Technology stocks had already posted massive gains in 2026, driven by chips, AI infrastructure, and data-center spending. But by May 17, some traders began locking in profits as expectations continued rising.

The concern was simple: AI demand still looks strong. The question became whether earnings could stay strong enough to justify valuations.

Semiconductor names remained at the center of attention, with investors focusing on:

• AI chip demand
• Hyperscaler spending
• Blackwell production ramp
• Data-center expansion

Markets were especially watching NVIDIA because many investors viewed its report as a broader test for the entire AI ecosystem.

Expectations were already extremely high. Consensus estimates pointed to roughly $79 billion in quarterly revenue, while analysts expected continued growth in data-centre sales, the segment driving most of Nvidia’s AI expansion.

The rally was not limited to Nvidia.

AI-linked stocks across memory, networking, servers, and infrastructure had also surged, leading to growing debate about whether the market was entering another phase similar to earlier technology booms. At the same time, strong earnings momentum kept many investors bullish.

For markets, May 17 became less about what AI had already done. It became about what comes next.

If Nvidia delivered another strong quarter, the AI rally could continue. If not, profit-taking risk was already waiting.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Nvidia earnings preview: AI rally faces its next reality check first appeared on Finblog.

Financial advisors warn that rising geopolitical tensions, inflation pressures, and market instability are creating one of the most complex investing environments since 2022.

According to advisors across the country, the challenge is no longer just volatility, but a lack of clarity about what comes next.

“Markets can handle bad news,” one advisor said. “What they struggle with is uncertainty.”

Related: What Went Wrong and Right for Stocks Q1 2026?

A difficult start to the year

Despite a late rally at the end of March, the broader picture remains weak.

The S&P 500 fell 4.6% in the first quarter, marking its worst quarterly performance since 2022. At the same time, investors faced sharp swings across multiple asset classes, making it harder to position portfolios with confidence.

Volatility increased significantly, even if declines appeared relatively orderly on the surface.

No safe haven this time

One of the biggest concerns is the simultaneous weakness in both stocks and bonds. Traditionally, investors rely on bonds to offset equity losses. But this year, that strategy has not worked.

• 10-year Treasury yields surged from 4.01% to 4.44% in March
• Stocks declined across the quarter
• Even gold dropped 13% in March, its worst month since 2008

This has exposed the limits of the classic 60/40 portfolio strategy, long considered a reliable foundation for investors.

As one advisor put it, “this is one of the toughest market environments we’ve seen.”

Geopolitics and oil are back in focus

A major driver of uncertainty is the ongoing conflict involving Iran. The war has pushed oil prices higher, disrupted supply chains, and raised concerns about long-term inflation pressure.

Advisors warn that this combination could slow economic growth, especially if energy prices remain elevated. There is also a growing fear of stagflation, a scenario where inflation stays high while growth slows, something markets historically struggle to handle.

A fragile economic outlook

Beyond geopolitics, concerns are building around the broader economy. Some investors fear that consumer spending, especially from high-income households, could weaken, which would reduce one of the key drivers of growth.

Others are watching the role of AI and productivity gains, which are expected to support the economy. But if those expectations fail, markets could face additional downside.

One advisor warned of a possible two-phase market decline:

• First driven by war-related uncertainty
• Then followed by a broader economic slowdown or recession

Investors are feeling overwhelmed

Advisors say the psychological impact on clients is becoming noticeable. With so many risks unfolding at once, some investors are becoming hesitant, disengaged, or even frozen in decision-making.

“Are they numb, overwhelmed, or just waiting?” one advisor asked.

This shift in behavior could itself become a risk, as reduced spending and investment activity may feed back into slower economic growth.

Right now, markets are balancing multiple forces at once:

• War and geopolitical uncertainty
• Rising energy prices and inflation risks
• Weak performance across stocks and bonds
• Uncertainty around economic growth and policy direction

Even traditional strategies are being questioned, as correlations between assets break down.

As the second quarter begins, one question dominates investor thinking: Can markets stabilize if uncertainty remains this high, or is more downside ahead?

The answer will likely depend on a few key factors:

• Direction of the Iran conflict
• Path of inflation and oil prices
• Federal Reserve policy decisions
• Strength of consumer spending and AI-driven growth

Until then, advisors say investors should prepare for continued volatility and an unusually unpredictable market environment.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Investors Enter Q2 2026 on Edge as War, Inflation, and Market Risks Collide first appeared on Finblog.

The Securities and Exchange Commission is preparing a proposal that would allow companies to report earnings twice a year instead of every quarter, following renewed pressure from Donald Trump.

While the move is framed as a way to reduce corporate burden, its impact could go far beyond boardrooms.

A System That Supports Thousands of Jobs

Quarterly earnings are not just a financial update, they are a massive operational process.

Each report can take weeks to prepare and involves: Legal teams, Accountants and auditors, Investor relations professionals, Communications teams, Financial data providers

Companies spend an average of over 850 hours per quarter preparing earnings, with costs averaging around $330,000 per report, and in some cases reaching millions of dollars.

This spending supports thousands of white-collar jobs, many of which are already under pressure from automation and AI.

Companies Want Less Pressure, But Investors Want More Data

Many CEOs have long argued that quarterly reporting:

• Is too costly and time-consuming
• Encourages short-term thinking
• Distracts from long-term strategy

But investors strongly disagree.

Surveys show most investors believe quarterly reporting is essential, and 82% say they would struggle to find information if reporting frequency is reduced.

Even if rules change, experts expect many companies may continue reporting quarterly voluntarily, because investor demand won’t disappear.

Winners: Executives and Long-Term Strategy

In theory, the biggest winners would be top executives.

With fewer reporting cycles, CEOs and CFOs could:

• Spend more time on operations and growth
• Focus on capital allocation and strategy
• Reduce time spent managing earnings expectations

Some estimates suggest executives could gain up to a month of extra time per year.

Losers: Lawyers, Auditors, and Support Roles

The biggest downside may hit professionals tied directly to earnings preparation.

These include: Corporate lawyers, Audit firms, External consultants

These roles are often brought in specifically for earnings cycles, meaning fewer reports could lead to less demand and lower fees.

Unexpected Impact: Data Firms and Hedge Funds

The shift could also reshape how information flows in markets.

• Alternative data providers may benefit, as investors look for new sources of insight
• But hedge funds could lose key trading catalysts, since earnings season is one of the biggest drivers of market moves

As one expert noted, earnings season is often “the best time of the year to make money” for active investors.

