The Magnificent Seven Just Reached a Decade-Low Valuation. Here's What's Behind It

The Magnificent Seven have collectively gone nowhere in 2026. The S&P 500 is up 9.3% in the first half of 2026 while the Bloomberg Magnificent Seven index has lost 1.9% over that same period. That 11-point spread is the group's second-worst start to a year on record relative to the broader market.
The core problem is spending. The Magnificent Seven's collective capital expenditures on AI infrastructure are projected to balloon 70% and exceed $700B this year, according to Morgan Stanley analysis cited by Yahoo Finance.
That spending has eaten into cash generation. Forecasts show the Magnificent Seven's free cash generation declining significantly from 2024 levels over the next 12 months.
Sentiment around that spending has turned negative. Deutsche Bank strategist Jim Reid flagged growing apprehension about capital expenditures from the largest hyperscalers.
Concerns about a potential Federal Reserve rate hike later this year add further pressure, since higher rates increase the cost of financing large infrastructure projects.
In parallel, investors rotated into a cleaner AI trade. The Philadelphia Semiconductor Index is up 78% this year.
The Roundhill Magnificent Seven ETF is flat since January. Money moved toward chipmakers as the more direct beneficiary of AI infrastructure spending, leaving the hyperscalers behind.
The underperformance has produced a historically unusual setup on valuations. Once commanding a 30%+ premium over the broader market, the group now trades at only a 10% premium to the rest of the S&P 500, according to Morgan Stanley.
The pack's collective P/E multiple has compressed to 23.9 from 32.6 in late October.
Goldman Sachs strategist Ben Snider noted that current P/E levels are comparable to those seen in March 2020 and October 2022, both moments that preceded significant recoveries.
Empower Investments chief investment strategist Marta Norton described the group as trading at valuations similar to a broad basket of US stocks, calling the Magnificent Seven her highest-conviction investment idea.
The Magnificent Seven collectively make up roughly a third of the S&P 500. Wall Street's average year-end target for the index sits at ~7.8K, implying about 5% upside from recent levels.
If the Magnificent Seven stay flat, the remaining 493 stocks would need to rally an additional 6.8% by December to hit that target, on top of the 13% they've already gained this year.
Alonso Munoz, chief investment officer at Hamilton Capital Partners, said the Magnificent Seven have a significant impact on whether indexes finish higher or lower.
Wells Fargo Investment Institute's Sameer Samana argued the S&P 500 could theoretically reach the target without the group's help, but SimCorp's Melissa Brown noted that the remaining stocks carry lower index weights, meaning they'd need much larger individual returns to move the needle.
Morgan Stanley's Mike Wilson recently argued that capital will rotate from semiconductor stocks back toward hyperscalers, since semiconductors are dependent on hyperscaler spending and the divergence between the two groups was likely unsustainable.
Morgan Stanley Wealth Management CIO Lisa Shalett described semiconductor stocks as meaningfully overbought and called for rebuilding exposure to hyperscalers.
Meta's recent move to sell AI compute to third parties is one early signal that the group may be starting to convert heavy spending into actual cash flow.
Analyst Dan Ives forecasts a strong second-half rebound for the cohort, predicting substantial outperformance by year-end. Bill Ackman's Pershing Square recently built large stakes in Microsoft and Amazon.
"Hyperscalers own the toll road, not just the car."
Rich Privorotsky, Goldman Sachs
Apple trades just 1% below its all-time high after a 20% gain over three months. Nvidia recently broke above a two-month downtrend and found support at its 200-day moving average.
Whether those technical recoveries translate into a broader Magnificent Seven rebound depends largely on whether the market starts rewarding AI spending plans or keeps punishing them.