Nvidia stock trades near record high as Wall Street eyes massive AI earnings

Nvidia (US67066G1040) stock is trading around $225 per share as of August 14, 2026, leaving the chip designer just below its recent record high while investors position for a major artificial intelligence earnings update later this month. Per recent market data, the shares closed at $225.30 in the latest completed US session, with the price sitting a few percent under the all-time closing high of $235.47 set on May 14, 2026.

AI demand keeps Nvidia close to record territory

Market data compiled in the past day show Nvidia stock at $225.30 at the latest close, with the price action over the most recent sessions keeping the stock in a tight band between an intraday low of $223.71 and a high of $227.23 on August 14, 2026. The stock has gained 6 percent over the past month and stands 7.7 percent above its 20-day price average, reflecting steady buying interest rather than a speculative spike.

Historical price data indicate that Nvidia closed at $225.30 on August 13, 2026, only 4 percent below the record close of $235.47 from May 14, 2026. That proximity to the peak highlights how investors have been willing to maintain a premium valuation heading into the next earnings release. Over earlier August sessions, the stock has oscillated in the low $220s, including a close of $217.55 on August 10, 2026, underscoring how the current level represents a rebound within the month.

Short-term trading models focused on Nvidia suggest that the stock is in an accumulation phase, with technical setups framing a long entry window between $222 and $226 and a stop-loss marker around $210. These frameworks often reference a confirmation threshold near $215 where recent support has formed, implying that as long as Nvidia holds that level, the bullish thesis tied to AI infrastructure spending remains intact.

Analysts brace for August 26 earnings upside

The next key catalyst for Nvidia stock arrives on August 26, 2026, when the company is scheduled to report quarterly results for the period ending in July 2026. Consensus estimates compiled by market data providers point to current-quarter revenue of $91.92 billion and earnings per share of $2.08 on a non-GAAP basis. These figures represent a dramatic expansion from the prior-year quarter, when sales were recorded at $46.74 billion and earnings expectations were far lower, highlighting a projected revenue growth rate of roughly 96.7 percent year over year.

The same analyst overview suggests that for the next quarter, ending October 2026, Nvidia is expected to generate $103.36 billion in revenue, with earnings per share of $2.35. Looking out to the full fiscal year 2027, current year revenue estimates stand at $393.88 billion versus year-ago sales of $215.94 billion, implying a robust annual growth rate of approximately 82.6 percent if the projections are met. Earnings per share for fiscal 2027 are forecast at 8.96, compared with significantly lower levels previously, underscoring how AI data center demand is transforming the company’s profit profile.

On the profitability side, consensus figures show that Nvidia’s expected earnings of $2.08 per share for the July 2026 quarter compare with year-ago EPS of 1.03 on an adjusted basis, meaning analysts are looking for earnings to more than double year over year. For the following quarter, the $2.35 EPS estimate versus historical earnings of 1.31 implies similar strength. These comparisons frame a narrative in which Nvidia’s scale-up in GPU shipments and AI accelerator deployments translates directly into outsized bottom-line growth.

Valuation metrics drawn from recent price-target summaries reveal that 46 sell-side analysts currently set an average 12-month price target of $305.85 for Nvidia stock. With the last closing price at $225.30, that target implies an upside of 35.75 percent if the forecasts prove accurate. Individual analyst targets span from a low of $180 to a high of $500, reflecting differing views on how quickly AI infrastructure build-outs by large cloud platforms and enterprise customers will translate into revenue and margin expansion.

Consensus scenarios for Nvidia’s AI earnings trajectory

Looking deeper into the consensus models, revenue estimates for the current quarter ending July 2026 range from $90.3 billion at the low end to $96.66 billion at the high end. The span suggests that while most analysts see Nvidia delivering close to $92 billion in quarterly sales, there is room for a positive surprise if AI accelerator demand and data center deployments outpace baseline assumptions. For the next quarter, ending October 2026, the revenue range stretches from $92 billion to $112.15 billion, indicating expectations of continued sequential growth.

For the full fiscal year 2027, the revenue estimates of $393.88 billion compare to a low forecast of $358.37 billion and a high of $415.52 billion. On an even longer horizon, projections for fiscal 2028 reach an average of $561.56 billion, with a range that extends from $416.4 billion to $710.01 billion. The breadth of those numbers underscores both the uncertainty and the potential scale of the AI build-out, as hyperscale cloud providers and major internet platforms accelerate spending on GPU-rich compute clusters.

Earnings estimates follow a similarly dynamic pattern. The current quarter EPS consensus of 2.08 comes with a range between 2.03 and 2.2, while the next quarter’s 2.35 estimate sits between 2.13 and 2.59. On a full-year basis, fiscal 2027 EPS is expected at 8.96, with a low bound of 8.2 and a high of 9.58. For fiscal 2028, earnings per share projections rise to 12.82, bounded by 9.65 and 16. These trajectories reflect expectations that Nvidia will continue lifting margins by selling higher-value AI chips and systems into data centers even as volumes grow.

Another lens on Nvidia’s momentum is the percentage of analysts who have recently upgraded estimates. In the consensus overview, the company’s current quarter estimate revision score is indicated at 98.36 percent, reflecting that a high proportion of analysts have been revising numbers upward. That strong revision trend feeds into the narrative of Nvidia as a core beneficiary of large-scale AI investments by global technology platforms, underpinning investor willingness to give the stock a premium multiple relative to legacy semiconductor peers.