The move to reduce earnings reporting may seem like a simple regulatory change, but it could redefine how markets operate.

It raises a fundamental question: Should markets prioritise efficiency for companies or transparency for investors?

If the rule is approved, the impact will extend far beyond earnings calendars, potentially reshaping jobs, data flows, and market behavior across Wall Street.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: SEC May Scrap Quarterly Earnings Reports

The post How a Quarterly Earnings Shake-Up Could Reshape Wall Street Jobs first appeared on Finblog.

The Securities and Exchange Commission is considering allowing companies to report results twice a year instead of quarterly, a proposal backed by Donald Trump. But among market professionals, there is no clear consensus.

The Case for Change: Less Pressure, More Long-Term Focus

Some experts say quarterly reporting creates short-term thinking and unnecessary pressure.

Greg Halter of Carnegie Investment Counsel said reducing reporting could:

• Lower corporate costs
• Let management focus on real business performance
• Reduce the “game” of beating quarterly expectations

Similarly, Bret Kenwell from eToro noted that fewer reports could help companies execute long-term strategies more effectively, especially strong, established firms.

The Risks: Less Transparency, More Uncertainty

Others warn the move could reduce visibility for investors.

Melissa Otto of S&P Global said less frequent reporting would mean:

• Less transparency on company performance
• Harder access to timely data
• Greater uncertainty between updates

Investor concerns are clear: fewer reports could make it easier for problems to go unnoticed for longer periods.

Concerns About Bad Actors

Some market veterans are more cautious. Danny Moses of Moses Ventures warned that reduced reporting, combined with lighter regulation, could create risks.

“I am always for more transparency than less,” he said, noting that fewer disclosures could give bad actors more room to operate at the expense of shareholders.

Could Markets Adapt Anyway?

Not everyone believes the change would have a major impact. Louis Navellier of Navellier & Associates expects most US companies would continue reporting quarterly anyway, even if rules change.

This already happens in Europe, where many firms still report quarterly despite looser requirements.

The debate highlights a key trade-off:

• Efficiency and long-term focus for companies
  vs
• Transparency and real-time insight for investors

If the rule moves forward, it could reshape how information flows in markets, but one thing is clear: Even if quarterly reporting is no longer required, investors may still demand it.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: How a Quarterly Earnings Shake-Up Could Reshape Wall Street Jobs

SEC May Scrap Quarterly Earnings Reports

The post What Wall Street Thinks About Ending Quarterly Earnings first appeared on Finblog.

As markets head into 2026, here are the key themes investors are watching closely.

Valuations Are Stretched, Especially in Tech

The S&P 500’s long-term valuation metrics are now at all-time highs, surpassing levels seen before the dotcom crash and the 2022 rate shock. Much of that stretch comes from mega-cap technology and AI-related stocks.

Strategists warn that high valuations do not automatically end bull markets, but they do raise the bar for fundamentals. Earnings growth must stay strong, and any disappointment could trigger sharper bouts of volatility. Recent stress in credit markets, including spikes in Oracle’s credit default swaps, shows bond investors are already paying attention.

Earnings Must Do the Heavy Lifting

Consensus forecasts point to double-digit earnings growth across regions in 2026, led by emerging markets. That optimism may prove demanding.

• US growth depends heavily on continued AI investment and a resilient labor market
• Europe needs fiscal stimulus to translate into real corporate profits
• Asia must meet ambitious growth assumptions

If earnings fall short, today’s valuations could quickly look uncomfortable.

Rotation Is Gaining Momentum

After dominating most of 2025, AI and semiconductor stocks have started to stall, prompting investors to rotate into other areas. This includes cyclical stocks, defensives, and lagging sectors.

Rotation is healthy for markets. It broadens leadership and reduces reliance on a small group of mega-cap winners. Many strategists expect this trend to continue into early 2026, especially as upcoming earnings seasons reveal which industries are holding up best.

Seasonality Helps, But It’s Not a Guarantee

The start of a new year typically brings fresh capital flows, reset risk budgets, and pension inflows, which can support equities in the first quarter.

That said, January and February are not consistently strong months. Recent years have delivered both sharp rallies and sudden drawdowns. Seasonal tailwinds help, but they do not eliminate downside risks.

Stock Picking Is Back in Focus

With returns highly concentrated in 2025, correlations between individual stocks have fallen sharply. This creates fertile ground for active managers.

Investors are increasingly focused on picking winners and losers, particularly within the AI ecosystem, as benefits spread beyond early leaders. Many see 2026 as a year where selective exposure matters more than broad index bets.

Positioning Leaves Little Room for Error

Perhaps the biggest risk is how crowded the trade has become.

According to Bank of America’s fund manager survey:

• Cash levels are at a record low of 3.3%
• Exposure to equities and commodities is the highest since early 2022
• Recession risk is barely priced in

This confidence supports markets, but it also means any shock could lead to faster, sharper pullbacks, especially if the US labor market weakens or AI optimism is challenged.

The mood entering 2026 is bullish, but fragile. Strong positioning, low cash, and high valuations suggest momentum remains intact, yet markets are increasingly sensitive to earnings, rates, and the AI narrative.

For investors, 2026 may reward diversification, selectivity, and risk management just as much as optimism.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: FOMO vs. Bubble Angst Signals More Stock Volatility in 2026

Markets Enter Final Stretch of 2025 With Santa Rally Hopes: What to watch

Trade, Tariffs, and Treasuries: The Hidden Cost of Trump’s Protectionism

The post Stocks Look Bullish Entering 2026 — But What Could Go Wrong? first appeared on Finblog.

Below is a full breakdown of what actually happened in the numbers, what Jensen Huang is telling investors about the future of AI, and why Wall Street is both impressed and nervous at the same time.

1. A quarter that crushed expectations

Fiscal Q3 2026 was another record for Nvidia (NVDA). The company did not just beat; it cleared the bar with room to spare.

• Revenue: 57.01 billion dollars, ahead of estimates around 55 billion dollars, up about 62 percent year over year and more than 20 percent quarter over quarter.
• Adjusted EPS: 1.30 dollars, slightly ahead of expectations, up about 60 percent versus last year and more than 20 percent versus last quarter.
• GAAP net income: 31.91 billion dollars, up about 65 percent from the prior year.

