Nvidia Stock Crashes 9% Taking Wall Street’s AI Darling Down Nearly 25% from Top: Opportunity or Trap?

For much of the artificial intelligence boom, the investment story kept coming back to one company. An AI lab wanted to build a more powerful model. A cloud company wanted to offer more computing capacity. Nvidia supplied the hardware that helped make those ambitions possible.

On November 5, that favourite of Wall Street fell 9.26% to $181.60. Roughly $447 billion in market value disappeared in a single session for Nvidia, according to Dow Jones Market Data reported by Barron’s. Nvidia stock is now 24.1% below its record closing price, bringing its decline to nearly a quarter of its value.

That is a frightening chart. It also creates an uncomfortable question: has the business weakened anything like as much as the share price?

The answer begins somewhere you might not expect. This selloff is partly about what happens when the world’s most powerful chips have to wait for buildings, electricity and permission to use them.

How Far Has Nvidia Stock Fallen From Its Peak?

There are two ways to measure the fall, and both explain the “nearly 25%” headline.

Source: Yahoo Finance historical prices; drawdowns calculated as November 5 closing price divided by the relevant peak, minus one. Closing-price and intraday-price comparisons are shown separately.

Even before Thursday’s crash, Nvidia had fallen 16.3% from its record close. The latest session accelerated a decline that was already well under way.

Why Did Nvidia Stock Crash on November 5?

The immediate concern was that the next stage of America’s AI expansion could become harder to build.

Reuters linked the semiconductor selloff to fears that the Democrats’ midterm election victories could bring greater scrutiny of AI infrastructure. In Texas and Georgia, candidates who had campaigned partly on moratoriums on new data centres won gubernatorial races. Opposition to these projects has centred on electricity demand, water use and their impact on surrounding communities.

For Nvidia, that matters even though it does not need to own the building in which its chips operate.

An AI company can want more computing power. It can raise money and place orders. But turning that demand into a working facility requires land, a completed building, cooling equipment and a reliable power connection. If one of those arrives late, the customer may need its chips later too.

That is how a debate over a data centre can reach Nvidia’s share price. Investors start questioning the delivery dates, and therefore the timing of future revenue and profit, behind their forecasts.

Election promises, however, do not tell us how many Nvidia orders will be delayed or cancelled. The market is pricing a risk of future restrictions. Turning that risk into an exact earnings loss requires evidence about actual projects and purchasing decisions.

Why Did Other Chip Stocks Fall Too?

Qualcomm’s results added to the pressure. Reuters reported weaker-than-expected smartphone-chip sales, creating another reason for investors to reduce exposure to semiconductors. A smartphone-chip shortfall does not establish that demand for Nvidia’s AI accelerators has weakened; it did arrive when confidence across the sector was already fragile.

The wider market shows how broad the retreat became. The Nasdaq Composite finished down 5.5%, while the S&P 500 lost 4.4%. Nvidia’s decline was substantially worse, but it happened during a market-wide retreat led by businesses tied to AI data centres.

There was also a possible amplifier. Reuters reported that investors were cutting risk ahead of potential selling by funds and strategies that adjust their exposure as volatility rises. Such selling can make a decline feed on itself: bigger price swings lead to smaller positions, adding further pressure to prices. That helps explain the violence of a move, without establishing where the stock should ultimately trade.

Why Was Nvidia Stock Falling Before This Crash?

The question hanging over AI spending had already begun to change. Investors wanted to know when the companies paying for all this infrastructure would earn enough from it to justify the bills.

On October 8, a report about OpenAI’s annualised revenue unsettled AI-related shares. MarketWatch reported that analysts disputed the bearish interpretation because differences in reporting methods could explain the apparent shortfall. It was a reminder of how sensitive chip stocks had become to the finances of companies further down the AI chain.

By October 30, Intel’s weak outlook had added concerns about PC demand, rising memory costs and the strain of the AI infrastructure race. Nvidia closed that session down 4.22%. Intel’s difficulties were specific to its own business, but the reaction showed how readily investors were applying disappointing news across the chip sector. 

