Mobile Operating Income from 2010 to 2026
| MNDR Stock | 0.91 0.02 2.15% |
Operating Income | First Reported 2010-12-31 | Previous Quarter -2.4 M | Current Value -2.5 M | Quarterly Volatility 3.7 M |
Check Mobile Health financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Mobile Health's main balance sheet or income statement drivers, such as Net Interest Income of 0.0, Depreciation And Amortization of 102.6 K or Interest Expense of 0.0, as well as many indicators such as Price To Sales Ratio of 0.18, Dividend Yield of 0.0 or PTB Ratio of 0.44. Mobile financial statements analysis is a perfect complement when working with Mobile Health Valuation or Volatility modules.
Mobile | Operating Income | Build AI portfolio with Mobile Stock |
Evaluating Mobile Health's Operating 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 health Network Solutions's fundamental strength.
Latest Mobile Health's Operating Income Growth Pattern
Below is the plot of the Operating Income of Mobile health Network Solutions over the last few years. Operating Income is the amount of profit realized from Mobile health Network operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Mobile health Network Solutions is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Mobile Health's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Mobile Health's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Mobile Operating Income Regression Statistics
| Arithmetic Mean | (1,800,268) | |
| Geometric Mean | 818,398 | |
| Coefficient Of Variation | (203.40) | |
| Mean Deviation | 1,950,091 | |
| Median | (474,860) | |
| Standard Deviation | 3,661,716 | |
| Sample Variance | 13.4T | |
| Range | 15.8M | |
| R-Value | (0.42) | |
| Mean Square Error | 11.8T | |
| R-Squared | 0.18 | |
| Significance | 0.09 | |
| Slope | (304,645) | |
| Total Sum of Squares | 214.5T |
Mobile Operating Income History
About Mobile Health Financial Statements
Mobile Health shareholders use historical fundamental indicators, such as Operating Income, to determine how well the company is positioned to perform in the future. Although Mobile Health investors may analyze each financial statement separately, they are all interrelated. The changes in Mobile Health's assets and liabilities, for example, are also reflected in the revenues and expenses on on Mobile Health's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Operating Income | -2.4 M | -2.5 M |
Pair Trading with Mobile Health
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 Health 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 Health will appreciate offsetting losses from the drop in the long position's value.Moving against Mobile Stock
| 0.53 | NPTH | NeuPath Health | PairCorr |
| 0.5 | X34 | ENHABIT INC DL Earnings Call Tomorrow | PairCorr |
| 0.47 | GD6 | Ramsay Gnrale de | PairCorr |
| 0.41 | CI | Cigna Corp | PairCorr |
| 0.33 | ANCR | Animalcare Group Plc | PairCorr |
The ability to find closely correlated positions to Mobile Health 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 Health 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 Health - 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 health Network Solutions to buy it.
The correlation of Mobile Health 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 Health moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mobile health Network 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 Health 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 Health's price analysis, check to measure Mobile Health'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 Health is operating at the current time. Most of Mobile Health's value examination focuses on studying past and present price action to predict the probability of Mobile Health'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 Health's price. Additionally, you may evaluate how the addition of Mobile Health to your portfolios can decrease your overall portfolio volatility.