The data center segment was the engine behind everything:

• Data center revenue: 51.2 billion dollars, up roughly two thirds from a year ago and about one quarter from Q2, beating every major Wall Street forecast.
  • Around 43 billion dollars came from compute, mainly GPUs.
  • About 8.2 billion dollars came from high speed networking gear that lets those GPUs act as one giant computer.
  • Management said demand for its current generation Blackwell and GB300 chips is “off the charts” and that cloud GPUs are effectively sold out.
  • The best selling product family is already Blackwell Ultra, the second generation of Blackwell.

Other segments were smaller but still solid:

• Gaming: 4.3 billion dollars, about 30 percent higher than a year ago, essentially flat versus last quarter and a touch below consensus.
• Professional visualization: 760 million dollars, up more than 50 percent year over year and about one quarter sequentially, ahead of expectations.
• Automotive and robotics: 592 million dollars, up roughly one third year over year and slightly higher than Q2.

Margins stayed exceptional. Adjusted gross margin was around 74 percent, with adjusted operating income close to 38 billion dollars and adjusted net income almost 32 billion dollars. Free cash flow reached about 22 billion dollars, up more than 30 percent from a year ago.

For the current quarter, Nvidia guided to about 65 billion dollars of revenue, plus or minus 2 percent, clearly higher than the roughly 62 billion dollars analysts were expecting. Guided non GAAP gross margins are set to edge higher again to about 75 percent.

In simple language, the core business is still exploding.

2. Balance sheet, cash returns and a giant inventory build

The cash machine behind those earnings is getting bigger and more aggressive.

• Cash, cash equivalents and marketable securities rose to 60.6 billion dollars, up from 38.5 billion dollars a year earlier.
• Operating cash flow was 23.8 billion dollars in the quarter, compared with 17.6 billion dollars a year ago and 15.4 billion dollars in the prior quarter.

At the same time, Nvidia is clearly building ahead for the next wave of AI demand:

• Inventory climbed to 19.8 billion dollars, up from 15.0 billion dollars just one quarter earlier.
• Total supply related commitments reached 50.3 billion dollars. The finance team explained that this is about securing long lead time components, meeting demand for Blackwell and supporting future architecture ramps.
• Multi year cloud service agreements rose to 26.0 billion dollars, from 12.6 billion dollars in Q2, showing that hyperscalers are locking in capacity years in advance.

Shareholders are being paid very well for all of this:

• Nvidia has already returned 37 billion dollars in the first nine months of fiscal 2026 through buybacks and dividends.
• There is still 62.2 billion dollars left under the current repurchase authorization.
• The quarterly dividend remains symbolic at one cent per share, which makes clear that management prefers buybacks.

In Q3 alone, the company spent 12.5 billion dollars on share repurchases and about 243 million dollars on dividends.

3. Blackwell, performance per watt and the power problem

The star of the show is still Nvidia’s data center platform, especially the Blackwell family of GPUs and the full stack around them.

On the earnings call and in later comments, Jensen Huang kept returning to one phrase: performance per watt. Data centers face hard limits on how much power they can draw. Huang’s message was direct:

You still only have one gigawatt of power, so performance per watt translates directly to your revenues.

According to Nvidia:

• Blackwell based systems, including mixture of experts reasoning models, can deliver around ten times higher performance per watt and roughly ten times lower cost per token than the previous H200 generation in some benchmarks.
• Internal tests such as DDC R1 over NVLink show Blackwell as a huge generational leap for inference as well as training.

This is also how Nvidia responds to critics like Michael Burry, who point out that older A100 GPUs use two to three times more power per unit of compute than newer chips and question whether they still create real economic value, especially when Nvidia itself says Blackwell is far more energy efficient.

Huang effectively answered that challenge with a single line from the transcript:

The A100 GPUs we shipped six years ago are still running at full utilization today, now powered by a much stronger software stack.

In other words, Nvidia argues that the combination of CUDA software, networking and system design keeps extending the economic life of those older chips, even as new generations roll in.

There is also the question of constraints. When an analyst asked whether power, financing, memory or foundry capacity could limit Nvidia’s growth, Huang’s answer was that all of them are constraints, and none of them are fatal.

He stressed that:

• Nvidia has more than three decades of relationships across the supply chain.
• The company now has partners for land, power, data center shells and financing.
• Careful planning both up and down the supply chain is key so that every unit of energy produces as much revenue as possible.
• Because Nvidia designs the full stack, from chips to software, each generation is meant to deliver better performance per watt and higher value per dollar for customers, not just more raw speed.

Key quotes from the earnings call

CFO Colette Kress:

On demand and long-term visibility:

“We currently have visibility to $500 billion in Blackwell and Rubin revenue from the start of this year through the end of calendar year 2026. […] We believe NVIDIA will be the superior choice for the $3 trillion-$4 trillion in annual AI infrastructure build we estimate by the end of the decade. Demand for AI infrastructure continues to exceed our expectations.”

This anchors the growth looking forward and frames the $500 billion Blackwell–Rubin pipeline inside a multi-trillion-dollar decade-long build-out.

CEO Jensen Huang:

On power limits and performance per watt:

“In the end, you still only have one gigawatt of power, one gigawatt data centers, one gigawatt of power. Therefore, performance per watt, the efficiency of your architecture, is incredibly important. […] Your performance per watt translates directly to your revenues, which is the reason why choosing the right architecture matters so much now.”

Power is the binding constraint, and that perf-per-watt is the real battleground for economics that could favor NVIDIA over the long haul.

On the ecosystem and running every model:

“NVIDIA’s architecture, NVIDIA’s platform is the singular platform in the world that runs every AI model.[…] We run OpenAI. We run Anthropic. We run xAI […] We run Gemini […] We run science models, biology models, DNA models, gene models, chemical models […] AI is impacting every single industry.”

Huang’s ecosystem argument is simple: one architecture, every major model, across consumer apps, enterprises, and science. It reinforces CUDA as the default AI operating layer.

4. Three platform shifts and the AI bubble debate

A huge piece of this quarter was Huang trying to reframe the entire AI bubble conversation.

