Top 5 U.S. stocks to watch in September 2026

Artificial intelligence (AI) is moving fast, and the spending behind it now reaches far beyond one chipmaker. Accelerators need networking, high-bandwidth memory, data-center capacity, and cloud services, so September will test the whole AI supply chain rather than a single market leader. Which companies are actually turning that demand into durable revenue, margins, and cash flow?

Nvidia remains the commercial benchmark, Broadcom faces the month's first earnings test, Micron must show that exceptional memory pricing can hold, and Microsoft still has to turn heavy infrastructure spending into durable cash returns.

Apple sits outside that infrastructure race. Its September event will test whether product interest is strong enough to support another upgrade cycle. Ranked by editorial watch priority, the order is Nvidia, Broadcom, Micron, Apple, then Microsoft. This is not a buy list.

September will show how far AI demand reaches

The calendar gives each company a different role:

• September 1: John Ternus becomes Apple's chief executive officer, while Tim Cook moves to executive chairman. The transition is a governance signal, not an immediate earnings catalyst.

• September 2: Broadcom reports fiscal third-quarter results after the market closes.

• September 9: Apple holds its confirmed special event. The company has not officially confirmed the product lineup.

• September 10: Nvidia attends a financial-community conference. Its participation is confirmed, but new material disclosure is not.

• September 30: Micron reports fiscal fourth-quarter results.

• Throughout September: Microsoft remains a test of Azure growth, Copilot adoption, and the return on its capital spending. It does not report earnings during the month.

How AI demand moves through the stack

An AI workload needs far more than a graphics processing unit. It requires accelerators, networking, high-bandwidth memory, data-center capacity, and software that customers are willing to pay to use.

Nvidia sells accelerators, Broadcom supplies custom silicon and networking, Micron supplies memory, and Microsoft buys capacity that it then has to monetize. Exposure to the same spending cycle does not make their risks identical.

Nvidia and the price of staying essential

Nvidia reported fiscal second-quarter revenue of $96.22 billion, with Data Center contributing $89.02 billion. Gross margin under generally accepted accounting principles (GAAP) was 75%, while diluted earnings per share (EPS) reached $2.46.

Management's fiscal third-quarter guidance raises the bar again. Its $108 billion revenue midpoint implies roughly 12% sequential growth. Gross-margin guidance is about 74%, and the outlook assumes no China Data Center compute revenue.

Those targets make Nvidia September's most important commercial benchmark. Demand still looks broad, but an ordinary quarter may not satisfy expectations if growth, margins, or the forward outlook soften.

Customers are unlikely to stop spending on AI overnight. Nvidia's near-term risk is losing workloads on price, availability, performance, or total cost. Large customers could direct more demand to Advanced Micro Devices (AMD), internally designed accelerators, or other alternatives while continuing to increase their overall AI spending.

Nvidia's participation in a September 10 financial-community event offers a possible checkpoint, though no new disclosure is guaranteed. Order mix, workload deployments, pricing, margins, and measurable custom-chip adoption would be more useful than another competitor announcement by itself.

Broadcom faces the first earnings checkpoint

Broadcom reports fiscal third-quarter results on September 2 after guiding to approximately $29.4 billion in revenue, $16 billion in AI semiconductor revenue, and a non-GAAP operating margin near 67%.

Its fiscal second-quarter results included $22.2 billion in revenue and $10.3 billion in free cash flow. That cash generation gives the AI story something a pipeline announcement cannot: money already produced by the business.

Broadcom benefits when large cloud companies invest in custom accelerators and the networking required to connect computing clusters. It therefore broadens the AI thesis beyond Nvidia's general-purpose accelerators.

The hurdle is already high. A fast-growing AI business does not guarantee a favorable stock reaction when investors already expect rapid growth. Deployment timing among a small number of large customers can also make one quarter look stronger or weaker than the underlying trend.

When Broadcom reports on September 2, “strong” may not be enough. The company needs to show that AI semiconductor demand is reaching revenue and cash flow without eroding margins. A material shortfall against the $29.4 billion revenue or $16 billion AI benchmark would reveal how much optimism was already built into expectations.

Micron and the durability of memory pricing

Micron is where the AI boom meets the memory cycle.

The company reported fiscal third-quarter revenue of $41.46 billion, GAAP diluted EPS of $24.67, and adjusted free cash flow of $18.3 billion. Its fiscal fourth-quarter guidance calls for $50 billion in revenue, plus or minus $1 billion, gross margin near 86%, and GAAP EPS of $30.73, plus or minus $1.

Pricing did most of the work. Micron's prepared remarks showed dynamic random-access memory (DRAM) prices rising in the low-60% range from the previous quarter while bit shipments increased only in the low single digits. Prices for its flash memory products rose in the mid-80% range, again far faster than bit volumes.

