Surging Success: NVIDIA’s Incredible Q4 Results
NVIDIA just published its financial results for the fourth quarter of its last fiscal year, stunning Wall Street with eye-popping figures. Revenues reached $68.1 billion, while net profit nearly doubled compared to the same period last year. The forecast for the next quarter has also far exceeded analysts’ expectations, demonstrating resilience even as more efficient AI models and alternatives enter the market. The demand for chips shows no signs of slowing down.
NVIDIA’s Astonishing Growth
To put NVIDIA’s growth into perspective, only a few companies in history have exceeded $100 billion in annual profit. Alphabet, Microsoft, and Apple are among this elite club. NVIDIA has just joined them with a staggering $120 billion in profits over the last twelve months. Remarkably, just three years ago, its annual profit was only $4.4 billion. This unprecedented growth trajectory sets NVIDIA apart as one of the fastest-growing technology companies in history.
The AI Engine Driving Profits
The primary driver of NVIDIA’s profits is its data center business, which generated $62.3 billion in the quarter, reflecting a remarkable 71% increase compared to the previous year. Notably, revenue from their Blackwell chips rose from $32.6 billion to $51.3 billion, while networks such as NVLink, Spectrum-X, and InfiniBand grew from $3 billion to $11 billion. Gross margins hover around an impressive 75%, contributing to earnings per share that nearly doubled to $1.76 in GAAP terms.
Insights from CEO Jensen Huang
In a recent earnings call with investors, CEO Jensen Huang emphasized the critical link between computing power and revenue generation: “Without computing, there is no way to generate tokens. Without tokens, there is no way to grow revenue.” Major cloud service providers, including Google, Amazon, and Microsoft, are significantly increasing their capital expenditure budgets, expected to exceed $500 billion by 2026, primarily for building AI data centers. NVIDIA stands to benefit immensely from this trend.
Adaptability in a Competitive Landscape
DeepSeek’s Impact on Chip Demand
The emergence of the Chinese DeepSeek model in early 2025 initially sent shockwaves through the market, raising questions about the need for chip demand in an increasingly efficient AI landscape. However, NVIDIA’s results reveal a different story: efficiency does not diminish infrastructure demand; it amplifies it. Improvements in inference efficiency lower the cost per token, encouraging businesses to deploy more AI applications, thereby increasing the need for computational power.
The Rise of Agentic AI
Huang pointed out that “enterprise adoption of agents is skyrocketing,” as AI agents capable of autonomous decision-making require significantly more inference cycles than traditional chatbots. This represents the next front in AI evolution, putting NVIDIA in a prime position to capitalize on this emerging market.
NVIDIA: Challenges Ahead
Regulatory Uncertainty and Competitive Landscape
Despite these achievements, NVIDIA isn’t without challenges. Its forecast for the next quarter is $78 billion but does not account for potential revenue from China. The company has only generated around $60 million from sales of its H20 chips since the Trump administration’s revisions allowing certain sales in August 2025. Furthermore, competitors like AMD and Google are making strides in the market. Nonetheless, Huang remains optimistic, asserting, “Every company depends on software, and all software will depend on AI.” As long as this holds true, NVIDIA is likely to maintain its competitive edge and continue thriving.