Nvidia Beats Q4 Estimates
Nvidia beat analyst expectations for its fourth-quarter earnings, driven by strong demand for its AI chips and data center solutions. The company also forecasted strong sales for the upcoming first quarter, signaling continued momentum. Despite the positive results, some Wall Street analysts are now pressing the company to return more of its growing cash reserves to shareholders via dividends and buybacks.
- The company's Data Center revenue reached a record $62.3 billion, a 75% increase year-over-year, now accounting for over 90% of Nvidia's total revenue. This growth was driven by the adoption of its Hopper and Blackwell architecture chips by major cloud providers and enterprises for AI training and inference. - Gaming revenue, once Nvidia's core business, grew 47% year-over-year to $3.7 billion, though it was down 13% from the previous quarter due to seasonal demand changes. The company has warned of potential supply constraints in the gaming segment for the upcoming fiscal year. - In fiscal year 2026, Nvidia returned $41.1 billion to shareholders through stock buybacks and dividends. The company still has $58.5 billion remaining under its current share repurchase authorization. - CEO Jensen Huang highlighted the "agentic AI inflection point" as a key driver of demand, stating that "compute equals revenues" in the new AI era. He also unveiled the upcoming "Vera Rubin" platform, which is expected to further extend the company's leadership in AI inference technology. - Following the earnings announcement, Nvidia's stock saw a modest increase of about 1.57% in after-hours trading, a reaction analysts described as more of relief than shock, as the company met high market expectations. - The company's gross margin for the quarter was an impressive 75%. For the upcoming first quarter, Nvidia projects revenue of approximately $78 billion, which would mark another record. - While Nvidia dominates the AI accelerator market with an estimated 80-90% share, it faces growing competition from rivals like AMD with its Instinct MI300 series and Intel with its Gaudi accelerators. Additionally, major customers like Google, Amazon, and Microsoft are developing their own custom AI chips in-house.
