Wall Street has spent much of 2026 questioning whether the Magnificent Seven stocks had finally become too expensive after years of dominating the U.S. equity market. JPMorgan now argues that investors may be looking at the problem backwards. After a sharp compression in valuations, the group’s forward price-to-earnings premium relative to the broader market has fallen to a 10-year low, suggesting that one of the biggest forces working against mega-cap technology stocks may be approaching its limit.
The shift is striking because it has occurred without the kind of catastrophic technology selloff normally associated with a valuation reset of this magnitude. The Magnificent Seven — Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta Platforms and Tesla — have generally continued producing strong earnings while their valuation multiples have fallen. Research from Neuberger Berman estimates that the group’s forward P/E has compressed from roughly 33 times earnings to around 23 times over the past year, while the broader S&P 500 excluding the Magnificent Seven moved only from approximately 20 times to 18 times.
JPMorgan’s equity strategy team, led by Mislav Matejka, argues that the relative valuation reset has now become unusually severe. The Magnificent Seven’s 12-month forward P/E relative to the market sits near one standard deviation below its historical median and at its lowest level in a decade. That does not mean the stocks are objectively cheap or that another correction cannot occur. It does mean, however, that the familiar argument that investors are paying an unprecedented premium simply to own America’s largest technology companies has become considerably harder to make.
The bigger question is what happens next. If earnings continue growing while multiples stop shrinking, the mathematics behind the Magnificent Seven could suddenly become much more favorable. But there is one enormous risk hanging over that thesis: the companies are spending unprecedented amounts of money on artificial intelligence, and Wall Street is beginning to demand proof that those investments can produce returns.
The Magnificent Seven Just Went Through a Reset Without a Crash
What makes the latest valuation shift unusual is how quietly it happened.
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Investors often associate falling valuation multiples with collapsing share prices. During the dot-com bust, for example, technology valuations compressed because stock prices plunged. The current cycle has been different. Earnings expectations have risen quickly enough that valuations have declined even while many of the largest technology stocks remained extraordinarily valuable.
Neuberger Berman estimates that the Magnificent Seven’s forward P/E has fallen by roughly 10 multiple points over the past year, from around 33 times earnings to approximately 23 times. The S&P 500’s overall forward multiple declined from roughly 23 times at its October 2025 peak to around 19 times, while the rest of the index experienced a much smaller compression.
Separate data from First Trust showed the Bloomberg Magnificent 7 Index trading at approximately 26 times forward earnings as of September 11, compared with roughly 21 times for the S&P 500. The exact multiple varies depending on methodology, earnings estimates and index construction, but the direction is consistent: the premium investors are paying for mega-cap technology has narrowed substantially.
That is what JPMorgan believes matters most. Investors have spent months worrying about elevated absolute valuations, but the relative premium attached to the Magnificent Seven has already undergone a dramatic adjustment. If the companies continue delivering faster earnings growth than the rest of the market, a smaller valuation premium could become easier to defend.
And so far, earnings have given the bulls plenty of ammunition.
The Earnings Numbers Explain Why JPMorgan Is Paying Attention
The valuation reset would be far less interesting if Magnificent Seven earnings were deteriorating. Instead, profits have continued growing at a pace that most of corporate America cannot match.
FactSet calculated that the seven companies collectively delivered earnings growth of 63.2% during the first quarter of 2026, their strongest performance since the second quarter of 2021. Every member of the group reported a positive earnings surprise, and their aggregate earnings exceeded analyst estimates by 32.5%.
More recent JPMorgan Asset Management data point to continued outperformance. The firm expects Magnificent Seven earnings to grow around 57% in 2026, compared with approximately 23% for the other 493 companies in the S&P 500.
That gap changes the valuation conversation. A company trading at a higher earnings multiple is not necessarily expensive relative to the market if its profits are also expanding substantially faster. What investors must decide is whether that growth advantage can persist long enough to justify the premium.
The Magnificent Seven are not homogeneous in that respect. Nvidia remains heavily exposed to AI accelerator demand, while Microsoft, Amazon and Alphabet are using their cloud businesses to monetize AI infrastructure. Meta is attempting to translate AI investment into stronger advertising economics and new consumer products. Apple’s growth profile depends more heavily on its enormous installed base and ecosystem, while Tesla carries a valuation shaped by expectations extending far beyond its current automotive earnings.
Treating all seven as a single trade therefore has limitations. Yet collectively, the group remains an enormous source of S&P 500 earnings growth, which is why its declining relative valuation is attracting attention.
There Is Another Reason the Premium Has Shrunk: The Rest of the Market Is Catching Up
Part of the Magnificent Seven valuation reset has little to do with Big Tech weakening. Earnings growth across the rest of corporate America is finally broadening.
Research published by Aranca estimates that companies outside the Magnificent Seven could account for roughly 69% of incremental S&P 500 net income in 2026 and approximately 85% in 2027. If those forecasts prove accurate, the market would become considerably less dependent on a handful of technology giants for profit growth.
That broadening helps explain why smaller companies and equal-weighted indices have performed more competitively this year. Through September 11, the S&P SmallCap 600 had gained 17.6%, while the S&P 500 Equal Weight Index was up 11.9%. The Bloomberg Magnificent 7 Index had returned only 6.2% over the same period.
For several years, investors were willing to pay increasingly large premiums for mega-cap technology partly because growth elsewhere was scarce. If banks, industrial companies, healthcare businesses and smaller technology companies begin delivering stronger profits, investors no longer need to crowd into seven stocks to find earnings growth.
That is healthy for the broader market, but it also forces the Magnificent Seven to compete for capital on more normal terms.
