Mobile Infrastructure Net Income
| BEEP Stock | 3.11 0.08 2.64% |
As of the 6th of February, Mobile Infrastructure secures the Standard Deviation of 4.04, insignificant risk adjusted performance, and Mean Deviation of 2.96. Mobile Infrastructure technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices.
Mobile Infrastructure Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 9.3988 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Loss | -7.5 M | -7.9 M | |
| Net Loss | -16.2 M | -17 M | |
| Net Loss | -7.5 M | -7.9 M | |
| Net Loss | (0.16) | (0.17) | |
| Net Income Per E B T | 0.79 | 1.10 |
Mobile | Net Income | Build AI portfolio with Mobile Stock |
Evaluating Mobile Infrastructure's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Mobile Infrastructure's fundamental strength.
Latest Mobile Infrastructure's Net Income Growth Pattern
Below is the plot of the Net Income of Mobile Infrastructure over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Mobile Infrastructure financial statement analysis. It represents the amount of money remaining after all of Mobile Infrastructure operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Mobile Infrastructure's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Mobile Infrastructure's overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported (8.38 M) | 10 Years Trend |
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Net Income |
| Timeline |
Mobile Net Income Regression Statistics
| Arithmetic Mean | (9,606,260) | |
| Coefficient Of Variation | (129.05) | |
| Mean Deviation | 8,954,287 | |
| Median | (5,447,925) | |
| Standard Deviation | 12,396,995 | |
| Sample Variance | 153.7T | |
| Range | 45.4M | |
| R-Value | (0.40) | |
| Mean Square Error | 137.9T | |
| R-Squared | 0.16 | |
| Significance | 0.11 | |
| Slope | (978,274) | |
| Total Sum of Squares | 2459T |
Mobile Net Income History
Other Fundumenentals of Mobile Infrastructure
| Net Income Applicable To Common Shares | ||
| Net Income From Continuing Ops | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Mobile Infrastructure Net Income component correlations
Mobile Net Income 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 Net Income. 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
Can Transportation Infrastructure industry sustain growth momentum? Does Mobile have expansion opportunities? Factors like these will boost the valuation of Mobile Infrastructure. Projected growth potential of Mobile fundamentally drives upward valuation adjustments. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Mobile Infrastructure demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Earnings Share (0.39) | Revenue Per Share | Quarterly Revenue Growth (0.07) | Return On Assets | Return On Equity |
Investors evaluate Mobile Infrastructure using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Mobile Infrastructure's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Mobile Infrastructure's market price to deviate significantly from intrinsic value.
It's important to distinguish between Mobile Infrastructure's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Mobile Infrastructure should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Mobile Infrastructure's market price signifies the transaction level at which participants voluntarily complete trades.
Mobile Infrastructure 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Mobile Infrastructure's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Mobile Infrastructure.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Mobile Infrastructure on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Mobile Infrastructure or generate 0.0% return on investment in Mobile Infrastructure over 90 days. Mobile Infrastructure is related to or competes with Comstock Holding, Orion Office, Alset Ehome, Franklin Street, AMREP, Sunrise Realty, and Granite Point. Mobile Infrastructure is entity of United States More
Mobile Infrastructure Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Mobile Infrastructure's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Mobile Infrastructure upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.17 |
Mobile Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mobile Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mobile Infrastructure's standard deviation. In reality, there are many statistical measures that can use Mobile Infrastructure historical prices to predict the future Mobile Infrastructure's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Infrastructure's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Mobile Infrastructure February 6, 2026 Technical Indicators
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| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | (0.09) | |||
| Mean Deviation | 2.96 | |||
| Coefficient Of Variation | (6,325) | |||
| Standard Deviation | 4.04 | |||
| Variance | 16.28 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.1) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.17 | |||
| Skewness | 0.1709 | |||
| Kurtosis | 0.7485 |
Mobile Infrastructure Backtested Returns
Currently, Mobile Infrastructure is unstable. Mobile Infrastructure has Sharpe Ratio of 0.0167, which conveys that the firm had a 0.0167 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Mobile Infrastructure, which you can use to evaluate the volatility of the firm. Please verify Mobile Infrastructure's Mean Deviation of 2.96, insignificant risk adjusted performance, and Standard Deviation of 4.04 to check out if the risk estimate we provide is consistent with the expected return of 0.0695%. Mobile Infrastructure has a performance score of 1 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.77, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mobile Infrastructure's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mobile Infrastructure is expected to be smaller as well. Mobile Infrastructure right now secures a risk of 4.15%. Please verify Mobile Infrastructure standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if Mobile Infrastructure will be following its current price movements.
Auto-correlation | -0.33 |
Poor reverse predictability
Mobile Infrastructure has poor reverse predictability. Overlapping area represents the amount of predictability between Mobile Infrastructure time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mobile Infrastructure price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Mobile Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Mobile Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Mobile Infrastructure reported net income of (8.38 Million). This is 103.23% lower than that of the Transportation Infrastructure sector and 103.03% lower than that of the Industrials industry. The net income for all United States stocks is 101.47% higher than that of the company.
Mobile Net Income 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 Net Income 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 net income 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.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Market Cap | 76.0M | 80.3M | 135.7M | 53.6M | 48.3M | 46.8M | |
| Enterprise Value | 231.1M | 275.6M | 349.7M | 235.4M | 211.9M | 150.1M |
Mobile Fundamentals
| Return On Equity | -0.0897 | ||||
| Return On Asset | 0.0018 | ||||
| Profit Margin | (0.42) % | ||||
| Operating Margin | 0.11 % | ||||
| Current Valuation | 333.38 M | ||||
| Shares Outstanding | 42.3 M | ||||
| Shares Owned By Insiders | 9.92 % | ||||
| Shares Owned By Institutions | 98.97 % | ||||
| Number Of Shares Shorted | 285.74 K | ||||
| Price To Book | 0.85 X | ||||
| Price To Sales | 3.71 X | ||||
| Revenue | 37.01 M | ||||
| Gross Profit | 20.91 M | ||||
| EBITDA | 13.85 M | ||||
| Net Income | (8.38 M) | ||||
| Total Debt | 213.16 M | ||||
| Book Value Per Share | 3.74 X | ||||
| Cash Flow From Operations | (784 K) | ||||
| Short Ratio | 3.54 X | ||||
| Earnings Per Share | (0.39) X | ||||
| Target Price | 6.17 | ||||
| Number Of Employees | 18 | ||||
| Beta | 0.55 | ||||
| Market Capitalization | 131.55 M | ||||
| Total Asset | 415.06 M | ||||
| Retained Earnings | (140.06 M) | ||||
| Working Capital | (13.6 M) | ||||
| Net Asset | 415.06 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
| 0.51 | PAC | Grupo Aeroportuario del | PairCorr |
| 0.47 | HYMTF | Hyundai Motor | PairCorr |
| 0.46 | CAAP | Corporacion America | PairCorr |
| 0.41 | SWZNF | Schweizerische Nationalbank | 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.