Nvidia will continue to beat projections, demand for products to remain strong

Business Description:

Nvidia designs specialized GPUs and software that power AI infrastructure, high-performance computing and graphical processing. They provide the units that power data-centers, AI-training, machine learning, robotics, realistic graphics rendering for design, simulation and gaming.

Investment Thesis:

The market is pricing in risks of competition within the AI hardware and software industry, along with export uncertainty, while overlooking strong financial performance. Nvidia maintains an estimated 85% share of the overall AI hardware market, which contributes to the company maintaining gross margins of 75.0%, along with revenue growth of 65.47%, as of FY26. Significant pricing power on the newest generation GPUs, including H200 and Blackwell, combined with software lock-in through CUDA, allows Nvidia to maintain and expand its share of AI infrastructure spending. Nvidia will see compounding growth, as they maintain a 44.77% FCF margin, allowing the company to efficiently reinvest into itself while finding high-quality returns. Nvidia leads the industry in GPU architecture, constantly expanding its hardware lead, while maintaining the best-in-class software and hardware architecture. While Nvidia faces competitive pressure from AMD and Intel, Nvidia’s CUDA software ecosystem and developer base mean that erosion of Nvidia's competitive position would require both an abundance of technical development from its competitors, coupled with software ecosystem migration that cannot meaningfully happen within a short time to threaten Nvidia’s position.

Moat Source:

Nvidia’s moats come primarily from its hardware performance/architecture, and software dominance and lock-in ecosystem. Nvidia controls around 90% share of the data‑center AI GPU market, controlling the leading general‑purpose AI accelerators, such as the A100, H100, and Blackwell/GB series. These GPUs benefit from Nvidia’s extensive software ecosystem, namely CUDA and the software layered on top of it. Two decades of CUDA library development make it the easiest and fastest software to integrate into production, while maintaining high switching costs that keep consumers locked in to the software. CUDA isn't just code either; it has a network of millions of developers that have developed applications and libraries that support it, creating a moat that will be structurally durable for years to come.

Key Financials, FY26 unless otherwise stated:

• —Revenue growth YoY: 65.47%
• —Gross margin: 75.0% GAAP
• —Free cash flow margin: 44.77%
• —ROIC (TTM): 117.40%
• —Net cash: $51 billion

Valuation:

Nvidia currently maintains a TTM PEG Ratio of 0.66, and a forward P/E of 25.8, both highly indicative of future growth. With a current P/E of 43.92, compared to a 5 year average P/E of 63.44, there is an argument to be made that the stock is relatively discounted, and current P/E compared to forward P/E implies the market expects roughly 70% earnings growth over the next twelve months. This growth is supported by a high net cash position of $51 billion, serving as a reservoir to support spending on AI infrastructure and manufacturing. Furthermore, Core financials remain highly intact, as when NVIDIA reported its final fourth-quarter financial results for fiscal 2026, the company posted a GAAP gross margin of 75.0% and a non-GAAP gross margin of 75.2%. FCF margin remains strong at 44.77%, and net income and revenue growth sit at around 65%. High profitability, strong financial performance, and strong future demand all show that Nvidia has plenty of room to grow. While it has remained somewhat stagnant for the past 8 months in terms of price, due to export control uncertainty and supply constraints suppressing its valuation multiple, the underlying financials have only strengthened. With the need for AI capabilities expanding, Nvidia's dominant position within the market will only grow further. At current valuation metrics, the market is pricing Nvidia with high growth expectations, expectations that Nvidia will beat consistently. Considering a 5 year time horizon, a 0.66 PEG ratio and a forward P/E that projects meaningful growth, and accounting for the fact that Nvidia's position within the AI infrastructure business strengthens with Capex cycles, the stock is considerably undervalued considering its long-term earnings potential.

Primary Risk:

Concentrating revenues around the AI datacenter boom is the largest risk to Nvidia at the moment; the company relies on a small scale of customers that will consistently spend large amounts of money to build out datacenter and AI infrastructure. Roughly 40-45% of data center revenue comes from a handful of companies( AMZN, META, GOOG, ORCL). If the AI boom falters or slows, Nvidia’s earnings are at serious risk. Significant Capex reduction by any one of these customers within Nvidia’s products would compress Nvidia's growth trajectory significantly.

Catalyst:

Data-center and Blackwell economics will give the strongest evidence to if Nvidia is maintaining both demand and pricing power within the industry. Namely, datacenter growth and EPS beating expectations would show that the demand and profitability of Nvidia’s Blackwell GPUs are economical, and demand for Nvidia products is growing.

Sell Trigger:

Gross margin compression below 70% for two consecutive quarters without a shift toward lower-margin networking revenue would trigger a sell. Additionally, ROIC falling below 80% would be a serious signal to how the company is struggling to find ways to reinvest capital due to customer concentration risk.