-
1 Comment
GFT Technologies SE is currently in a long term uptrend where the price is trading 46.2% above its 200 day moving average.
From a valuation standpoint, the stock is 93.4% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.9.
GFT Technologies SE's total revenue sank by 6.2% to $106M since the same quarter in the previous year.
Its net income has dropped by 0.3% to $4M since the same quarter in the previous year.
Finally, its free cash flow grew by 144.2% to $29M since the same quarter in the previous year.
Based on the above factors, GFT Technologies SE gets an overall score of 3/5.
ISIN | DE0005800601 |
---|---|
Sector | Technology |
Industry | Information Technology Services |
Exchange | F |
CurrencyCode | EUR |
Target Price | 34.1 |
---|---|
Market Cap | 611M |
Beta | 1.53 |
PE Ratio | 12.99 |
Dividend Yield | 2.1% |
GFT Technologies SE, together with its subsidiaries, provides digital transformation services. The company operates in two segments in the Americas, the UK & APAC; and Continental Europe. It offers digital transformation consulting; the implementation of bespoke IT solutions; and proprietary software-based solutions such as a cloud-capable IoT platform and a real-time project management solution. The company also provides Engenion, an AI-powered project portfolio management platform. It serves clients in investment and retail banking, insurance, and industrial sectors. GFT Technologies SE was founded in 1987 and is headquartered in Stuttgart, Germany.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GFT.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025