Mobile Operating Cycle from 2010 to 2026
| MNDR Stock | 0.95 0.03 3.26% |
Operating Cycle | First Reported 2010-12-31 | Previous Quarter 32.41 | Current Value 29.01 | Quarterly Volatility 18.90391428 |
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 Cycle | Build AI portfolio with Mobile Stock |
Evaluating Mobile Health's Operating Cycle 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 Cycle Growth Pattern
Below is the plot of the Operating Cycle of Mobile health Network Solutions over the last few years. It is Mobile Health's Operating Cycle 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 Cycle | 10 Years Trend |
|
Operating Cycle |
| Timeline |
Mobile Operating Cycle Regression Statistics
| Arithmetic Mean | 46.27 | |
| Geometric Mean | 40.83 | |
| Coefficient Of Variation | 40.86 | |
| Mean Deviation | 16.90 | |
| Median | 59.33 | |
| Standard Deviation | 18.90 | |
| Sample Variance | 357.36 | |
| Range | 49.3459 | |
| R-Value | (0.76) | |
| Mean Square Error | 162.48 | |
| R-Squared | 0.57 | |
| Significance | 0.0004 | |
| Slope | (2.84) | |
| Total Sum of Squares | 5,718 |
Mobile Operating Cycle History
About Mobile Health Financial Statements
Mobile Health shareholders use historical fundamental indicators, such as Operating Cycle, 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 Cycle | 32.41 | 29.01 |
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
Moving against Mobile Stock
| 0.68 | NPTH | NeuPath Health | PairCorr |
| 0.62 | AHX | Apiam Animal Health | PairCorr |
| 0.58 | EHAB | Enhabit | PairCorr |
| 0.42 | DR | Medical Facilities | PairCorr |
| 0.41 | AGL | agilon health | 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.