The important development is that much of this adjustment has already happened. The stocks have underperformed while earnings expanded, allowing valuation multiples to fall without requiring a devastating collapse in share prices.
JPMorgan’s argument is effectively that this process may now be mature enough that valuation compression alone becomes less threatening.
AI Spending Is the Giant Risk Hiding Behind Cheaper Valuations
There is, however, a reason investors have become less willing to pay enormous multiples for Big Tech.
The companies are spending money at a pace that would have seemed almost unimaginable only a few years ago.
Reuters reported earlier this year that capital expenditures among the Magnificent Seven were expected to increase approximately 33% in 2026 as companies raced to construct AI data centers, acquire accelerators and expand cloud infrastructure. Borrowing has also accelerated, with the group issuing $134 billion of bonds by May, already exceeding total issuance for all of 2025.
The spending has continued to intensify. Reuters estimates that Microsoft, Alphabet, Amazon, Meta and Oracle are on a trajectory where combined capital expenditures could exceed their free cash flow by 2027. For every additional dollar of operating cash flow these companies are expected to generate, approximately $1.57 could be absorbed by incremental spending.
This is a major change in the Big Tech investment story. The Magnificent Seven historically attracted investors partly because several members generated extraordinary amounts of free cash while maintaining fortress-like balance sheets. AI is transforming them into far more capital-intensive businesses.
That does not necessarily make the spending a mistake. Microsoft, Alphabet, Amazon and Meta are already generating revenue from AI-related services, while Nvidia continues benefiting from the infrastructure race itself. But the higher the spending climbs, the greater the eventual revenue required to produce acceptable returns.
Cheaper valuations therefore come with a condition: the earnings estimates supporting those valuations must survive the AI spending boom.
The Bond Market Could Decide How Far the Next AI Wave Goes
Another risk is emerging outside the stock market.
As technology companies increase borrowing to finance AI infrastructure, they are becoming more sensitive to conditions in the corporate bond market. That matters because higher Treasury yields and wider credit spreads can raise the cost of financing precisely when data-center construction requires unprecedented amounts of capital.
Bank of America strategist Michael Hartnett, who popularized the “Magnificent Seven” label, recently highlighted this changing relationship. The companies became dominant partly because of their enormous cash generation and limited need for external financing. With AI investment accelerating, some of that advantage is being eroded as technology companies become increasingly dependent on capital markets.
The implications could become particularly important if inflation remains persistent and bond yields stay elevated. Expensive financing would raise the hurdle rate for new data centers, while higher discount rates can simultaneously pressure the valuations investors are willing to assign to future technology earnings.
That creates an unusual situation. The Magnificent Seven’s valuation reset may indeed be largely complete relative to historical norms, as JPMorgan argues, but macroeconomic conditions could still create another leg lower if bond yields rise enough.
The next valuation battle may therefore have less to do with whether 23 or 26 times earnings is historically expensive and more to do with whether AI investments generate adequate returns in a higher-cost capital environment.
Meta’s Recent Surge Shows How Quickly the Narrative Can Change
Recent market action demonstrates how rapidly individual Magnificent Seven stocks can reprice when investors see evidence of AI monetization rather than simply AI spending.
Meta shares surged more than 20% following the September launch of its Muse AI assistant, adding roughly $200 billion to the company’s market capitalization. JPMorgan analysts said the product could potentially become one of the most widely used consumer AI applications, while its rapid early adoption renewed enthusiasm around Meta’s ability to convert artificial intelligence into a direct consumer business.
The significance extends beyond Meta. For much of the AI boom, investors rewarded companies for announcing larger capital expenditure budgets because computing capacity itself was scarce. That phase is evolving. Markets increasingly want to see what those GPUs and data centers actually produce.
Companies that demonstrate tangible revenue, margin improvements or new AI businesses may be able to command higher valuations again. Those that continue spending aggressively without corresponding monetization could face further compression.
That divergence could make the “Magnificent Seven” label less useful over time. The seven companies may share enormous market capitalizations and substantial AI exposure, but their earnings drivers, spending requirements and valuations are increasingly different.
The Valuation Reset May Be Ending — but the Easy AI Trade Is Not Coming Back
JPMorgan’s latest analysis offers an important counterpoint to the argument that America’s largest technology stocks remain dangerously expensive simply because they dominate major equity indices. The Magnificent Seven’s relative forward P/E has fallen to a 10-year low, while other measures show the group’s absolute valuation multiple has compressed dramatically from its 2025 peak.
At the same time, earnings continue growing substantially faster than those of the broader market. If profits keep expanding and valuation multiples merely stabilize, investors would no longer need another wave of multiple expansion to generate stronger share-price performance.
But the next phase will be harder.
AI capital expenditures are consuming increasing amounts of cash, borrowing is rising and the bond market is becoming more important to the economics of technology infrastructure. Meanwhile, earnings growth across the rest of the S&P 500 is broadening, giving investors alternatives that trade at lower multiples.
That leaves the Magnificent Seven at an unusually important turning point. The valuation excess that worried Wall Street has already been reduced substantially. What has not been resolved is whether the hundreds of billions of dollars being poured into artificial intelligence will produce returns large enough to support the earnings forecasts underneath today’s valuations.
JPMorgan may be right that the valuation reset is approaching its end. If so, the next move in Magnificent Seven stocks will depend much less on how much investors are willing to pay for the AI story — and much more on how much money that story actually makes.
Disclaimer
This article is for informational purposes only and does not constitute financial or investment advice. Readers should conduct their own research or consult a qualified financial advisor before making investment decisions. This article was researched and drafted with the support of AI, but was reviewed, fact-checked, and edited by the editorial team before publication.
