Mobile Net Income From Continuing Ops from 2010 to 2026

MNDR Stock   0.92  0.04  4.17%   
Mobile Health Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to grow to about -13.3 M this year. During the period from 2010 to 2026, Mobile Health Net Loss destribution of quarterly values had range of 15.7 M from its regression line and mean deviation of  4,995,858. View All Fundamentals
 
Net Loss  
First Reported
2010-12-31
Previous Quarter
-14 M
Current Value
-13.3 M
Quarterly Volatility
6.1 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
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.
  
Build AI portfolio with Mobile Stock
Check out the analysis of Mobile Health Correlation against competitors.
Evaluating Mobile Health's Net Income From Continuing Ops 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 Net Income From Continuing Ops Growth Pattern

Below is the plot of the Net Income From Continuing Ops of Mobile health Network Solutions over the last few years. It is Mobile Health's Net Loss 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.
Net Income From Continuing Ops10 Years Trend
Slightly volatile
   Net Income From Continuing Ops   
       Timeline  

Mobile Net Income From Continuing Ops Regression Statistics

Arithmetic Mean(4,030,922)
Geometric Mean1,284,229
Coefficient Of Variation(151.97)
Mean Deviation4,995,858
Median(619,685)
Standard Deviation6,125,709
Sample Variance37.5T
Range15.7M
R-Value(0.75)
Mean Square Error17.8T
R-Squared0.56
Significance0.0006
Slope(903,866)
Total Sum of Squares600.4T

Mobile Net Income From Continuing Ops History

2026-13.3 M
2025-14 M
2023-15.6 M
2022-3.2 M
202192.7 K

About Mobile Health Financial Statements

Mobile Health shareholders use historical fundamental indicators, such as Net Income From Continuing Ops, 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 ReportedProjected for Next Year
Net Loss-14 M-13.3 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 together with Mobile Stock

  0.64S00 Spire HealthcarePairCorr

Moving against Mobile Stock

  0.7NPTH NeuPath HealthPairCorr
  0.64AHX Apiam Animal HealthPairCorr
  0.58EHAB EnhabitPairCorr
  0.44DR Medical FacilitiesPairCorr
  0.4AGL agilon healthPairCorr
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.
Pair CorrelationCorrelation Matching

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.