There is an important mechanism behind that anxiety. Nvidia earns revenue when it supplies computing equipment. Its customers must then turn that equipment into services that generate enough revenue to cover hardware, electricity, financing and other costs.

A strong supplier can therefore have customers whose economics are becoming more demanding. If those customers become more cautious about their returns, their purchasing decisions can eventually reach the supplier.

We examined that wider chain in our earlier breakdown of why Nvidia, Intel, AMD, Broadcom and Micron stocks were falling. Thursday’s election-related concerns landed on top of that existing uncertainty.

Has Nvidia’s Business Weakened as Much as Its Share Price?

Nvidia’s latest reported quarter ended July 26, 2026. Its second-quarter FY2027 results, released on August 26, show rapid growth.

Source: Nvidia’s Q2 FY2027 release. The final row is August guidance.

Jensen Huang described accelerating demand: “Now, compute is revenue.” Management’s argument is that customers can earn money from AI computing and therefore have a reason to keep investing.

That provides evidence for the opportunity argument. The stock market is debating how much of this strength will persist.

Its technology is also moving forward. On November 4, Nvidia announced general availability of Vera Rubin support in CUDA 13.5, alongside updates to its software tools and libraries. The competitive case extends beyond the chip: software, networking and the work developers have already done on Nvidia’s platform can all affect the cost of switching. That is our interpretation of why the broader platform matters.

Are Nvidia’s Customers Actually Cutting AI Spending?

Recent company statements make that claim difficult to support as a blanket explanation.

Microsoft reported $45.2 billion of quarterly capital expenditure, including finance leases, and said some third-party capacity deliveries had been delayed. Yet it expected spending to exceed $50 billion in the following quarter and reach approximately $170 billion for calendar 2026. Management also said customer demand continued to exceed available supply.

That combination is particularly useful for understanding Nvidia as spending can arrive later even while customers still want the capacity. A delay can hurt near-term forecasts without establishing that the entire project has lost its purpose.

Alphabet also maintained its 195-205 billion capital expenditure guidance for 2026 and expected a significant increase in 2027. These are enormous planned investments, providing a concrete counterweight to the idea that large customers have collectively abandoned the AI buildout.

However, a spending budget is a plan. The practical test is how much equipment is delivered, installed and put to work, and whether the resulting services earn satisfactory returns. That is where the next stage of the Nvidia story will be decided.

What Risks Does a Lower Nvidia Share Price Leave Unresolved?

More AI Spending Does Not All Become Nvidia Revenue

A data-centre budget covers much more than accelerators. It includes buildings, power, networking, storage, cooling and equipment from other suppliers. A large headline spending figure cannot simply be treated as Nvidia’s future sales.

Some of that investment also supports alternatives to Nvidia. Alphabet said it was expanding the availability of its own TPU systems, including sales for customers’ data centres. Its growing AI business therefore represents both demand for computing infrastructure and competition within it.

Nvidia can remain a leading supplier while customers spread more workloads across competing systems. Its future earnings depend on the share of spending it captures, the prices it can charge and the costs of delivering each new generation.

Nvidia Has Made Large Commitments of Its Own

One revealing number sits in Nvidia’s quarterly filing: supply and capacity commitments rose from $119 billion in the previous quarter to $279 billion as of July 26. The company said these arrangements secure components and manufacturing capacity for demand over several years.

These commitments are neither an immediate $279 billion expense nor a backlog of customer revenue. They are obligations made to prepare for future production.

Securing capacity can be a strength when demand arrives as expected. If purchasing slows or shifts between product generations, it can make managing inventory and production more difficult. This is why delays deserve attention even when the long-term AI opportunity remains large.

China Remains a Constraint

Nvidia’s August guidance already assumed no Data Centre compute revenue from China. Restricted access remains a risk to future growth, but that forecast was built without China’s contribution.

Is Nvidia Stock Actually Cheap After a Nearly 25% Fall?

This is where the decline becomes interesting. A lower price offers more room for things to go wrong, provided the profit expectations used to value the business remain credible.

