Kamada Stock Analysis

Kamada Stock Analysis Notes

About 49.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.22. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Kamada had not issued any dividends in recent years. It operates in two segments, Proprietary Products and Distribution. The company was incorporated in 1990 and is headquartered in Rehovot, Israel. Kamada operates under Drug ManufacturersSpecialty Generic classification in the United States and is traded on NASDAQ Exchange. It employs 355 people. To find out more about Kamada contact the company at 972 8 940 6472 or learn more at https://www.kamada.com.

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Kamada Environmental, Social, and Governance (ESG) Scores

Kamada Stock Institutional Investors

Note, although Kamada's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Kamada Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 341.43 M.

Kamada Profitablity

The company has Profit Margin (PM) of 0.08 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.11 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.11.

Management Efficiency

Kamada has return on total asset (ROA) of 0.0262 % which means that it generated a profit of $0.0262 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.059 %, meaning that it created $0.059 on every $100 dollars invested by stockholders. Kamada's management efficiency ratios could be used to measure how well Kamada manages its routine affairs as well as how well it operates its assets and liabilities. The current year's Return On Tangible Assets is expected to grow to 0.04. The current year's Return On Capital Employed is expected to grow to 0.04. At present, Kamada's Total Assets are projected to increase significantly based on the last few years of reporting. The current year's Non Current Assets Total is expected to grow to about 192.6 M, whereas Non Currrent Assets Other are forecasted to decline to about 480.5 K.

Technical Drivers

As of the 26th of July, Kamada secures the Mean Deviation of 1.94, downside deviation of 2.25, and Risk Adjusted Performance of 0.078. Kamada technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices.

Kamada Price Movement Analysis

Kamada Outstanding Bonds

Kamada Predictive Daily Indicators

Kamada Corporate Filings

Kamada Forecast Models

Kamada's time-series forecasting models are one of many Kamada'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 Kamada'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 Kamada 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 Kamada 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 Kamada. By using and applying Kamada Stock analysis, traders can create a robust methodology for identifying Kamada entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Kamada analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Kamada analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Kamada stock analysis indicators help investors evaluate how Kamada stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Kamada shares will generate the highest return on investment. By understating and applying Kamada stock analysis, traders can identify Kamada position entry and exit signals to maximize returns.

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