First Graphene (Germany) Today

First Stock Highlights

First Graphene Historical Income Statement

At this time, First Graphene's Reconciled Depreciation is most likely to increase significantly in the upcoming years. The First Graphene's current Total Revenue is estimated to increase to about 599.5 K, while Selling General Administrative is projected to decrease to roughly 3.9 M. View More Fundamentals

First Stock Against Markets

First Stock Analysis Notes

About 21.0% of the company outstanding shares are owned by corporate insiders. The company had not issued any dividends in recent years. First Graphene Limited develops and produces high technology graphene materials in Sri Lanka. The company was formerly known as First Graphite Limited and changed its name to First Graphene Limited in November 2017. First Graphene operates under Industrial Metals Minerals classification in Germany and is traded on Frankfurt Stock Exchange. It employs 44 people. To find out more about First Graphene contact Michael Bell at 61 1300 660 448 or learn more at https://www.firstgraphene.net.

First Graphene Investment Alerts

First Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 42.27 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate First Graphene's market, we take the total number of its shares issued and multiply it by First Graphene'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.

First Profitablity

Management Efficiency

First Graphene has return on total asset (ROA) of (0.3116) % which means that it has lost $0.3116 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of (1.1411) %, meaning that it generated substantial loss on money invested by shareholders. First Graphene's management efficiency ratios could be used to measure how well First Graphene manages its routine affairs as well as how well it operates its assets and liabilities. The current Return On Tangible Assets is estimated to decrease to -0.82. The current Return On Capital Employed is estimated to decrease to -1.31. At this time, First Graphene's Total Current Assets are most likely to increase significantly in the upcoming years. The First Graphene's current Debt To Assets is estimated to increase to 0.36, while Non Currrent Assets Other are projected to decrease to roughly 2.4 M.

Technical Drivers

As of the 3rd of February, First Graphene shows the Mean Deviation of 5.34, downside deviation of 6.25, and Coefficient Of Variation of 7271.62. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of First Graphene, as well as the relationship between them. Please confirm First Graphene information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if First Graphene is priced favorably, providing market reflects its regular price of 0.0498 per share.

First Graphene Price Movement Analysis

First Graphene Outstanding Bonds

First Graphene Predictive Daily Indicators

First Graphene Forecast Models

First Graphene's time-series forecasting models are one of many First Graphene'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 First Graphene'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.