In both the call and a separate interview he pushed back on the idea that this is just speculative froth. He said the world is going through three simultaneous platform shifts:

1. From CPU based general purpose computing to GPU accelerated computing.
   A gigantic base of traditional software for data processing and scientific simulation is moving to CUDA GPUs as Moore’s Law slows. That spending already runs into hundreds of billions of dollars each year and used to live mainly on CPUs.
2. From classical machine learning to generative AI inside existing applications.
   Huang pointed to Meta as a live example. Its ad ranking and recommendation systems, trained on large GPU clusters, helped drive more than a five percent increase in ad conversions on Instagram and around a three percent improvement in the Facebook feed. For hyperscalers, those small percentages translate into very real revenue, not just marketing slogans.
3. From today’s models to agentic and physical AI.
   This includes reasoning systems and real world tools such as coding assistants like Cursor and Cloud Code, radiology tools like iDoc, legal assistants such as Harvey, self driving platforms like Tesla FSD and Waymo, and a growing wave of industrial and service robots.

His message to investors was simple. The AI buildout is not one narrow craze. It is three overlapping structural shifts that will require huge infrastructure for many years. Nvidia’s pitch is that one unified architecture, spanning cloud, enterprise and robotics, allows it to serve all three waves.

On the call, he opened by saying there has been a lot of talk about an AI bubble, then added that from Nvidia’s vantage point, they see something very different.,

5. Inside the company: “the market did not appreciate it”

The public call was only part of the story. In a leaked all hands meeting on Thursday, Huang spoke even more bluntly to employees.

He told staff that “the market did not appreciate” what he called an incredible quarter and said Nvidia was in a kind of no win situation in the current debate.

• If Nvidia had delivered a weak quarter, critics would shout that this proves an AI bubble.
• If Nvidia delivered a strong quarter, the same people would say the company is fueling that bubble.

Huang joked about the memes showing Nvidia “holding the planet together” and added that this was “not untrue.” He also reminded employees that the company had briefly been worth about five trillion dollars and that “nobody in history has ever lost five hundred billion in a few weeks” without still being incredibly valuable.

The internal message was clear: keep building, let the stock market worry about daily mood swings.

6. Customers, model builders and early proof of value

One of Nvidia’s strongest arguments against the bubble narrative is what its customers are actually doing. Management spent a lot of time highlighting real-world outcomes. The past quarter was a blur of mega-partnerships, each one expanding NVIDIA’s reach deeper into the AI stack.

On the model builder side:

• OpenAI is working with NVIDIA to build and deploy at least 10 GW of AI data centers. NVIDIA plans to take an equity stake and invest up to $100 billion over time as part of the multi-year buildout.
• Anthropic signed a deep platform deal to run up to 1 gigawatt of Grace Blackwell and Rubin systems, alongside a planned $10 billion investment from NVIDIA. Anthropic will purchase $30 billion of compute from Azure and collaborate with NVIDIA on model training and hardware optimization, turning a prior non-customer into a full-stack NVIDIA partner.
• xAI: xAI is building gigawatt-scale Colossus 2 AI factories anchored on Blackwell, including a 500 MW flagship site with Humane. AWS will supply up to 150,000 NVIDIA accelerators to power these workloads.
• Saudi Arabia (KSA): Framework agreement for roughly 400,000 to 600,000 GPUs over three years.
• Palantir: Bringing CUDA X into Ontology, with customers like Lowe’s already using it for supply chain and analytics workflows.
• Fujitsu, Intel, and Arm: Announced NVLink integrations that wire their CPU roadmaps directly into NVIDIA’s ecosystem.

On the enterprise and industry side:

• RBC is using agentic AI to cut the time needed to produce analyst reports from hours to minutes.
• Unilever has doubled content creation speed while cutting costs in that area by about half.
• Salesforce engineers using tools like Cursor are seeing at least thirty percent productivity gains.

Nvidia also stressed that physical AI is already a multibillion dollar business. Companies such as Belden, Caterpillar, Foxconn, Lucid, Toyota, TSMC, Wistron, Agility Robotics, Amazon Robotics, Figure and Skild AI are building robots and automated systems on Nvidia platforms. Huang described this as a multi trillion dollar opportunity over time.

For Nvidia, these examples are proof that AI is not just a line item in hyperscaler capital expenditure budgets. It is starting to show up in productivity, cost savings and entirely new products.

7. China: forecast set to zero, optional upside if rules change

One of the more striking details this quarter was how little Nvidia currently relies on China.

Over the past year the company fought to obtain licenses for its H20 chip, a slowed down version of older technology that complies with United States export rules. At one point some analysts thought China could be a fifty billion dollar per year market for Nvidia.

The company eventually secured licenses after Huang personally met President Donald Trump and agreed to a structure in which the United States government would take fifteen percent of China related sales.

In practice, the result so far is tiny. Colette Kress said:

• H20 revenue in the quarter was about fifty million dollars, which she described as insignificant.
• Large purchase orders never materialized, partly due to geopolitical uncertainty and partly because local competitors have been gaining ground.

Because of this, Nvidia now assumes zero contribution from China data center sales in its forecast. Huang said he would love to re engage with China if rules change and that it would be fantastic to participate in that market again, but investors are being told not to rely on that outcome.

That makes the current growth even more striking. These record numbers are being delivered without meaningful help from what used to be one of Nvidia’s biggest markets.

8. Wall Street reaction: still “THE AI company”

Despite the stock’s choppy trading, professional analysts came away even more bullish.

• Truist described Nvidia as “THE AI company” and said there is still significant growth and stock upside ahead. They raised their calendar 2026 EPS estimate from 6.50 dollars to 7.30 dollars and lifted their price target from 228 dollars to 255 dollars, using a multiple of around thirty five times earnings.
• Dan Ives at Wedbush called it a “drop the mic quarter” and said this was the earnings call that tech bulls needed to hear.
• UBS argued that the AI infrastructure tide is rising so quickly that almost all boats will lift, and that Nvidia is actually tightening its grip as the central enabler of AI across text, video and other modalities.

Across the Street, price targets moved sharply higher. Recent revisions include:

• Evercore ISI now at 352 dollars, up from 261 dollars, the highest widely quoted target.
• Melius, KGI, Baird, Barclays, Bernstein, Citi, BNP, JPMorgan, Stifel, KeyBanc, Wolfe, Jefferies, Goldman, Rosenblatt, Mizuho, William Blair, CITIC, Deutsche Bank and Morningstar all raised their targets, many into the 240 to 275 dollar range.

The overall picture:

• The median target has shifted from about 230 dollars to roughly 250 dollars.
• Even the lowest major target has climbed from around 180 dollars to about 230 dollars.

