Mobile Infrastructure Stock EBITDA
| BEEP Stock | 3.18 0.08 2.58% |
Mobile Infrastructure fundamentals help investors to digest information that contributes to Mobile Infrastructure's financial success or failures. It also enables traders to predict the movement of Mobile Stock. The fundamental analysis module provides a way to measure Mobile Infrastructure's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Mobile Infrastructure stock.
| Last Reported | Projected for Next Year | ||
| EBITDA | -27.3 M | -26 M |
Mobile | EBITDA |
Mobile Infrastructure Company EBITDA Analysis
Mobile Infrastructure's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Current Mobile Infrastructure EBITDA | (27.33 M) |
Most of Mobile Infrastructure's fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Mobile Infrastructure is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Mobile EBITDA Driver Correlations
Understanding the fundamental principles of building solid financial models for Mobile Infrastructure is extremely important. It helps to project a fair market value of Mobile Stock properly, considering its historical fundamentals such as EBITDA. Since Mobile Infrastructure'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 Mobile Infrastructure'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 Mobile Infrastructure's interrelated accounts and indicators.
Click cells to compare fundamentals
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
| Competition |
Mobile Ebitda
According to the company disclosure, Mobile Infrastructure reported earnings before interest,tax, depreciation and amortization of (27.33 Million). This is 104.69% lower than that of the Transportation Infrastructure sector and 101.32% lower than that of the Industrials industry. The ebitda for all United States stocks is 100.7% higher than that of the company.
Mobile EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Mobile Infrastructure's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Mobile Infrastructure could also be used in its relative valuation, which is a method of valuing Mobile Infrastructure by comparing valuation metrics of similar companies.Mobile Infrastructure is currently under evaluation in ebitda category among its peers.
Mobile Infrastructure Current Valuation Drivers
We derive many important indicators used in calculating different scores of Mobile Infrastructure from analyzing Mobile Infrastructure's financial statements. These drivers represent accounts that assess Mobile Infrastructure's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Mobile Infrastructure's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 67.9M | 70.9M | 76.0M | 53.6M | 48.3M | 41.1M | |
| Enterprise Value | 218.8M | 222.3M | 231.1M | 229.8M | 206.8M | 141.0M |
Mobile Fundamentals
| Return On Equity | -0.19 | ||||
| Return On Asset | -0.007 | ||||
| Profit Margin | (0.74) % | ||||
| Operating Margin | 0.04 % | ||||
| Current Valuation | 327.85 M | ||||
| Shares Outstanding | 41.9 M | ||||
| Shares Owned By Insiders | 11.72 % | ||||
| Shares Owned By Institutions | 42.69 % | ||||
| Number Of Shares Shorted | 80.82 K | ||||
| Price To Book | 0.99 X | ||||
| Price To Sales | 3.91 X | ||||
| Revenue | 30.27 M | ||||
| EBITDA | (27.33 M) | ||||
| Net Income | (38.24 M) | ||||
| Total Debt | 192.9 M | ||||
| Book Value Per Share | 3.93 X | ||||
| Cash Flow From Operations | (2.12 M) | ||||
| Short Ratio | 1.18 X | ||||
| Earnings Per Share | (0.53) X | ||||
| Number Of Employees | 18 | ||||
| Beta | 0.67 | ||||
| Market Capitalization | 133.24 M | ||||
| Total Asset | 423.24 M | ||||
| Retained Earnings | (134.29 M) | ||||
| Working Capital | (65.14 M) | ||||
| Net Asset | 423.24 M |
About Mobile Infrastructure Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mobile Infrastructure's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mobile Infrastructure using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Mobile Infrastructure 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 Mobile Infrastructure
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 Mobile Infrastructure 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 Mobile Infrastructure will appreciate offsetting losses from the drop in the long position's value.Moving against Mobile Stock
| 0.46 | B | Barnes Group | PairCorr |
| 0.41 | BW | Babcock Wilcox Enter | PairCorr |
| 0.39 | DY | Dycom Industries | PairCorr |
| 0.37 | IR | Ingersoll Rand | PairCorr |
| 0.36 | DE | Deere Company Fiscal Year End 27th of November 2024 | PairCorr |
The ability to find closely correlated positions to Mobile Infrastructure could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mobile Infrastructure 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 Mobile Infrastructure - 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 Mobile Infrastructure to buy it.
The correlation of Mobile Infrastructure 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 Mobile Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mobile Infrastructure 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 Mobile Infrastructure 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 Mobile Stock Analysis
When running Mobile Infrastructure's price analysis, check to measure Mobile Infrastructure'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 Mobile Infrastructure is operating at the current time. Most of Mobile Infrastructure's value examination focuses on studying past and present price action to predict the probability of Mobile Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Infrastructure's price. Additionally, you may evaluate how the addition of Mobile Infrastructure to your portfolios can decrease your overall portfolio volatility.