Nvidia stock trades near record territory as AI demand drives revenue and earnings higher

Nvidia stock has become one of the defining names of the artificial intelligence boom, with the US technology group (ISIN US67066G1040) posting explosive growth in revenue and earnings over the past fiscal year as demand for its data center GPUs surged worldwide. The company is listed on Nasdaq and has emerged as a cornerstone supplier for cloud platforms and enterprises building generative AI infrastructure, a dynamic that has lifted Nvidia's valuation into the ranks of the most valuable listed companies globally.

Revenue up more than twofold

According to Nvidia's investor relations materials for its most recent reported quarter in fiscal 2025, the company generated quarterly revenue of roughly $26.0 billion, compared with around $7.2 billion in the same quarter a year earlier, representing well over a tripling of sales in just twelve months. The bulk of this increase came from the data center segment, where demand for Nvidia's GPUs used to train and run large language models and other AI workloads has accelerated. This rapid top-line expansion underscores how central Nvidia has become to the current investment cycle in AI infrastructure.

On a full-year basis, Nvidia's fiscal 2025 revenue climbed sharply as well, rising from roughly $27.0 billion in the prior fiscal year to more than $60.0 billion, more than doubling year over year as hyperscale cloud providers, enterprise customers, and AI start-ups expanded their deployments of Nvidia's platforms. Data center revenue alone accounted for the majority of this total, highlighting that Nvidia's growth is being driven primarily by high-margin compute products rather than legacy segments. For investors, the scale of this revenue jump is a key indicator that AI investment is translating directly into Nvidia's financials.

The strength in revenue has been accompanied by a substantial improvement in profitability. Nvidia reported net income in its latest fiscal year of around $30.0 billion, up from the single-digit billions in the previous year, reflecting the combination of higher volume and premium pricing for advanced GPUs. Gross margin expanded materially as well, with recent quarterly gross margin reported above 70%, compared with levels closer to 65% a year earlier, as the mix shifted toward high-end data center products and software. Such margin expansion is particularly important because it suggests Nvidia is not only selling more units but also capturing a larger share of value per unit.

Data center segment drives earnings

Nvidia's data center segment has emerged as the primary engine of growth, overshadowing the once-core gaming business that originally popularized the company's GPUs. In the latest reported quarter, data center revenue reached around $22.0 billion, compared with approximately $4.2 billion in the year-ago period, an increase of roughly five times in just one year. This surge was driven by orders for Nvidia's H100 and related GPU products used in AI training clusters, as well as full-stack platforms combining hardware, networking, and software.

Gaming revenue, while still significant, grew at a more modest pace by comparison. In the same quarter, gaming revenue was reported at roughly $2.9 billion, up from around $2.2 billion in the prior-year quarter, indicating an increase of about 30% as demand for GeForce graphics cards improved alongside a broader recovery in the PC gaming market. This divergence between data center and gaming growth illustrates how Nvidia's business model has shifted toward enterprise and cloud customers, with gaming now playing a supporting rather than leading role in the overall growth story.

Nvidia's operating income has scaled alongside these segmental trends. In the latest quarter, operating income was reported at around $18.0 billion, up from roughly $1.8 billion a year earlier, a tenfold increase that reflects both top-line growth and operating leverage. Operating margin reached levels above 65%, compared with approximately 25% in the prior-year period, as fixed costs were spread over dramatically higher revenue. For shareholders, such operating leverage is a critical factor in justifying Nvidia's elevated valuation, since it indicates that incremental revenue is translating efficiently into profit.

Cash flow has also strengthened. Nvidia reported free cash flow in its most recent fiscal year of roughly $25.0 billion, compared with around $5.0 billion in the preceding year, a fivefold increase that gives the company flexibility to invest in new products, expand capacity, and return capital to shareholders. This cash generation has supported a growing dividend and share repurchase program, even as Nvidia continues to increase research and development spending to stay ahead in GPU architecture and AI software stacks.

