The information provided on EL7.AI is for educational and informational purposes only and does not constitute financial advice.
The information provided on EL7.AI is for educational and informational purposes only and does not constitute financial advice.
| Factor | Score | Distribution | Value | Avg | Verdict |
|---|---|---|---|---|---|
Valuation | 27 | 31.6x | 20.3x | Below average | |
Growth | 93 | 70.7% | 5.6% | Above average | |
Quality | 74 | 116.7% | 7.6% | Above average | |
Safety | 90 | -0.0x | 0.4x | Above average | |
Capital Return | 26 | 0.02% | 2.15% | Below average | |
Momentum | 66 | — | — | Near average | |
Sentiment | 44 | — | — | Near average |
Ten ratios that matter, each compared against its sector median and average — so you can see whether a number is rich or cheap relative to peers in the same sector.
NVIDIA Corporation is a global leader in accelerated computing and artificial intelligence, designing and developing advanced graphics processing units (GPUs), central processing units (CPUs), and integrated networking solutions. The company's business model is built on selling integrated infrastructure for data centers and artificial intelligence, which it calls "AI Factories," in addition to offering specialized software such as the CUDA platform that enables developers to accelerate complex applications, alongside providing advanced technical solutions to the gaming, mobile, automotive, and robotics sectors.
In the first quarter of fiscal year 2027, NVIDIA achieved record and exceptional financial results; total revenue reached $81.6 billion, representing an 85% jump compared to the previous year and a 20% growth on a quarterly basis. GAAP gross profit for the quarter was $61.2 billion, with a GAAP gross margin of 74.9% (and 75% non-GAAP), while net income reached $58.3 billion, with earnings per share of $2.39. This performance was mainly driven by the strength of the Data Center segment, which alone achieved revenue of $75 billion, split between data center computing at $60 billion and data center networking at $15 billion.
NVIDIA stock is currently trading at $208.19, which is significantly below the average analyst target price of $309.46, while the range of estimates varies between a low of $139 and a highly optimistic high of $500. Analysts' consensus points to a "Buy" recommendation for the stock, indicating a positive price gap in favor of investors compared to current valuations, despite the company's massive market capitalization of $5042.6 billion.
Vera is NVIDIA's first CPU designed specifically for Agentic AI and processing coordination tasks and memory management with high efficiency. This technology opens up a brand new total addressable market for the company estimated at $200 billion, and management expects a clear path to reach $20 billion in total CPU revenues during the current year, paving the way for NVIDIA to become a major supplier in the global CPU market.
Management explained in the recent earnings call that although it has obtained licenses to ship H200 processors to customers in China, it has not yet generated any revenue from this due to uncertainty regarding the allowance of imports there. Consequently, and continuing its cautious approach, the company has completely excluded any data center computing revenues from China in its financial outlook for the next quarter and the current fiscal year to avoid regulatory risks.
NVIDIA announced an increase in its quarterly cash dividend to shareholders from $0.01 to $0.25 per share to reflect its confidence in free cash flow growth. Additionally, the Board of Directors approved a new $80 billion share buyback authorization, which is added to the remaining $39 billion from the previous program, with the company committed to returning approximately 50% of its free cash flow to shareholders this year.
Automated analysis for informational purposes only — not investment advice.
NVIDIA has restructured its financial reporting into two main platforms: Data Center and Edge Computing. Under Data Center fall two sub-segments: Hyperscale and the ACIE segment, which includes AI clouds, enterprises, and governments, while the Edge segment focuses on physical devices, automotive, and robotics; this step aims to make it easier for investors to understand the nature of the company's diverse business and clarify how each segment is growing separately.