CNH Industrial N.V. (0QGU.L)
| Previous close | 11.56 |
| Open | 11.41 |
| Bid | N/A x N/A |
| Ask | N/A x N/A |
| Day's range | 11.41 - 11.64 |
| 52-week range | 11.41 - 11.64 |
| Volume | |
| Avg. volume | N/A |
| Market cap | N/A |
| Beta (5Y monthly) | 1.70 |
| PE ratio (TTM) | N/A |
| EPS (TTM) | N/A |
| Earnings date | N/A |
| Forward dividend & yield | N/A (N/A) |
| Ex-dividend date | N/A |
| 1y target est | N/A |
- GlobeNewswire
CNH Industrial N.V. Reports First Quarter 2024 Results
First quarter consolidated revenue declined 10% on lower industry demand First quarter diluted EPS at $0.31; adjusted diluted EPS at $0.33 ($0.35 in the first quarter of 2023) First quarter Agriculture segment adjusted EBIT margin down 200 bps year-over-year to 12.5%; Construction up 150 bps to 6.7% Cost reduction programs on track, helping to mitigate impact of slowing markets Full-year guidance updated to reflect lower agriculture industry projections Basildon, UK - May 2, 2024 - CNH Industria
- GlobeNewswire
CNH is changing its NYSE ticker symbol to “CNH” on May 20
Basildon, May 1, 2024 CNH Industrial (NYSE: CNHI) announces that the Company’s common shares listed on the New York Stock Exchange (NYSE) will begin trading under the symbol “CNH” effective Monday, May 20, 2024. This will replace the Company’s current ticker symbol, “CNHI”, marking a return to both our original ticker symbol “CNH” – used until 2013 – and our identity as a leading pureplay provider of equipment, technology and services for agriculture and construction. CNH Industrial N.V. will re
- GlobeNewswire
CNH kicks off A Sustainable Year series with a focus on AI
ASY image Member of the team in San Matteo, Italy, working on the XMANAI (eXplainable MANufacturing AI) Project. CNH kicks off A Sustainable Year series with a focus on AI Basildon, April 30, 2024 Today, CNH announces the first in a series of stories to be featured in its latest A Sustainable Year magazine. The annual publication promotes the company’s innovation and sustainability initiatives. The first story explains how humans can learn to trust the recommendations of artificial intelligence
