Nvidia’s AI Chips Drive Massive 80% Revenue Growth

The latest earnings report from chipmaker Nvidia surprised Wall Street with a revenue increase of about 80% year-on-year, driven by sales of AI-focused microchips.

Nvidia’s financial report for the 2025 fiscal year and fourth quarter, released on February 26th, shows that quarterly revenue reached $39.3 billion. This marks a 12% increase from the previous quarter and a 78% rise compared to the same period last year. The quarter ended on January 26th.

According to Zacks Investment Research, Wall Street had predicted a much lower sales of $37.72 billion, but the company’s 89 cents in earnings per share were more than expected.

During an earnings call, Jensen Huang, founder and CEO of Nvidia, attributed the increase in earnings to the “amazing” demand for the company’s microprocessor Blackwell, which is built for artificial intelligence, machine learning, and high-performance computing.

“AI is advancing at light speed as agentic AI and physical AI set the stage for the next wave of AI to revolutionize the largest industries.”

Over 90% of Nvidia’s total revenues, which reached $35.6 billion, increased 93% year over year, came from the company’s data centres.

According to Google Finance, Nvidia Corp (NVDA) shares ended trading on February 26th, up 3.67% to $131.28.

Nvidia’s stock remains below its all-time high from November when it closed at over $147.

On January 27, the company experienced the largest single-day value drop in U.S. stock market history, with shares plummeting nearly 17%. This wiped out nearly $600 billion in market value as investors reacted to the emergence of a Chinese AI model by DeepSeek, reportedly rivaling OpenAI’s ChatGPT.

CEO Jensen Huang has emphasized Nvidia’s commitment to leading in agentic AI as competition in the sector intensifies.

Meanwhile, other U.S. tech giants continue expanding their AI investments. In September, Microsoft announced the establishment of two AI centers in Abu Dhabi, adding to the wave of major AI investments throughout 2024.

Bitcoin mining companies have also begun diversifying into AI by repurposing parts of their crypto-mining infrastructure to support large language models. In August, asset manager VanEck projected that if publicly traded Bitcoin miners allocated 20% of their energy capacity to AI and high-performance computing by 2027, they could generate an additional $13.9 billion in profits over 13 years.

A report from research firm 10x Research on January 27 labeled Nvidia’s stock decline as a “bullish development” for Bitcoin. The firm suggested that lower AI spending could ease inflation, potentially prompting more favorable monetary policies from the U.S. Federal Reserve.