"US revenue declined by (19)% on an organic basis with softness in Media revenue as a result of greater concentration in the consumer technology verticals as well being less advanced on the execution of the strategy in comparison to the UK business."
What does this mean to the layman? That's a loss of a fifth of the US business. That's quite savage
Shares were trading at 50 pounds per share in 2019, how did the market get that sort of valuation back then? maybe lack of opportunities in the market. In 2022 pretax profit were 25% higher and the share price is now 25% lower.
Difference is that IQE is speculative, they need to show a strong potential to place their compound semiconductors in the market, and show that through sales agreements, not jus showcasing the technology.
Had Unilever lost its marbles when it offered 50 billions pounds for a company with £20B long term liabilities and was GSK so foolish to turn it down? Haleon has to rise 70% to match that offer. Good luck to all the investors. Jope should have been given the boot to come up with that offer.
On the other hand Unilever is regretting turning down a takeover offer for £40 pounds per share when after 5-6 years it is struggling to stay above £40 per share. Crazy times.
The people in Unilever are the same, what changed is the top management and the reshuffle in the management.
I cant wait to see what the strategy will bring about. I am not surprised Unilever suffered from volume declines in Europe, the price hikes were brutal. A pack of 4 magnums sells for £1.60 more than the supermarkets own labels
Wiscos, I doubt its a market makers thing. The market is undervaluing lots of business, especially those with lack of visibility on long term prospects
NVIDIA (NVDA) has launched its next-generation of AI supercomputer chips that will likely play a large role in future breakthroughs in deep learning and large language models (LLMs) like OpenAI's GPT-4, the company announced. The technology represents a significant leap over the last generation and is poised to be used in data centers and supercomputers — working on tasks like weather and climate prediction, drug discovery, quantum computing and more.