Moving Net Debt To E B I T D A from 2010 to 2024

MITQ Stock  USD 0.65  0.02  3.17%   
Moving IMage Net Debt To EBITDA yearly trend continues to be relatively stable with very little volatility. Net Debt To EBITDA is likely to drop to 2.83. Net Debt To EBITDA is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). View All Fundamentals
 
Net Debt To EBITDA  
First Reported
2010-12-31
Previous Quarter
4.21628289
Current Value
2.83
Quarterly Volatility
9.93445408
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Moving IMage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Moving IMage's main balance sheet or income statement drivers, such as Interest Expense of 167.8 M, Net Interest Income of 194.2 K or Interest Income of 194.2 K, as well as many indicators such as Price To Sales Ratio of 0.31, Dividend Yield of 3.0E-4 or PTB Ratio of 1.23. Moving financial statements analysis is a perfect complement when working with Moving IMage Valuation or Volatility modules.
  
Check out the analysis of Moving IMage Correlation against competitors.

Latest Moving IMage's Net Debt To E B I T D A Growth Pattern

Below is the plot of the Net Debt To E B I T D A of Moving iMage Technologies over the last few years. It is a leverage ratio that indicates a company's ability to pay off its incurred debt. It compares a company's net debt (total debt minus cash) to its Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). Moving IMage's Net Debt To EBITDA historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Moving IMage's overall financial position and show how it may be relating to other accounts over time.
Net Debt To E B I T D A10 Years Trend
Pretty Stable
   Net Debt To E B I T D A   
       Timeline  

Moving Net Debt To E B I T D A Regression Statistics

Arithmetic Mean0.23
Geometric Mean3.92
Coefficient Of Variation4,299
Mean Deviation5.93
Median(3.32)
Standard Deviation9.93
Sample Variance98.69
Range46.3223
R-Value0.24
Mean Square Error100.12
R-Squared0.06
Significance0.39
Slope0.53
Total Sum of Squares1,382

Moving Net Debt To E B I T D A History

2024 2.83
2023 4.22
2022 4.27
2021 1.97
2020 -13.99
2019 -3.92
2018 32.33

About Moving IMage Financial Statements

Moving IMage shareholders use historical fundamental indicators, such as Net Debt To E B I T D A, to determine how well the company is positioned to perform in the future. Although Moving IMage investors may analyze each financial statement separately, they are all interrelated. The changes in Moving IMage's assets and liabilities, for example, are also reflected in the revenues and expenses on on Moving IMage'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
Net Debt To EBITDA 4.22  2.83 

Pair Trading with Moving IMage

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

Moving against Moving Stock

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

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