In short, Wall Street research generally sees Nvidia as the clear winner in AI and expects earnings to keep growing very rapidly.

At the same time, even supportive firms such as Bank of America and Saxo Bank highlight important risks, including customer concentration, heavy use of debt financed capital expenditure by model builders, and the physical constraints around power and data center capacity.

9. Why the stock still sold off and what the bears are worried about

If the numbers were so strong, why did NVDA soar then slump, dragging the entire AI basket with it and helping to trigger one of the wildest two day swings in the S&P 500 this year?

A few themes keep coming up in more cautious research and opinion pieces.

Valuation and crowded positioning
Nvidia’s market value is around 4.5 trillion dollars and the stock had become the ultimate AI momentum trade. Many hedge funds and retail traders were heavily overweight. When macro worries flared and sentiment gauges such as the Fear and Greed Index slid back into extreme fear, even a near perfect quarter struggled to push the stock higher.

Customer concentration and debt financed capex
A large part of Nvidia’s demand comes from a small group of hyperscalers and model builders that are committing huge sums to data centers, often with rising leverage. Bank of America and others note that more AI infrastructure is being financed with debt. Critics worry that if revenue growth slows, some of those customers may have trouble justifying their spending plans.

Physical and political constraints
Data centers require land, power, cooling and local approvals. Several commentators point out that power shortages, grid bottlenecks and community resistance could eventually slow AI buildouts. That creates a new category of risk that is partly economic and partly political.

Skepticism about real world value
Investors such as Michael Burry argue that high utilization of older chips does not automatically mean high profitability, especially once energy costs and depreciation are taken into account. In this view, some AI projects could turn out to be expensive science experiments if monetization lags too far behind spending.

These worries were visible in the trading after the report. Nvidia’s stock initially jumped in extended hours, then reversed sharply, finishing the next main session down around 3 percent. The selloff spilled into the wider AI complex:

• Semiconductor indices fell as stocks like Advanced Micro Devices dropped sharply.
• Pure play AI software firms such as C3.ai suffered even steeper declines and are now down more than 25 percent over the past month.
• Fund managers rotated money into defensive sectors such as healthcare, which has been one of the best performers this month, while technology has been the weakest group in the S&P 500.

Fortune and other outlets captured the mood with a simple idea: Nvidia was being punished in the market precisely because its report was so strong, reigniting anxiety that the AI boom is too good to last.

10. What this quarter really tells us about the AI cycle

Putting everything together, a few clear conclusions stand out.

AI infrastructure demand is still accelerating.
Data center revenue growth above 60 percent, a Q4 guide that implies another step up and a backlog of about 500 billion dollars of AI chip orders for 2025 and 2026 all point to a multi year buildout that is far from finished. Management says that forecast is still on track and that recent deals with partners like Anthropic and Saudi Arabia are not yet fully reflected, so the number is likely to increase.

Nvidia is deepening its moat rather than just riding a bubble.
The CUDA software ecosystem, the long usable life of GPUs such as A100, aggressive investment in networking and a unified architecture that spans cloud, enterprise and robotics all reinforce Nvidia’s central role in AI. Customer case studies and model builder economics show that at least some of this spending is already translating into productivity gains and new revenue streams.

The main risks sit around Nvidia, not inside it.
The biggest uncertainties involve power, regulation, financing and the ability of Nvidia’s customers to generate enough profit to justify their massive capital expenditure plans. Those are real issues, yet so far they have not slowed orders, which is why Nvidia continues to build inventory and sign multi year commitments at record levels.

Markets are trading on emotion as much as on math.
This was the “drop the mic” quarter that many tech bulls were waiting for. Analysts raised their targets and reiterated buy ratings. At the same time, the stock became the focal point of one of the sharpest sentiment swings of the year, with the same numbers used to argue both that AI is the future and that AI is a bubble.

That tension is exactly what Huang was hinting at when he joked that memes about Nvidia holding the world together contain a bit of truth.

For now, Nvidia’s latest quarter confirms that the AI revolution is still very real, even if the path of the stock is anything but smooth. The company is investing and planning as if AI spending will keep compounding. Investors, meanwhile, remain torn between the fear of missing the next great technology wave and the fear of being left holding the bag.

Note: Our call on Nvidia Q3 FY2026 earnings was roughly 90 percent accurate, with revenue, EPS, margins and data center growth all landing only a few percent above our original forecasts: Nvidia Q3 FY2026 Earnings Preview and Prediction: What to expect?

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Nvidia Earnings Takeaways: Time to Buy $NVDA? first appeared on Finblog.

The retail giant reported $179.5 billion in revenue for the quarter ending Oct. 31, topping expectations of $177 billion and rising 6% year over year. The results were driven by strong e-commerce growth, steady demand in food and health categories, and Walmart’s continued success in attracting higher-income shoppers looking for value.

E-commerce Surges Again

Walmart U.S. sales rose 5.1% to $120.7 billion, while online sales jumped 28%, marking the company’s seventh straight quarter of more than 20% e-commerce growth.

Store traffic increased 1.8%, and customers spent 2.7% more per trip. Stronger private-label offerings and expanded assortments helped lift general merchandise sales, even as consumers across the country continue to pull back on discretionary purchases.

Higher-Income Consumers Keep Fueling Growth

Walmart continues to gain market share among wealthier households trading down from more expensive retailers. This trend has now persisted for several quarters and remains one of Walmart’s strongest growth drivers.

Sales were notably strong in grocery, health and wellness, and general merchandise, showing resilient spending across core categories.

Leadership Changes and a Boosted Outlook

The report comes one week after Walmart announced a leadership shuffle. Long-time CEO Doug McMillon will hand over global responsibilities to John Furner in February.

For fiscal 2026, Walmart now expects:

• Net sales growth: 4.8%–5.1% (up from 3.75%–4.75%)
• Adjusted operating income: up 4.8%–5.5%
• Adjusted EPS: $2.58–$2.63 (up from $2.52–$2.58)

Walmart Is Moving to Nasdaq

The company also announced it will transfer its stock listing from the New York Stock Exchange to the Nasdaq on Dec. 9, where it will continue to trade under the ticker WMT. Walmart said the move fits its long-term, tech-focused strategy as it leans further into automation and AI.

