Miller Selling And Marketing Expenses vs Ebitda Analysis
MLR Stock | USD 67.25 0.42 0.63% |
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 Selling And Marketing Expenses and its Ebitda 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.
Selling And Marketing Expenses vs Ebitda
Selling And Marketing Expenses vs Ebitda Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Miller Industries Selling And Marketing Expenses account and Ebitda. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Miller Industries' Selling And Marketing Expenses and Ebitda is 0.83. Overlapping area represents the amount of variation of Selling And Marketing Expenses that can explain the historical movement of Ebitda 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' Selling And Marketing Expenses and Ebitda is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Selling And Marketing Expenses of Miller Industries are associated (or correlated) with its Ebitda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ebitda has no effect on the direction of Selling And Marketing Expenses i.e., Miller Industries' Selling And Marketing Expenses and Ebitda go up and down completely randomly.
Correlation Coefficient | 0.83 |
Relationship Direction | Positive |
Relationship Strength | Strong |
Selling And Marketing Expenses
Ebitda
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 11/22/2024, 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 Expense | 1.4M | 3.4M | 6.0M | 4.3M | Depreciation And Amortization | 11.0M | 11.8M | 13.2M | 7.2M |
Miller Industries fundamental ratios Correlations
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Miller Industries Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Miller Industries fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 392.0M | 398.4M | 438.8M | 501.4M | 647.2M | 679.6M | |
Short Long Term Debt Total | 7.1M | 1.5M | 1.2M | 45.9M | 60.8M | 63.9M | |
Other Current Liab | 27.5M | 22.6M | 22.4M | 27.6M | 29.6M | 20.2M | |
Total Current Liabilities | 124.3M | 110.7M | 144.3M | 156.1M | 234.7M | 246.4M | |
Total Stockholder Equity | 257.9M | 282.5M | 288.5M | 293.5M | 347.9M | 365.3M | |
Property Plant And Equipment Net | 92.4M | 100.1M | 97.7M | 113.1M | 115.9M | 121.7M | |
Net Debt | (19.0M) | (56.0M) | (53.1M) | 5.8M | 30.9M | 32.5M | |
Retained Earnings | 112.3M | 133.9M | 141.9M | 150.1M | 200.2M | 210.2M | |
Accounts Payable | 95.8M | 85.5M | 121.7M | 125.5M | 191.8M | 201.4M | |
Cash | 26.1M | 57.5M | 54.3M | 40.2M | 29.9M | 27.4M | |
Non Current Assets Total | 104.5M | 112.1M | 109.9M | 125.4M | 136.7M | 82.2M | |
Non Currrent Assets Other | 521K | 434K | 533K | (5.5M) | 819K | 1.3M | |
Cash And Short Term Investments | 26.1M | 57.5M | 54.3M | 40.2M | 29.9M | 25.8M | |
Net Receivables | 168.6M | 141.6M | 154.0M | 177.7M | 286.1M | 300.4M | |
Common Stock Shares Outstanding | 11.4M | 11.4M | 11.4M | 11.4M | 11.5M | 11.5M | |
Liabilities And Stockholders Equity | 392.0M | 398.4M | 438.8M | 501.4M | 647.2M | 679.6M | |
Non Current Liabilities Total | 9.8M | 5.3M | 6.0M | 51.8M | 64.6M | 67.8M | |
Inventory | 88.0M | 83.9M | 114.9M | 153.7M | 189.8M | 199.3M | |
Other Current Assets | 4.8M | 3.2M | 5.8M | 4.6M | 4.6M | 9.1M | |
Other Stockholder Equity | 151.1M | 151.2M | 151.4M | 152.4M | 153.6M | 156.9M | |
Total Liab | 134.0M | 116.0M | 150.3M | 208.0M | 299.3M | 314.3M | |
Property Plant And Equipment Gross | 92.4M | 100.1M | 97.7M | 113.1M | 218.4M | 229.3M | |
Total Current Assets | 287.5M | 286.3M | 329.0M | 376.0M | 510.5M | 536.0M | |
Accumulated Other Comprehensive Income | (5.5M) | (2.8M) | (4.9M) | (9.2M) | (5.9M) | (6.2M) | |
Short Term Debt | 719K | 375K | 752K | 622K | 640K | 608K | |
Other Assets | 521K | 1.9M | 533K | 708K | 637.2K | 605.3K | |
Long Term Debt | 10.2M | 15.5M | 5.0M | 45M | 60M | 63M | |
Property Plant Equipment | 90.7M | 98.6M | 96.5M | 112.1M | 129.0M | 135.4M | |
Other Liab | 3.4M | 4.1M | 5.2M | 6.2M | 7.2M | 4.0M | |
Current Deferred Revenue | 324K | 272K | 257K | 242K | 10.9M | 11.5M | |
Net Tangible Assets | 246.3M | 270.8M | 276.9M | 281.8M | 324.1M | 221.2M | |
Retained Earnings Total Equity | 112.3M | 133.9M | 141.9M | 150.1M | 172.6M | 181.3M | |
Capital Surpluse | 151.1M | 151.2M | 151.4M | 152.4M | 175.3M | 165.3M | |
Deferred Long Term Liab | 3.4M | 4.1M | 5.2M | 6.2M | 7.2M | 7.5M | |
Long Term Debt Total | 5.0M | 15K | 0.0 | 45M | 51.8M | 54.3M |
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 together with Miller Stock
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.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.