M112.1M129.0M135.4M
Other Liab3.4M4.1M5.2M6.2M7.2M4.0M
Current Deferred Revenue324K272K257K242K10.9M11.5M
Net Tangible Assets246.3M270.8M276.9M281.8M324.1M221.2M
Retained Earnings Total Equity112.3M133.9M141.9M150.1M172.6M181.3M
Capital Surpluse151.1M151.2M151.4M152.4M175.3M165.3M
Deferred Long Term Liab3.4M4.1M5.2M6.2M7.2M7.5M
Long Term Debt Total5.0M15K0.045M51.8M54.3M

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.