Intuitive Machines Stock Z Score
| LUNR Stock | 14.45 0.39 2.77% |
Intuitive | Z Score |
Intuitive Machines Company Z Score Analysis
Intuitive Machines' 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..
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Intuitive Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Intuitive Machines is extremely important. It helps to project a fair market value of Intuitive Stock properly, considering its historical fundamentals such as Z Score. Since Intuitive Machines' 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 Intuitive Machines' 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 Intuitive Machines' interrelated accounts and indicators.
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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.
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Based on the company's disclosures, Intuitive Machines has a Z Score of 0.0. This is 100.0% lower than that of the Aerospace & Defense sector and 100.0% lower than that of the Industrials industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Intuitive Machines ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Intuitive Machines' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Intuitive Machines' managers, analysts, and investors.Environmental | Governance | Social |
Intuitive Fundamentals
| Return On Asset | -0.33 | ||||
| Profit Margin | (0.55) % | ||||
| Operating Margin | (0.68) % | ||||
| Current Valuation | 1.12 B | ||||
| Shares Outstanding | 80.86 M | ||||
| Shares Owned By Insiders | 10.79 % | ||||
| Shares Owned By Institutions | 34.91 % | ||||
| Number Of Shares Shorted | 19.97 M | ||||
| Price To Sales | 7.41 X | ||||
| Revenue | 79.52 M | ||||
| EBITDA | 48.46 M | ||||
| Net Income | 15.02 M | ||||
| Total Debt | 43.48 M | ||||
| Book Value Per Share | (12.52) X | ||||
| Cash Flow From Operations | (45.28 M) | ||||
| Short Ratio | 1.72 X | ||||
| Earnings Per Share | (2.22) X | ||||
| Target Price | 17.0 | ||||
| Number Of Employees | 382 | ||||
| Beta | 0.35 | ||||
| Market Capitalization | 1.17 B | ||||
| Total Asset | 85.91 M | ||||
| Retained Earnings | (250.47 M) | ||||
| Working Capital | (51.77 M) | ||||
| Net Asset | 85.91 M |
About Intuitive Machines Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Intuitive Machines's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Intuitive Machines using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Intuitive Machines 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 Intuitive Machines
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 Intuitive Machines 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 Intuitive Machines will appreciate offsetting losses from the drop in the long position's value.Moving together with Intuitive Stock
Moving against Intuitive Stock
| 0.75 | HII | Huntington Ingalls | PairCorr |
| 0.69 | BA | Boeing Fiscal Year End 29th of January 2025 | PairCorr |
| 0.48 | EVTL | Vertical Aerospace Trending | PairCorr |
| 0.39 | GD | General Dynamics Fiscal Year End 22nd of January 2025 | PairCorr |
The ability to find closely correlated positions to Intuitive Machines could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Intuitive Machines 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 Intuitive Machines - 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 Intuitive Machines to buy it.
The correlation of Intuitive Machines 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 Intuitive Machines moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Intuitive Machines 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 Intuitive Machines 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 Intuitive Stock Analysis
When running Intuitive Machines' price analysis, check to measure Intuitive Machines' 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 Intuitive Machines is operating at the current time. Most of Intuitive Machines' value examination focuses on studying past and present price action to predict the probability of Intuitive Machines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Intuitive Machines' price. Additionally, you may evaluate how the addition of Intuitive Machines to your portfolios can decrease your overall portfolio volatility.