Tekla Healthcare Investors Stock Analysis

Tekla Stock Analysis Notes

About 24.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.86. Some equities with similar Price to Book (P/B) outperform the market in the long run. Tekla Healthcare Inv last dividend was issued on the 21st of February 2025. Tekla Healthcare Investors is a closed-ended equity mutual fund launched and managed by Tekla Capital Management LLC. Tekla Healthcare Investors was formed on October 31, 1986 and is domiciled in the United States. Tekla Healthcare operates under Asset Management classification in the United States and is traded on New York Stock Exchange. To learn more about Tekla Healthcare Investors call Daniel Omstead at 215 405 5700 or check out https://www.teklacap.com/hqh.html.

Tekla Healthcare Inv Investment Alerts

Tekla Market Capitalization

The company currently falls under 'Small-Cap' category with a total capitalization of 906.02 M.

Tekla Profitablity

The company has Net Profit Margin of 17.17 %, which may imply that it executes well on its competitive polices and has reasonable control over its expenses and variable costs. This is very large. In the same way, it shows Net Operating Margin of (0.03) %, which entails that for every $100 of revenue, it lost $0.03.

Technical Drivers

As of the 26th of February, Tekla Healthcare has the Coefficient Of Variation of 2799.68, risk adjusted performance of 0.0295, and Semi Deviation of 1.03. Tekla Healthcare technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.

Tekla Healthcare Inv Price Movement Analysis

Tekla Healthcare Inv Insider Trading Activities

Tekla Healthcare Outstanding Bonds

Tekla Healthcare Predictive Daily Indicators

Tekla Healthcare Forecast Models

Tekla Healthcare's time-series forecasting models are one of many Tekla Healthcare'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 Tekla Healthcare'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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Tekla Healthcare 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 Tekla 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 Tekla Healthcare. By using and applying Tekla Stock analysis, traders can create a robust methodology for identifying Tekla entry and exit points for their positions.

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