| MITQ Stock | | | USD 0.70 0.04 5.41% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Moving IMage Piotroski F Score and
Moving IMage Valuation analysis.
At this time, Moving IMage's
Net Working Capital is relatively stable compared to the past year. As of 02/01/2025,
Capital Lease Obligations is likely to grow to about 213.4
K, while
Net Invested Capital is likely to drop slightly above 6.4
M. At this time, Moving IMage's
Interest Expense is relatively stable compared to the past year. As of 02/01/2025,
Net Interest Income is likely to grow to about 223.4
K, while
Depreciation And Amortization is likely to drop slightly above 201.6
K.
Moving iMage Technologies Company Z Score Analysis
Moving IMage's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
Moving Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Moving IMage is extremely important. It helps to project a fair market value of Moving Stock properly, considering its historical
fundamentals such as Z Score. Since Moving IMage's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Moving IMage's historical
financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Moving IMage's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Based on the company's disclosures, Moving iMage Technologies has a Z Score of 0.0. This is 100.0% lower than that of the Electronic Equipment, Instruments & Components sector and 100.0% lower than that of the
Information Technology industry. The z score for all United States stocks is 100.0% higher than that of the company.
Moving Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Moving IMage's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Moving IMage could also be used in its relative valuation, which is a method of valuing Moving IMage by comparing valuation metrics of similar companies.
Moving IMage is currently under evaluation in z score category among its peers.
Moving Fundamentals
About Moving IMage Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Moving iMage Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Moving IMage using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Moving iMage Technologies based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
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.
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.
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.