Published analyst consensus estimates showed adjusted earnings per share of approximately $9.31 for FY2027, ending in January 2027, and $15.91 for FY2028, ending in January 2028. These are analysts’ estimates, rather than Nvidia’s earnings guidance. [13]

At $181.60, the calculations are:

Sources: Yahoo Finance analyst estimates, cross-checked against Twelve Data; multiples calculated using the November 5 closing price. Both rows use forecast adjusted earnings. FY2028 is a later fiscal year, not the next twelve months.

A price-to-earnings multiple tells you how much investors pay for each dollar of annual earnings. On those forecasts, Nvidia’s valuation looks substantially less demanding than its reputation as a stock priced for endless AI enthusiasm might suggest.

But the second row assumes earnings grow roughly 71% from the first. A low multiple calculated using a very ambitious profit forecast can be deceptive if that forecast falls. Consensus can also take time to incorporate the risks reflected in a sudden stock-market selloff.

The useful question is how much disappointment today’s price can absorb.

How Much Earnings Disappointment Would Remove the Apparent Discount?

For illustration, suppose the market values Nvidia at 15 times FY2028 adjusted earnings.

Holding that multiple constant lets us examine the effect of different earnings outcomes:

Author’s sensitivity analysis. Values equal assumed EPS multiplied by 15; percentage differences use $181.60 as the starting price. These are conditional valuation examples, not price targets, forecasts or assigned probabilities. They exclude dividends, currency movements and transaction costs.

At this assumed multiple, today’s price requires annual adjusted EPS of about $12.11. That is roughly 24% below the published FY2028 consensus; a meaningful amount of room for disappointment under this particular assumption.

The final row shows the other side. Nvidia could earn $10 a share, still more than the FY2027 consensus, and the model would produce a value below today’s price. Profits can grow while a share price falls if the growth disappoints what investors previously expected.

The market’s chosen multiple matters too. Investors could pay more than 15 times earnings if they become more confident about durable growth, or less if they believe profits are approaching a cyclical peak. A percentage decline from the old high cannot settle either question.

Is This a Reason to Panic or an Opportunity to Reassess Nvidia?

The lower valuation has made the investment case more interesting, but the strength of that case rests on future earnings surviving the current doubts.

The evidence available so far supports a more measured assessment than the price chart alone. Nvidia’s latest results show rapid growth and high profitability. Major customers are still planning substantial expenditure, and there is direct evidence that some capacity has been delayed while demand remains strong.

That gives the opportunity argument substance. If infrastructure delivery improves and Nvidia retains its competitive position, today’s lower price could prove to have offered a generous allowance for temporary disruption.

The concern becomes more serious if project delays spread, customers struggle to earn adequate returns, or competing systems capture more spending than earnings forecasts assume. Those developments would reduce the profits supporting the apparently attractive valuation.

Calling this the “ultimate dip” would require confidence about those outcomes that a single trading session cannot provide. Equally, a violent decline does not by itself establish that Nvidia’s competitive position has collapsed. The useful response is to identify the earnings assumptions that support the price and watch whether the evidence continues to support them.

What Should Investors Watch in Nvidia’s Next Earnings Report?

Nvidia will report Q3 FY2027 results on November 17 in the US. Its scheduled release time of approximately 1:20 pm Pacific translates to 2:50 am IST on November 18, with the earnings call at 3:30 am IST.

Four questions matter most:

1. Is revenue arriving on time? Compare the result with the existing guidance, then examine the next quarter’s outlook and any explanation of shipment delays.
2. Are customers changing orders or delivery dates? Postponed installation and lost demand have different implications for future sales.
3. Is profitability holding up? Q3 gross-margin guidance is 74%, plus or minus half a percentage point. Watch the outlook for costs and pricing.
4. Are the projects behind future growth becoming operational? Customer spending announcements carry more weight when the buildings, power connections and computing equipment are ready to generate revenue.

The strongest evidence for an opportunity would be a lower share price followed by earnings and delivery schedules that remain broadly intact. The strongest warning would be a sustained deterioration in those expectations. At $181.60, the question is how much profit Nvidia can deliver and how long investors will have to wait for it.