CFO John David Rainey said the shift reflects Walmart’s transformation into a “people-led, tech-powered” retailer, with automation and AI increasingly integrated into its logistics, store operations, and omnichannel offerings.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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Shares have climbed over 35 percent this year, driven by a surge in data centre demand and massive expectations for its new Blackwell platform. But with market sentiment fragile and geopolitical tension rising, the question is whether Nvidia can keep outperforming without triggering concerns about overvaluation or slowing momentum.

Street Forecast: Revenue Near $55 Billion, EPS Topping $1.25

Wall Street is expecting another blowout quarter. The consensus forecast calls for revenue in the range of 54.8 to 55.2 billion dollars, which would mark growth of more than 50 per cent from a year ago. Adjusted earnings per share are projected to be around 1.25 to 1.28 dollars. Gross margins are expected to hold steady in the mid-70 per cent range, supported by a continued mix shift toward high-margin data centre products.

Prediction: Nvidia likely beats consensus slightly on both revenue and earnings, with stable gross margin. Investor focus will shift to guidance and commentary around Blackwell demand heading into 2026.

Data Center: Blackwell Ramp Driving the Engine

Data center remains the growth engine for Nvidia, now accounting for roughly 90 percent of total revenue. Last quarter, data center sales reached 41.1 billion dollars, up 56 percent year over year. In the third quarter, Wall Street sees that number jumping to nearly 49 billion.

This growth is largely driven by strong demand for Nvidia’s new Blackwell platform, which is ramping across hyperscalers and sovereign infrastructure projects. Analysts estimate that between 8 and 12 billion dollars of third-quarter revenue could come from Blackwell shipments, up from about 5 to 7 billion last quarter.

Nvidia is also benefiting from long-term agreements and reserved capacity purchases. Major customers like Microsoft, Meta, Oracle, and others have made multi-billion-dollar commitments to Nvidia’s AI chips for infrastructure scaling. The company disclosed over 500 billion dollars in cumulative demand across Blackwell and the upcoming Rubin platform.

Prediction: Data center revenue lands near the top of expectations. Nvidia emphasizes long-term visibility and accelerating deployment of Blackwell-powered systems.

Gaming, Visualization, and Auto: Steady but Secondary

Other business segments contribute only a small share of total sales but remain relevant to Nvidia’s overall financial story.

• Gaming is expected to come in around 4.4 billion dollars, up from 4.29 billion in the second quarter. Demand for high-end GPUs remains steady, with some seasonal boost heading into the holiday period.
• Professional Visualization was around 600 million dollars last quarter and may grow slightly. This segment serves enterprise workstations and AI simulation platforms.
• Automotive revenue stood near 586 million last quarter. Nvidia’s Drive platform continues to gain design wins, but automotive remains a long-term opportunity, not a major near-term contributor.

Prediction: Modest growth across these segments. No major surprises expected, and the focus remains squarely on data center.

Margins, Buybacks, and Capital Allocation

Nvidia remains one of the most profitable large-cap tech companies. In the second quarter, non-GAAP gross margin reached 72.7 percent. Third-quarter margins are expected to hold steady or tick higher, thanks to premium pricing on Blackwell chips and strong software attach.

Operating margin and free cash flow continue to impress. Nvidia returned 24.3 billion dollars to shareholders during the first half of the fiscal year and authorized a 60 billion dollar share repurchase plan. The dividend remains symbolic at one cent per share, but capital returns are clearly a priority.

Prediction: Gross margin comes in slightly above forecast. The buyback pace continues aggressively, reinforcing Nvidia’s strong cash position and confidence in long-term growth.

China Risk and the Geopolitical Overhang

Geopolitics remains one of the largest question marks for Nvidia. The company’s advanced chips remain restricted from sale to China under current U.S. export controls. While a downgraded H20 chip was approved for sale, demand in China has been weak due to competitive pressure from local alternatives and regulatory disincentives.

President Trump’s administration recently introduced a 15 percent tariff on AI chip sales into China. At the same time, there is speculation that Nvidia may eventually be allowed to sell a slower version of Blackwell into China, though nothing is finalized.

CEO Jensen Huang has acknowledged that Nvidia expects little or no contribution from China in the near term. For now, most of Nvidia’s growth is coming from customers in the United States, Europe, and the Middle East.

Prediction: Nvidia maintains a conservative stance on China. Any update suggesting a policy shift or renewed shipments could provide upside optionality.

AI Cycle and Infrastructure Spending: Is There More Room to Run?

Nvidia’s story is built on the accelerating buildout of global AI infrastructure. From sovereign AI clouds to foundation model training to enterprise deployment, demand for GPU compute remains overwhelming.

Key drivers:

• Ongoing capex expansion from hyperscalers
• Broad adoption of Nvidia’s software and networking stack
• Early signs of demand for the next-gen Rubin platform, due in late 2026

Some concerns have emerged about the sustainability of AI infrastructure spending. Critics point to circular vendor-financing and rising investor fatigue. But for now, the order book appears solid, and Blackwell demand has yet to show any signs of slowing.

Prediction: Nvidia reiterates that AI spending remains robust and global. Management points to 2026 as a year of continued growth, supported by backlog and new product ramps.

Sentiment and Market Implications

The options market is pricing a move of roughly 7 to 8 percent following earnings. With Nvidia trading near all-time highs, sentiment is cautiously bullish.

Analyst ratings are overwhelmingly positive, and price targets continue to trend higher. Yet some high-profile funds, including Thiel Macro and SoftBank, have exited their Nvidia stakes, while others have placed short bets.

This report could be a market mover beyond just Nvidia. A strong print could lift the entire AI and chip sector. A miss or soft guidance, on the other hand, could lead to broad weakness across tech.

Prediction: Unless Nvidia’s outlook disappoints or margins fall short, the stock is likely to move higher post-earnings. But the bar is high, and even small stumbles may trigger outsized reactions.

Is the AI Cycle Still Just Getting Started?

Nvidia’s third-quarter report will not just reflect its own execution. It will help answer whether the AI cycle has more legs or is starting to mature. With Blackwell ramping, sovereign cloud investment growing, and hyperscalers committed to AI infrastructure, Nvidia appears well positioned.

But with valuations stretched and geopolitical risk lurking, management will need to deliver a clean quarter and a compelling outlook to keep investors fully on board.

Our call: Nvidia beats on headline metrics, reiterates strong demand for Blackwell, and leans optimistic on 2026 visibility. Unless Q4 guidance is weak or China commentary turns negative, shares are likely to move higher post-earnings, solidifying Nvidia’s place as the epicentre of enterprise AI.