AI infrastructure spending supports Nvidia’s long-term story

Recent commentary on broader technology spending highlights how major internet and cloud companies are committing substantial sums to infrastructure upgrades, particularly in AI-capable data centers. One high-profile analysis notes that Alphabet and Amazon collectively plan to invest $420 billion on infrastructure, including compute capacity that is heavily reliant on advanced GPUs and accelerators. In that context, Nvidia stands out as one of the prime beneficiaries, alongside certain memory producers who supply high-bandwidth memory essential for AI workloads.

The linkage between hyperscaler spending plans and Nvidia’s growth outlook matters because these customers often sign multi-year purchase commitments for AI hardware and software platforms. As these commitments scale, Nvidia can translate them into a larger recurring revenue base that extends beyond one-off chip sales, particularly through software licensing, enterprise AI services, and full-stack systems that blur the line between hardware product and platform solution. The projected rise in annual revenue from $215.94 billion in the prior year to $393.88 billion in 2027 is consistent with this shift toward a more comprehensive AI infrastructure role.

For investors, the magnitude of those spending plans helps justify why Nvidia’s valuation sits close to record levels even after a prolonged run-up. If the company can convert a meaningful share of the $420 billion infrastructure investment budget into contracts for GPUs, AI platforms, and related systems, the current consensus numbers may prove conservative. Conversely, any slowdown or reallocation of that spending away from Nvidia’s product stack would introduce downside risk to the projections, amplifying the importance of the upcoming August 26 earnings call as a checkpoint.

Short-term trading signals that place entry targets between $222 and $226 and a stop at $210 are a concrete expression of how some market participants are framing the near-term risk-reward. With the stock up 6 percent over the past month and almost 8 percent above its 20-day average, these signals emphasize disciplined risk controls while still leaning into the AI theme. For longer-term holders, the focus is more on whether Nvidia can match or exceed the $91.92 billion current-quarter revenue estimate and the 2.08 EPS forecast, benchmarks that anchor expectations for sustained growth.

Nvidia GPUs anchor the AI product narrative

At the center of Nvidia’s fundamental story is its portfolio of graphics processing units and AI accelerators that power training and inference for large-scale models. Flagship data center products deployed in 2026 build on successive generations of GPU architectures, with performance and energy-efficiency improvements that make them attractive to cloud providers doing cost-benefit analyses on AI workloads. These GPUs are typically sold into high-density server configurations and integrated with networking and software components that form complete AI systems.

Beyond pure hardware, Nvidia’s software stack, including development frameworks, libraries, and runtime environments tailored for machine learning and high-performance computing, creates lock-in and recurring revenue potential. As enterprises and developers standardize on these tools, the company gains leverage in selling new hardware generations into captive ecosystems. This dynamic feeds back into the revenue estimates for fiscal 2027 and 2028, which assume that software and services will contribute a growing share of total sales and support higher blended margins.

The company also benefits from its role in adjacent markets such as gaming, professional visualization, and automotive, where GPUs and AI accelerators are used in graphics rendering, design workflows, and driver-assistance systems. While AI data center revenue is expected to dominate the growth profile over the next several years, these other segments provide diversification and incremental cash flow. Historical comparisons, such as the move from $215.94 billion in revenue in the prior year to $393.88 billion projected for 2027, implicitly assume that both core AI and non-AI segments grow, though at different rates.

For product-level investors, a representative hardware line such as Nvidia’s high-end data center GPUs illustrates the company’s competitive edge. These chips are designed to deliver extremely high throughput for matrix operations and other AI-related computations, combined with advanced memory architectures that reduce bottlenecks. Paired with Nvidia’s networking solutions, they enable the construction of large-scale clusters that can train cutting-edge models, from language systems to vision applications, within acceptable time frames and energy budgets.

Nvidia stock valuation and latest trading reference

As of the latest completed trading session on August 13, 2026, Nvidia stock closed at $225.30 in the US market. Market data sources indicate that this quote reflected a daily gain of 1.21 points, or 0.54 percent, on volume approaching 99 million shares. Pre-market indications heading into August 14 showed the stock ticking up to $226.04, a modest 0.33 percent move, reinforcing the narrative of gradual, orderly buying rather than rapid speculative swings.

The proximity of the current price to the average analyst target of $305.85 highlights how the market is pricing in significant future growth. With the target implying 35.75 percent upside from the $225.30 close, Nvidia carries an expectations burden that few large-cap stocks match. Investors will scrutinize the August 26, 2026 earnings release for evidence that revenue can reach the forecast $91.92 billion level and that EPS can meet or exceed 2.08, benchmarks that underpin the bullish price-target structure.

Index membership and sector positioning further shape how Nvidia stock trades. The company sits within major US equity benchmarks that include large technology and semiconductor names, meaning its performance influences and is influenced by flows into sector-based funds and broad-market ETFs. In the near term, technical traders will monitor whether the shares can reclaim and hold the $235.47 record closing level, a move that would signal renewed momentum, or whether they drift back toward the $215 support region highlighted by short-term trading models.