Viscofan (Spain) Analysis

Viscofan Stock Analysis Notes

About 60.0% of the company outstanding shares are owned by institutional investors. The book value of Viscofan was at this time reported as 20.73. The company last dividend was issued on the 20th of December 2022. Viscofan had 2:1 split on the 15th of March 1999. Viscofan, S.A., together with its subsidiaries, manufactures and distributes artificial casings primarily for use in the meat industry worldwide. Viscofan, S.A. was incorporated in 1975 and is headquartered in Tajonar, Spain. VISCOFAN S operates under Packaging Containers classification in Spain and is traded on Madrid SE C.A.T.S.. It employs 5101 people. For more information please call Jose Garcia at 34 948 19 84 44 or visit https://www.viscofan.com.

Viscofan Investment Alerts

Viscofan Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 2.76 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Viscofan's market, we take the total number of its shares issued and multiply it by Viscofan's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Viscofan Profitablity

The company has Profit Margin (PM) of 0.12 %, 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 0.16 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.16.

Technical Drivers

As of the 21st of July, Viscofan has the Variance of 1.23, coefficient of variation of (877.41), and Risk Adjusted Performance of (0.10). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Viscofan, as well as the relationship between them.

Viscofan Price Movement Analysis

Viscofan Outstanding Bonds

Viscofan Predictive Daily Indicators

Viscofan Forecast Models

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

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