Nvidia NVDA is set to release its fiscal second-quarter 2027 earnings report on Aug. 26. Here’s Morningstar’s take on what to look for in Nvidia’s earnings and the outlook for its stock.

Key Morningstar metrics for Nvidia

  • Fair Value Estimate: $280.00
  • Morningstar Rating: ★★★★
  • Morningstar Economic Moat Rating: Wide
  • Morningstar Uncertainty Rating: Very High

Nvidia earnings release date

  • Wednesday, Aug. 26, after the close of trading in the US

What to watch for in Nvidia’s Q2 earnings

  • We’re looking for another beat-and-raise quarter, given the strong capex trends among hyperscalers and enterprises. Nvidia should generate well over $300 billion of data center revenue in calendar 2026, which is effectively fiscal 2027, and perhaps over $500 billion in fiscal 2028. We expect to hear an update regarding sales (or non-sales) into China.
  • We’ll look to the quarterly earnings report to gauge the pace of Nvidia’s expansion and roadmap. There have been reports that Rubin Ultra, due in late 2027, will still arrive but not meet all of Nvidia’s ambitious technological targets.
  • Perhaps the most polarizing issue has been Nvidia’s financing and backstopping of certain partners, including its recently announced $500 billion mobilization of large financial asset managers to invest in artificial intelligence. We trust that Nvidia will lay out its case for why it is arranging such partnerships and/or financing certain firms.
  • The firm’s small deals with Sharon AI and Firmus point to a new revenue model in which Nvidia helps backstop these AI buildouts. We’d like to hear more about these deals and whether any larger, similar ones (such as with OpenAI) are expected.
  • We don’t see any risk to Nvidia’s moat. Its superior GPU hardware for AI, its software ecosystem around Cuda, and its networking and interconnectivity expertise should keep the company at the forefront of AI workloads.
  • Nvidia stock appears undervalued to us. It appears investors have gravitated away from the stock toward a host of other AI “picks and shovels” plays in memory and optical semis. We still see upside in Nvidia stock as long as it remains on pace to hit its near- and medium-term revenue targets.

The following are excerpts from Morningstar’s company report on Nvidia stock.

Fair Value estimate for Nvidia

With its 4-star rating, we believe Nvidia stock is moderately undervalued compared with our long-term fair value estimate of $280 per share. Our fair value estimate and Nvidia’s stock price will be driven by its prospects in the data center and AI GPUs, for better or worse. Nvidia’s DC business has achieved exponential growth already, rising from $3 billion in fiscal 2020 to $194 billion in fiscal 2026, and we estimate it will be $361 billion in fiscal 2027, representing 86% annual growth.

Nvidia disclosed at its March 2026 GTC conference that it has high confidence in $1 trillion of cumulative revenue for its Blackwell and Rubin products from the start of calendar 2025 to the end of calendar 2027. We think this implies $500 billion-plus of revenue coming in calendar 2027 (which is effectively fiscal 2028). Given the acceleration in AI capex we expect within the industry in calendar 2026, we model 80% total revenue growth for Nvidia in fiscal 2027. While these percentages will represent peak growth percentages, as it will be harder for Nvidia to achieve such high percentages as its revenue base grows larger, we still anticipate robust growth for Nvidia in the years ahead.

Economic Moat Rating

We assign Nvidia a wide economic moat, thanks to intangible assets around its graphics processing units and high customer switching costs around its proprietary software, Cuda, for AI tools, which enables developers to use Nvidia’s GPUs to build AI models. Nvidia has emerged as the clear market share leader in discrete GPUs. We attribute Nvidia’s leadership to intangible assets associated with GPU design, as well as the associated software, frameworks, and tools required by developers to work with these GPUs.

Financial strength

Nvidia is in outstanding financial health. As of October 2025, the company held $60.6 billion in cash and investments, as compared with $8.5 billion in short- and long-term debt. Semiconductor firms tend to hold large cash balances to help them navigate the cycles of the chip industry. During downturns, this provides them with a cushion and flexibility to continue investing in research and development, which is necessary to maintain their competitive and technological positions. Nvidia has more than enough of a cash cushion to handle downturns, and we struggle to foresee opportunities for the company to spend this excess cash other than stock buybacks. Nvidia’s dividend is virtually immaterial relative to its financial health and forward prospects.

Risk and Uncertainty

We assign Nvidia an Uncertainty Rating of Very High, due to the nascent nature of the AI market. We think Nvidia’s valuation will be tied to its ability to grow within AI, for better or worse. The biggest risk, in our view, is the pace of AI spending. Nvidia prospered from exponential AI growth in recent years, but such spending comes from a handful of customers, and they all have an incentive to eventually optimize, if not reduce, their investments over time. Within these AI buildouts, we also think tech leaders will turn to in-house chips for at least a portion of their workloads. Google’s TPUs and Amazon’s Trainium and Inferentia chips were designed with AI workloads in mind.

Diversification is also possible, and among existing semiconductor vendors, AMD is quickly expanding its GPU lineup to serve these cloud leaders. We also foresee geopolitical risk and uncertainty, most notably with US restrictions that have sometimes prevented Nvidia from selling its AI products into China.

NVDA bulls say

  • The AI infrastructure opportunity is massive, and Nvidia foresees $3 trillion-$4 trillion of annual AI infrastructure spending by 2030.
  • Nvidia’s data center GPUs and Cuda software platform have established the company as the dominant vendor for AI model training and inference.
  • Nvidia is expanding nicely within AI, not just supplying industry-leading GPUs but also moving into networking, software, and services to tie these GPUs into even more powerful clusters.

NVDA bears say

  • Nvidia’s customers are a handful of the largest Tech companies in the world, and they all have an incentive to eventually diversify away from Nvidia to some extent.
  • AI infrastructure spending has been impressive, but revenue and use cases are less certain, causing doubts about good returns on AI investment, which might lead to a spending downturn.
  • Geopolitics have entered the AI space, most notably limiting Nvidia’s AI opportunities in China.

This article was compiled by Irza Waraich.