Disclosure: All predictions and insights shared in this article are based on a comprehensive review of publicly available analyst reports, media coverage, and market consensus. These views are for informational purposes only and do not constitute investment advice. Please conduct your own research or consult a licensed financial advisor before making any investment decisions.

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The post Nvidia Q3 FY2026 Earnings Preview and Prediction: What to expect? first appeared on Finblog.

• A fresh stress test of the AI trade from Nvidia (NVDA)
• A reality check on the US consumer from Walmart (WMT), Target (TGT), Home Depot (HD), Lowe’s (LOW) and others
• The long-delayed September jobs report after the record 43-day government shutdown
• Plus, more signals from housing data, PMIs, and consumer sentiment – all against the backdrop of a sharp crypto pullback and shaky rate-cut expectations.

Here’s your full breakdown of what matters and why.

1. Market Mood: Flat Indexes, Nervous Investors

On paper, last week didn’t look dramatic: S&P 500 basically flat, Dow Jones up about 0.3%, Nasdaq down about 0.4%

In reality, it felt much worse.

A tech-led selloff slammed markets on Thursday, and nerves stayed high into Friday as investors digested the end of the government shutdown, shifting Fed expectations, and spreading worries from crypto and credit markets.

The Nasdaq saw a sharp intraday drop before dip-buyers stepped in. Oracle’s (ORCL) credit default swaps widened, feeding fears about pockets of stress in tech.

Bitcoin (BTC-USD) sank back below $95,000, nearly erasing its year-to-date gains and pressuring crypto-linked stocks such as Coinbase (COIN) and Robinhood (HOOD).

As Truist’s Keith Lerner put it, the bull market still “deserves the benefit of the doubt,” but sentiment is clearly wobbling. The S&P 500 is up nearly 40% since the “Liberation Day” tariff shock in April, while the Nasdaq is up more than 50% – all with no 5% pullback since that correction. A reset in optimism was probably overdue.

This week will decide whether that reset becomes a healthy pause, or something more.

2. Nvidia: The AI Trade Faces Its Biggest Test Yet

The headline event of the week (Q3 FY2026) is Nvidia’s earnings report after the close on Wednesday.

Why it’s huge:

• Nvidia is now the world’s most valuable company, with a market cap around $4.6 trillion.
• At one point, it represented roughly 8.5% of the entire S&P 500’s market cap.
• The stock is still up more than 40% year-to-date, even after a pullback from its late-October highs.

Analysts expect: Earnings per share to be up roughly 50% year-over-year, revenue to grow more than 50% as AI demand stays strong

Beyond the numbers, the real focus will be:

• AI demand sustainability: Are hyperscalers still ordering at a breakneck pace?
• Customer behavior: Any signs of double-ordering, over-stocking or “dot-com-style” excess in AI infrastructure?
• Competition: How management talks about in-house chips from Alphabet (GOOGL), Amazon (AMZN), and Meta (META).
• 2026–2027 guidance: Nvidia’s multi-year demand story is what justifies current valuations. Any hint of normalisation could hit the entire AI complex.

Morningstar and other analysts still see strong secular growth, expecting high double-digit revenue expansion into 2027 as AI spreads across cloud, enterprise, and consumer applications. That’s the bull case.

The bear case is simple: too much optimism, too fast. After a 40–50% rally in major AI names, even a “good but not perfect” print could trigger profit-taking.

Whatever Nvidia says on Wednesday night will likely set the tone for tech and AI stocks for the rest of the year.

3. Walmart, Target, Home Depot & Lowe’s: How Strong Is the US Consumer?

This week’s earnings from Home Depot, Target, Lowe’s, Walmart, TJX, Gap, BJ’s Wholesale, Amer Sports, and several other major retailers will offer one of the clearest snapshots yet of the US consumer heading into the holiday season.

Investors will be watching three big themes.

First, holiday spending and overall consumer health. Markets want to know whether shoppers are still trading down or finally stabilizing after months of pressure. Lower-income households, in particular, have been squeezed by high prices, Trump-era tariffs, and slowing wage growth. Any signs of weaker basket sizes, a shift toward essentials over discretionary items, or heavier discounting will be key signals.

Second, margin pressure and pricing power. Retailers face a difficult balance between protecting margins and avoiding price hikes that push consumers away. With import tariffs, freight costs, and labor expenses still elevated, investors will be looking closely at how much of these pressures flow into earnings — and how much retailers can absorb.

Third, strategy shifts and leadership changes. Walmart’s results arrive just days after announcing that John Furner will replace Doug McMillon as CEO on February 1, putting added focus on guidance and execution. Target, meanwhile, has been trying to reposition itself after several difficult quarters; investors want proof that the strategy is gaining traction. Home Depot and Lowe’s remain directly exposed to the housing market, so any positive commentary on renovation demand or project pipelines would offer relief to a sector that has been weighed down by rates and low turnover.

Overall, this week’s retail earnings will shape the market narrative around consumer resilience, pricing power, and the holiday outlook — key drivers for the final stretch of 2025.

If the AI trade looks stretched, the question is: Can the US consumer keep carrying the earnings cycle into 2026?
This week’s retail reports will give the clearest answer yet.

4. The Government Is Back – But the Data Still Isn’t

The 43-day government shutdown finally ended on Wednesday, clearing the way for federal agencies to restart the flow of economic data.

But the timeline will be messy.

The data calendar is still “spotty,” but this week is the first real chance for markets and the Fed to re-anchor their view of the economy after six weeks of statistical blackout.

5. Crypto’s Slide: Contained Shock or Broader Risk?

Despite JPMorgan CEO Jamie Dimon’s long-running skepticism toward crypto, the bank is quietly accelerating its blockchain push. On Wednesday, JPMorgan announced it has completed the proof-of-concept for its USD-denominated deposit token, JPM Coin (JPMD), designed for institutional clients. The token enables 24/7, near-instant settlement and can now be transferred on Base, Coinbase’s Ethereum Layer-2 network. Major players including Coinbase and Mastercard have already executed test transactions using JPMD — a clear sign that traditional finance is moving deeper into on-chain settlement despite the broader crypto downturn.

Meanwhile, the crypto market itself is going through one of its sharpest shakeouts of 2025.

