Scantech Ai Systems Stock Analysis

ScanTech Stock Analysis Notes

About 27.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 3.08. ScanTech AI Systems last dividend was issued on the 26th of October 2010. The entity had 1:20 split on the 16th of December 2025. Systems Technology Associates, Inc. provides a range of systems integration services in the United States. The company was founded in 1994 and is based in Cleveland, Ohio. Systems Technology is traded on BATS Exchange in USA. To find out more about ScanTech AI Systems contact Dolan Falconer at 470-655-0886 or learn more at https://www.scantechais.com.

ScanTech AI Systems Investment Alerts

ScanTech Environmental, Social, and Governance (ESG) Scores

ScanTech Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 13.12 M.

ScanTech Profitablity

Management Efficiency

ScanTech AI Systems has return on total asset (ROA) of (4.5989) % which means that it has lost $4.5989 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.3369 %, meaning that it created $0.3369 on every $100 dollars invested by stockholders. ScanTech's management efficiency ratios could be used to measure how well ScanTech 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 -0.01. The ScanTech's current Return On Capital Employed is estimated to increase to -0.0042. The ScanTech's current Net Tangible Assets is estimated to increase to about 2.1 M, while Total Assets are projected to decrease to under 1.5 M.

Technical Drivers

As of the 25th of December, ScanTech has the Variance of 111.61, coefficient of variation of (1,294), and Risk Adjusted Performance of (0.04). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of ScanTech AI Systems, as well as the relationship between them.

ScanTech AI Systems Price Movement Analysis

ScanTech AI Systems Insider Trading Activities

ScanTech Outstanding Bonds

ScanTech Predictive Daily Indicators

ScanTech Forecast Models

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

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