One-glance verdict
$132.28 our estimate vs market $212.06
Wall Street consensus: $302.83 (128.9% higher than our fair-value estimate)
60% above our estimate, beyond the bull case
Fundamentals snapshot
NVDA · NMS · Technology · Semiconductors
Current price
$212.06
52-week range
$164.07 - $236.54
Market cap
$5.14T
One-glance verdict
Wall Street consensus: $302.83 (128.9% higher than our fair-value estimate)
60% above our estimate, beyond the bull case
Balance sheet
Net cash $40.36B. Interest coverage shows how many times profit covers the interest bill.
What stands out
What this company does
NVIDIA designs high-performance computer chips, known as GPUs, that were first made for realistic video games but are now essential for powering artificial intelligence. The company's main business is now selling these powerful chips in bulk to companies for their data centers (the huge computer warehouses that run AI applications), making NVIDIA a critical supplier for the booming AI industry.
NVIDIA was started in 1993 by three founders who believed that personal computers would need specialized chips for better graphics, especially for video games. For many years, their main business was creating these graphics processing units (GPUs), which are like special-purpose brains for computers that are very good at handling many tasks at once. A major turning point came in 2006 when they created a software platform called CUDA, which allowed their GPUs to be used for more than just graphics, opening them up to scientific and research applications. This pivot was crucial because it positioned them perfectly for the recent explosion in artificial intelligence (AI), as their GPUs turned out to be ideal for training the complex systems behind AI.
NVIDIA designs high-powered computer chips, most famously the Graphics Processing Unit or GPU. Think of a regular computer chip (a CPU, or central processing unit) as a manager that's good at handling tasks one by one, while a GPU is like having a huge team of workers who can all tackle small parts of a big job at the same time. Originally made to create realistic graphics for video games, these chips are now the workhorses behind the artificial intelligence boom, powering everything from AI chatbots to self-driving car technology. NVIDIA doesn't just sell the chips; it also provides the critical software and networking hardware that allows thousands of these chips to work together in massive data centers, which are like the giant brains of the internet.
This is NVIDIA's largest and fastest-growing business by far, making up the vast majority of the company's revenue. This segment sells the powerful chips, networking equipment, and software that are the building blocks for 'AI factories'—huge data centers that create artificial intelligence. Its main customers are giant cloud service providers (companies that rent out computing power over the internet), large corporations, and governments who buy these systems to train and run AI applications. This part of the company has grown incredibly fast because of the massive demand for AI capabilities across all industries.
This is NVIDIA's original business and includes its well-known GeForce GPUs for PC gaming and professional design. Gamers buy these products to get the best possible visual experience in their video games, while creative professionals like architects and animators use the professional-grade GPUs (called NVIDIA RTX) for creating detailed 3D models and special effects. While it was once the core of the company, the Graphics segment is now a much smaller piece of NVIDIA's total sales compared to its Data Center business. This segment also includes technology for automotive infotainment systems (the screens and computers in your car's dashboard).
NVIDIA's leadership is focused on the idea that every industry is becoming a technology industry powered by AI. They are betting that companies and countries will continue to build out 'AI factories'—massive data centers that produce intelligence—and that this will be one of the largest infrastructure buildouts in history. To capture this opportunity, the company is not just creating more powerful chips, but also the high-speed networking equipment and complex software needed to connect them all together into a single, powerful system. They are also pushing into new areas like robotics and 'physical AI,' where AI controls real-world objects, from self-driving cars to automated factories.
Price history
Earnings history
Click any quarter to read the call summary and what the numbers say.
Is it cheap or expensive?
Wall Street consensus is the average analyst price target: $302.83 (128.9% higher than our fair-value estimate).
Our most-likely fair value is $132.28 a share — about 37.6% below today's price of $212.06, so the stock currently looks expensive (overvalued).
Is it drowning in debt?
Net cash $40.4B - more cash than debt. Interest coverage 503.4x.
NVIDIA Corporation's profit covers its interest bill about 503.4 times over. which is stronger than every peer shown here and 1 peers sit below 1x, which is the danger zone where profit does not fully cover the interest bill.
Total debt $12.81B Interest coverage 503.42x This is the baseline the peer rows are being compared against.
Total debt $3.87B Interest coverage 28.20x -94% vs NVDA Carries about 17.9x less debt cushion than NVDA.
Total debt $64.91B Interest coverage 8.12x -98% vs NVDA Carries about 62.0x less debt cushion than NVDA.
Total debt $30.44B Interest coverage 156.51x -69% vs NVDA Carries about 3.2x less debt cushion than NVDA.
Total debt $45.03B Interest coverage -0.02x -100% vs NVDA This peer has almost no interest-payment cushion compared with NVDA.
Total debt $6.38B Interest coverage 20.56x -96% vs NVDA Carries about 24.5x less debt cushion than NVDA.
What you should know
The numbers
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Valuation
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Debt comparison
What you should know