• Bitcoin (BTC) is down roughly 14% this month and almost 24% below its October peak.
• Coinbase (COIN) and Robinhood (HOOD) have both fallen by high-teens percentages in November after massive rallies earlier this year.
• MicroStrategy (now rebranded “Strategy”), one of the most aggressive corporate BTC buyers, has collapsed from $455+ in July to below $200, wiping out more than half of its market cap.

So far, the pain is mostly confined to crypto assets, crypto-heavy brokerages, a few high-beta tech names, and speculative “AI + crypto” crossover trades.

But with markets increasingly concentrated in megacap AI stocks, crypto, and high-growth tech, any deeper unwinding in one of these pockets risks spilling over into the others through risk-off sentiment and forced de-leveraging.

Equity bulls argue this is simply a much-needed reset in the most speculative corner of the market. Bears counter that this could be the first crack in the liquidity-driven rally that has powered markets since April.

6. A Bull Market That Needs Proof, Not Promises

Underneath all the noise, the fundamental backdrop is still surprisingly strong:

S&P 500 earnings are on track for about 13% year-over-year growth in Q3. If that holds, it will be the fourth straight quarter of double-digit earnings growth.

Tech and AI earnings in particular have more than justified much of the rally so far.

But that strength cuts both ways: With stocks up so much since April, expectations are sky-high. There hasn’t been a normal 5–10% correction in months. Sentiment indicators like AAII show bearishness rising again, as investors get whipsawed between euphoria and panic.

This week, markets don’t just need good headlines – they need credible signals that:

1. AI demand is strong and sustainable (Nvidia)
2. The US consumer is slowing, but not breaking (Walmart, Target, Home Depot, Lowe’s)
3. The macro data are cooling without collapsing (jobs, housing, sentiment)
4. The Fed can move toward cuts without losing inflation control or market confidence.

If those pieces line up, the bull market probably keeps the benefit of the doubt into year-end. If they don’t, this could be the week where “volatility risk” turns into a real correction.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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The company has already warned that tighter US export controls may shave hundreds of millions off future sales, but investors are still betting on resilient demand for tools that power advanced semiconductors—especially high-bandwidth memory (HBM) and AI chips.

The stock is up ~40% year to date and trading near all-time highs. Now the question is: can AMAT back that rally with solid results and forward-looking confidence?

Street Forecast: Slight YoY decline, but guidance in focus

Analyst expectations land right in the middle of AMAT’s own guidance range of $6.2–$7.2 billion in revenue and $1.91–$2.31 EPS. This quarter will likely be less about a surprise beat and more about commentary on what’s next for 2026.

Semiconductor Systems: All Eyes on AI and Memory Spend

This is AMAT’s largest segment (~70% of sales), and it’s where the AI boom is most visible. Analysts expect ~$4.75 billion in Systems revenue, down 8% YoY.

While general chip demand has been lumpy, Applied’s exposure to DRAM, NAND, and HBM tools has been a bright spot. The company is benefiting from surging orders tied to AI training workloads, even as traditional logic and foundry customers manage capex cautiously.

Prediction: Systems revenue comes in at ~$4.8B, with strong AI-related orders offsetting softer traditional memory/tooling demand.

Global Services and Display: Stability Plus a Surprise Bump

The Applied Global Services unit (spare parts, maintenance) is expected to hold steady around $1.6 billion—flat YoY. This unit offers high-margin, recurring revenue and tends to be resilient in down cycles.

Interestingly, the Display and Adjacent segment is set for a surprising ~66% jump from last year, likely thanks to deferred orders finally shipping and signs of recovery in OLED and mobile display investments.

Prediction: Steady Services revenue, with a better-than-expected print from Display adding a positive surprise.

China and Trade Headwinds: $600M Drag Ahead?

Geopolitics is the wildcard. The Trump administration’s updated export controls—restricting shipments to Chinese chipmakers and expanding the entity list—hit AMAT directly. The company already said the new rules will cost it ~$110 million in Q4 revenue and could cut $600 million from fiscal 2026 sales.

China was nearly 35% of AMAT’s Q3 sales, so the loss of licenses and paused orders from Chinese fabs could weigh heavily if restrictions persist.

Investors will be watching for:

• Updates on any U.S. export license approvals
• Guidance on how much China sales are baked into 2026 plans
• Commentary on demand from domestic (U.S.) and Taiwan fabs

Prediction: No major resolution on China this quarter; management remains cautious and reiterates ~$600M FY26 impact.

The AI Semiconductor Supercycle: Still Intact?

AI infrastructure demand continues to drive tool orders across the chip supply chain. HBM3 memory, AI accelerators, and 3D packaging techniques are all ramping, and AMAT is uniquely positioned in areas like etching, deposition, and inspection for cutting-edge nodes.

Major foundries like TSMC and Samsung are running near full capacity for AI-related chips, and hyperscalers are plowing billions into custom silicon. This long-term thesis remains bullish.

Prediction: AMAT reinforces confidence in multi-year AI growth, with particular strength in memory and advanced logic tooling.

Investor Sentiment: Bullish but Watching Export Risks

Wall Street remains largely positive:

• Morgan Stanley, BofA, Barclays have price targets above $245 and rate the stock Overweight.
• Bulls point to strong pricing power, leading-edge exposure, and expanding gross margins.
• Bears worry about order lumpiness and China dependence. CFRA recently lowered its PT to $167, citing lingering export concerns.

Options imply a post-earnings move of ~4%. The bar is not especially high—but guidance and tone will drive the stock’s direction.

Execution Strong, But Politics Still Cloud the Picture

Applied Materials is executing well operationally and has exposure to all the right tech trends—AI, HBM, 3D packaging, energy-efficient chips.

But investors know that no matter how strong the demand is, geopolitical friction can still derail growth. This quarter is likely to be inline with expectations, but commentary on 2026 China sales and AI order momentum will matter most.

Our call: AMAT delivers around $6.7B revenue and $2.11 EPS, as Wall Street estimated. No major upside surprise, but sentiment stays positive if management shows confidence in 2026 despite export pressure.

Disclosure: All predictions and insights shared in this article are based on a comprehensive review of publicly available analyst reports, media coverage, and market consensus. These views are for informational purposes only and do not constitute investment advice. Please conduct your own research or consult a licensed financial advisor before making any investment decisions.

The post Applied Materials(AMAT) Q4 2025 Earnings Preview and Prediction: What to expect? first appeared on Finblog.