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Dassault Systèmes SE (DASTF)
| Previous close | 40.88 |
| Open | 40.41 |
| Bid | 0.00 x 0 |
| Ask | 0.00 x 0 |
| Day's range | 39.60 - 40.55 |
| 52-week range | 31.50 - 52.79 |
| Volume | |
| Avg. volume | 10,033 |
| Market cap | 53.283B |
| Beta (5Y monthly) | 0.67 |
| PE ratio (TTM) | 16.10 |
| EPS (TTM) | N/A |
| Earnings date | N/A |
| Forward dividend & yield | 0.18 (0.44%) |
| Ex-dividend date | 23 May 2022 |
| 1y target est | N/A |
- Business Wire
European Space Agency and Dassault Systèmes Sign Letter of Intent to Support Space Startups and Entrepreneurship across Europe
VELIZY-VILLACOUBLAY, France, March 08, 2023--Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) (Paris:DSY) and the European Space Agency today announced the signature of a letter of intent to support the European community for innovation in the "new space" sector – commercialization of space driven by private companies. The announcement was made today during the "New Space Networking" event held at Dassault Systèmes’ headquarters in France to kick off Paris Space Week.
- Business Wire
Dassault Systèmes’ 3DEXPERIENCE World 2023: Connecting Emotion, Innovation and Creation for a More Sustainable World
VELIZY-VILLACOUBLAY, France, February 10, 2023--Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) (Paris:DSY) today announced that 3DEXPERIENCE World 2023, its annual event dedicated to the 3DEXPERIENCE Works and SOLIDWORKS community, will gather thousands of designers, engineers, entrepreneurs, makers and business leaders in Nashville, Tennessee February 12-15 to learn, imagine, celebrate and collaborate. More than 10,000 people are expected to attend the event on-site and online.
- Business Wire
Dassault Systèmes Developed a New Data Science Solution to Allow Renault Group to Optimize Vehicle Costs
VELIZY-VILLACOUBLAY, France, February 02, 2023--Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) today announced that Renault Group is leveraging the data science capabilities of Dassault Systèmes’ 3DEXPERIENCE platform to understand the increase of raw material prices and model the most relevant optimization scenarios to reduce the impact on vehicle production costs.