That gap shows powerful pricing in a tight market, but it also exposes the earnings outlook to any reversal. Current results depend heavily on price, not simply on shipping more memory.

AI systems are increasing demand for high-bandwidth memory and other advanced products, but AI is not the only force affecting prices. Supply discipline, capacity, customer agreements, and inventory behavior remain important.

Micron's September 30 report will show whether unusually high margins are becoming more durable. Much of the positive case would unravel if revenue falls below the $49 billion guidance floor or margins materially miss the 86% benchmark alongside softer forward pricing commentary.

Microsoft and the cost of AI capacity

Microsoft has no comparable September earnings event, so its inclusion is less obvious. Its role in the list is to show whether customers are paying enough for the capacity already built.

Microsoft's fiscal fourth-quarter results showed revenue of $90 billion, Azure growth of 43%, and commercial remaining performance obligations (RPO) of $678 billion. RPO represents contracted business expected to be recognized over time, not current revenue.

Management guided fiscal first-quarter revenue to between $89.85 billion and $90.95 billion. Azure growth is expected near 45% in constant currency, while quarterly capital expenditures are expected to exceed $50 billion.

For Microsoft, the payback depends on what that spending produces. More capacity supports Azure and Copilot revenue, but that revenue eventually has to deliver margins and free cash flow capable of justifying a larger asset base.

Demand could remain strong while investors grow less patient. If infrastructure spending rises faster than cash returns, the debate shifts from AI adoption to the length of the payback period. Without a new financial disclosure in September, Microsoft is a longer-term spending-payback watch rather than a dated earnings catalyst.

Apple has to turn attention into upgrades

Apple gets the month's most visible consumer event. The September 1 leadership transition also creates a governance question, although its immediate financial effect is harder to measure.

Apple reported fiscal third-quarter revenue of $109.4 billion, with diluted EPS of $2.02. For the September quarter, management guided to revenue growth of 9% to 11% and gross margin of 47% to 48%.

The September 9 special event will test pricing, availability, product mix, and whether Apple can give existing users a persuasive reason to upgrade. The event is confirmed, but the product lineup has not been officially announced.

Competing smartphones may narrow Apple's perceived differentiation as similar features spread across the market. That concern is plausible, but the available research does not establish a quantified market-share shift to specific rivals.

Supply constraints, memory costs, or incremental product changes could limit the financial effect of event-day enthusiasm. Apple would force a rethink if it presents clear product differentiation, acceptable pricing, and availability consistent with its September-quarter guidance. Attention would then have a more credible route into units, margins, and per-share earnings.

September watch order

Latest tokenized-stock prices on Toobit

Four names on this watchlist are also available as tokenized-stock pairs on Toobit Spot. Below is a quick look at each pair's latest price, 24-hour range, and trading volume in Tether (USDT).

NVIDIA (Ondo Tokenized) spot

NVDAON spot data from Toobit, as of August 31, 2026, around 15:46 UTC

• NVDAON price: around 220.09 USDT

• 24h high: around 220.69 USDT

• 24h low: around 216.11 USDT

• 24h volume: around 172.81 NVDAON

Broadcom tokenized-stock spot

AVGOB spot data from Toobit, as of August 31, 2026, around 15:46 UTC

• AVGOB price: around 369.25 USDT

• 24h high: around 372.61 USDT

• 24h low: around 364.46 USDT

• 24h volume: around 314.91 AVGOB

Microsoft tokenized-stock spot

MSFTB spot data from Toobit, as of August 31, 2026, around 15:46 UTC

• MSFTB price: around 510.55 USDT

• 24h high: around 516.07 USDT

• 24h low: around 507.29 USDT

• 24h volume: around 204.56 MSFTB

Apple (Ondo Tokenized) spot

AAPLON spot data from Toobit, as of August 31, 2026, around 15:46 UTC

• AAPLON price: around 315.33 USDT

• 24h high: around 322.98 USDT

• 24h low: around 315.41 USDT

• 24h volume: around 172.80 AAPLON

These are tokenized-stock spot pairs, not Nasdaq-listed common shares. The volume figures are rolling 24-hour token totals. Micron does not appear in this snapshot because no matching spot pair was verified.

Market outlook

The infrastructure names lead because September will produce harder evidence there. Broadcom and Micron will publish financial results, while Nvidia remains the benchmark for whether accelerated-computing economics still justify deep customer commitments. Apple will attract more public attention, but its stock case needs proof that event-day interest can become upgrades.

Nvidia stays first while its guidance holds and customers continue to see compelling commercial value. The ranking changes if price, performance, availability, or total cost pushes meaningful workloads elsewhere, or if Apple presents a differentiated launch with credible availability and a clearer path to unit growth.

This article is for informational purposes only and is not financial or investment advice. Always do your own research before making any decision.

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