Health In Tech Stock Analysis

Health Stock Analysis Notes

About 70.0% of the company shares are held by company insiders. The company last dividend was issued on the September 28, 2011. Hitachi, Ltd. manufactures and sells electronic and electrical solutions primarily in Asia, North America, and Europe. To learn more about Health In Tech call Tim Johnson at 888 373 0333 or check out https://healthintech.com.

Health In Tech Investment Alerts

Health Market Capitalization

The company currently falls under 'Micro-Cap' category with a total capitalization of 95.04 M.

Health Profitablity

The company has Net Profit Margin of 0.05 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.06 %, which entails that for every 100 dollars of revenue, it generated $0.06 of operating income.

Management Efficiency

Health In Tech has Return on Asset of 0.0533 % which means that on every $100 spent on assets, it made $0.0533 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.1194 %, implying that it generated $0.1194 on every 100 dollars invested. Health In's management efficiency ratios could be used to measure how well Health In manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Health In's Return On Tangible Assets are comparatively stable compared to the past year. Return On Assets is likely to gain to 0.07 in 2026, whereas Return On Capital Employed is likely to drop 0.06 in 2026. Liabilities And Stockholders Equity is likely to gain to about 14.9 M in 2026, whereas Total Current Liabilities is likely to drop slightly above 1.8 M in 2026.

Technical Drivers

As of the 9th of January, Health In retains the risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (0.71). Health In technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.

Health In Tech Price Movement Analysis

Health In Tech Insider Trading Activities

Health In Outstanding Bonds

Health In Predictive Daily Indicators

Health In Forecast Models

Health In's time-series forecasting models are one of many Health In's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Health In's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Health In Bond Ratings

Health In Tech financial ratings play a critical role in determining how much Health In have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Health In's borrowing costs.

Health In Tech Debt to Cash Allocation

Health In Tech has 206.69 K in debt with debt to equity (D/E) ratio of 1.14, which is OK given its current industry classification. Health In Tech has a current ratio of 1.15, demonstrating that it is not liquid enough and may have problems paying out its financial commitments when the payables are due. Note however, debt could still be an excellent tool for Health to invest in growth at high rates of return.

Health In Total Assets Over Time

Health In Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Health In uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Health In Debt Ratio

1.12

It appears most of the Health In's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Health In's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Health In, which in turn will lower the firm's financial flexibility.

Health In Corporate Bonds Issued

Health Short Long Term Debt Total

Stock analysis is the technique used by a trader or investor to examine and evaluate how Health In prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Health shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Health In. By using and applying Health Stock analysis, traders can create a robust methodology for identifying Health entry and exit points for their positions.

When running Health In's price analysis, check to measure Health In'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 Health In is operating at the current time. Most of Health In's value examination focuses on studying past and present price action to predict the probability of Health In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Health In's price. Additionally, you may evaluate how the addition of Health In to your portfolios can decrease your overall portfolio volatility.