This previous yr was one other terrific one for know-how shares particularly. Tailwinds pushed by synthetic intelligence (AI) helped push the S&P 500 increased by 23%, whereas the Nasdaq Composite gained a formidable 29%.
The “Magnificent Seven” shares had been among the many yr’s prime gainers out there, and maybe no different garnered extra consideration than semiconductor chief Nvidia — which was the top-performing inventory within the Dow Jones Industrial Common in 2024.
Final yr, Nvidia gained roughly $2.1 trillion in market capitalization — the best of any firm. This propelled Nvidia to develop into one of many world’s most dear companies. Whereas Nvidia’s present run may counsel that the inventory is due for a pullback, Wedbush Securities know-how analyst Dan Ives is asking for considerably extra progress forward for the AI darling — and I agree.
Let’s take a look at Nvidia’s newest catalysts and make the case for why 2025 might be one other one for the report books.
During the last two years, Nvidia has emerged because the chief of the pack within the AI marathon, and all of it boils down to 1 factor: graphics processing models (GPUs). GPUs are superior chipsets essential for growing generative AI purposes.
Nvidia’s deep roster of GPUs has helped the corporate separate from rivals akin to Superior Micro Units, and purchase an estimated 90% of the GPU market.
So as to add some context right here, Nvidia’s dominance has fueled constant income and revenue progress for the corporate — permitting it to double down on analysis and growth (R&D) and pioneer even newer, modern merchandise. Enter Blackwell, Nvidia’s next-generation GPU structure, which is reportedly already offered out for the following 12 months.
Whereas that is extra of a company-specific tailwind, Ives believes that broader investments in AI infrastructure may eclipse $1 trillion within the coming years. Nvidia is profiting from this windfall of rising capital expenditure (capex), underscored by investments in European GPU cluster specialist Nebius, and the acquisition of AI infrastructure enterprise Run:ai (which it acquired for a reported $700 million).
Given the large rise in Nvidia’s inventory worth, it is a prudent thought to have a look at among the firm’s valuation metrics and cross-reference them in opposition to the catalysts I’ve lined above.
Valuation Metric
Worth as of Jan. 3
Worth-to-earnings (P/E) ratio
56.7
Ahead P/E ratio
48.8
Worth-to-free money stream (P/FCF)
63.4
Worth/earnings-to-growth (PEG) ratio
1.0
Information supply: YCharts.
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