Market capitalization in the trillion-dollar range

Reflecting these financial metrics, Nvidia's market capitalization has risen to well over $2.0 trillion as of recent trading days, placing the company alongside the largest US technology firms by equity value. This puts Nvidia in an exclusive group of mega-cap companies where small changes in performance or sentiment can move hundreds of billions of dollars in market value. The stock's inclusion in major indices such as the S&P 500 and the Nasdaq 100 further reinforces its importance for both passive and active investors.

Nvidia stock has also moved significantly within its own trading range over the past year. The shares reached a 52-week high above $900 per share, compared with a 52-week low near $400, illustrating how investors have re-rated the company as AI adoption has accelerated. At recent levels around $800 per share, Nvidia trades closer to its upper range, supported by the latest quarterly beats on revenue and earnings and continued strong guidance for coming quarters.

Valuation metrics mirror this performance. Based on the latest fiscal year earnings, Nvidia's trailing price-to-earnings ratio has been calculated in the range of 50 to 60 times, a premium to many other large-cap technology names but one that investors have been willing to pay given Nvidia's growth rates and central role in AI infrastructure. On a price-to-sales basis, the company trades at a multiple above 30 times its previous year's revenue but closer to the teens relative to its current annualized run rate, illustrating how rapid revenue expansion can compress valuation metrics even when the share price is high.

Analyst estimates have generally moved upward in response to Nvidia's recent results. Consensus forecasts for the next fiscal year now point to revenue of around $80.0 billion, up from the approximately $60.0 billion just reported, implying expected growth of about one third year over year. Earnings per share are similarly projected to increase, with some estimates pointing to EPS above $20.00, compared with reported EPS in the mid-teens in the latest fiscal year. These expectations underline that the market is still pricing in substantial further expansion rather than assuming the current level of demand is a peak.

AI platforms and GPU products

Nvidia's recent financial performance is closely tied to its flagship AI platforms, especially the H100 and A100 GPU families that underpin training and inference for many large language models and generative AI services. These GPUs are deployed in dense server configurations and connected by high-speed networking to form clusters that can process vast amounts of data. Nvidia pairs these chips with its CUDA software ecosystem and frameworks like TensorRT, making it easier for developers and enterprises to harness the hardware's capabilities.

The company's platform strategy extends beyond individual chips to full systems such as the DGX line, which bundles GPUs, CPUs, storage, and networking in turnkey configurations. Demand for DGX systems has increased as organizations seek to deploy AI workloads without having to design infrastructure from scratch. Nvidia's focus on end-to-end platforms rather than standalone components helps entrench its position, because customers often standardize on its stack for both hardware and software.

In addition to data center products, Nvidia continues to refine its GeForce gaming GPUs, which remain popular among PC gamers for high-resolution and ray-traced graphics. The latest GeForce RTX series delivers significant performance improvements versus prior generations, and features such as DLSS (Deep Learning Super Sampling) use AI to upscale images and improve frame rates. While gaming now contributes a smaller share of total revenue than in the past, it remains an important part of Nvidia's brand and innovation pipeline.

Shares near recent highs

Nvidia stock has been trading close to recent highs, with the share price around $800 as of the latest available Nasdaq quote, compared with roughly $450 a year earlier. This implies a gain of around 78% over twelve months, a performance that reflects both the company's earnings growth and investor enthusiasm for AI-related names. The stock's strong run has drawn attention to its volatility, since large daily moves can occur when expectations for AI demand or competitive dynamics shift.

For institutional investors, Nvidia's index membership and liquidity make it a key component of technology and growth portfolios. The company's weighting in the Nasdaq 100 and the S&P 500 means that broad index performance can be influenced by its share price moves, especially on days when Nvidia reports earnings or issues guidance. Retail investors likewise follow Nvidia closely given its visibility in the AI narrative and the potential impact of new product announcements.