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A protester waves the upside down U.S. flag during the
An inversion of the norm in US stocks (Getty Images)

War and AI doubts have fueled an unprecedented divergence between stock prices and earnings estimates

The S&P 500 has never been down this much when earnings estimates have risen by this much, based on data going back to Q2 1990.

Luke Kawa, David Crowther

Over the long term, earnings drive stock prices.

But in the here and now, we’re experiencing an unprecedented divergence between the S&P 500’s earnings estimates and the performance of the benchmark US stock index, driven by skittishness about the return of oil shipments through the Strait of Hormuz and the long-term ROI for the hundreds of billions in AI capex.

Over the three months ended March 27, analysts have ratcheted up their projected bottom-line results for the largest US publicly traded companies by 8%. Over the same time, those stocks are down 8%. Stocks have never been down this much when earnings estimates have risen by this much, based on data going back to Q2 1990.

Stock Prices vs Earnings estimates

The closest such episodes to the present environment were in mid-2010 amid fears of a double-dip recession following the financial crisis, and in 2018 following a short-lived blowup in volatility markets.

For what it’s worth, every S&P 500 downturn of at least 14% from a bull market high since the financial crisis has only bottomed after forward earnings estimates start to come under the knife.

Oil price spike not recession fuel (yet)

The world in which these earnings estimates are realized is incompatible with a long-lived oil disruption that sparks a US economic downturn. Oil price spikes are infamously a drag on other parts of consumers’ spending; accordingly, durables and household personal products are the worst two industry groups in the S&P 500 since the end of February.

But as a general matter, markets do not appear to be pricing in elevated recession risk. For all the conniptions in private credit, public high-yield credit isn’t screaming. Spreads in US junk bonds (excluding energy!) are still below their average level since the start of 2015.

Heck, even the oil markets haven’t shown the same degree of alarm (even at the front end!) despite a more meaningful supply shock than what followed Russia’s invasion of Ukraine. Stock markets have the luxury of being more forward-looking than commodity markets, because commodity markets must clear in spot: oil has to be delivered to a certain place at a certain time at this agreed-upon price. WTI oil futures for delivery in May have to reflect supply/demand dynamics in May, not a rose-colored view of a future where we’ve gone from conflict to kumbaya. That’s the danger associated with imagining $150-per-barrel oil to be as unlikely and impractical as 150% tariffs on Chinese imports.

Megacaps, Megapain

Of course, this unprecedented divergence between earnings (higher) and stocks (lower) is over three months; the war has only been going on for one. The unwillingness to buy into megacap AI stocks — especially hyperscalers, but also Nvidia — despite rising earnings estimates predates the Mideast conflict. Risk-off sentiment has weighed on stocks generally, but the Magnificent 7 have lagged since the attacks commenced. 

For some time now, investors have been of the view that 2026 earnings don’t really matter for the hyperscalers and have more creeping doubts on whether this capex binge will prove worth it in the long run — or whether the most meaningful impact on these companies will be the destruction of their free cash flow generation amid these aggressive build-outs. And Nvidia’s fate has been tied to the perception of its biggest customers.

The war started off as a major rotation trade. Three major trades that had been tumbling — software vs. semiconductors, US stocks vs. the rest of world, and the Magnificent 7 vs. S&P 500 equal weight — all enjoyed some nascent reversals in the early days of the war. Of those three, Mag 7 versus equal weight is the only one that’s given up all of that rebound and then some.

No Trump card? 

In some respects, the current market situation is similar to 2025. The Q1 peak in stocks came when Walmart, a major component in momentum indexes, issued a poor full-year outlook and once high-flying stocks got clobbered. It started as a momentum-centric rather than tariff-centric sell-off.

This time around, the difference is that many parts of the AI trade (especially the megacaps) didn’t have any momentum coming into this. A theme that investors had already been souring on is continuing to unwind.

“Trump Always Chickens Out” (or TACO) is a popular explanation for why markets haven’t reacted more negatively to the prospect of significant negative economic impacts from this oil supply shock.

It’s also worth remembering that a game of chicken involves two sides barreling toward each other at high speed, and that the chicken only ducks conflict when presented with imminent, catastrophic loss. 

Both investors (and the president) have been increasingly conditioned to react late when faced with (or bringing forward) negative market catalysts.

And President Trump isn’t the only party with a vote on this matter. While he can change his mind on how much military action in the Middle East is appropriate as the facts on the ground (and market conditions) evolve, that doesn’t mean leaders in Iran (or Israel) will be moving in lockstep.

None of the market fundamentals, the most impacted asset, or the stock market price action have caused a white-knuckle moment just yet.

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Figma spikes after raising full-year sales outlook as the software company leverages AI for growth

Figma jumped postmarket Thursday after posting impressive sales in Q1, surpassing Wall Street expectations and raising its full-year guidance. The key numbers:

  • Q1 revenue of $333.4 million (compared to analyst estimates of $316 million).

  • Q2 sales guidance of $348 million to $350 million (estimate: $329.7 million).

  • Full-year revenue between $1.422 billion and $1.428 billion (up from previous guidance of $1.37 billion).

The digital design software firm is the latest company to diminish investor fears about AI-induced disruption by making the technology work for them. Like Atlassian or Datadog, Figma said it was able to use AI to its advantage, bringing more customers on board and getting them to spend more.

In the press release, Praveer Melwani, Figma CFO, said:

As AI gets better, Figma is accelerating and customer usage and workflows on our platform are deepening. Our platform and AI products drove faster growth for both new customer acquisition and expansion within existing accounts.

Revenue grew 46% year over year in Q1 2026, an acceleration from growth of 40% in Q4 2025.

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Infleqtion reports Q1 adjusted loss, offers modest boost to full-year sales guidance

Infleqtion is falling in postmarket trading after reporting a Q1 adjusted loss from operations of $13.2 million and sales of $9.5 million.

Management modestly upgraded its sales guidance to “at least” $40 million for 2026, adding that language to enhance the target provided in early April. Revenues of $40 million would mark an increase of roughly 23% compared to the $32.5 million generated in 2025, and an acceleration from growth of 12% last year.

The company utilizes neutral-atom technology to make quantum sensors used in clocks and antennas in addition to computers.

“Q1 reinforced our confidence that quantum is gaining momentum as the market shifts toward deployable systems, real applications, and measurable customer value,” said CEO Matt Kinsella. “Across computing, sensing, and software, we are seeing expanding customer activity especially in national security, space, and hybrid quantum-AI applications.”

Shares are roughly flat since February 13, which is just before the company went public via a SPAC, after being down 35% near the end of March, and then up nearly 30% in mid-April.

The quantum computing space benefited from the return of speculative appetite in April after the US and Iran agreed to a ceasefire. The cohort was later bolstered after Nvidia unveiled a suite of open models designed to leverage AI to improve calibration and error correction for quantum computers.

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Applied Materials rallies after better-than-expected Q2 results, strong sales guidance

Shares of Applied Materials are gaining in postmarket trading after the company reported robust Q2 results and a sales outlook that indicate building momentum.

  • Net sales: $7.9 billion (compared to analyst estimates of $7.7 billion and guidance for $7.65 billion, plus or minus $500 million).

  • Adjusted earnings per share: $2.86 (estimate: $2.68, guidance: $2.68, plus or minus $0.20).

For Q3, the company anticipates net sales of $8.95 billion (plus or minus $500 million; estimate: $8.15 billion) with adjusted EPS of $3.36 (plus or minus $0.20; estimate: $2.88).

“The growth in AI that Applied has been investing for is now in full force,” CFO Brice Hill said in the press release.

Management has consistently indicated that it expects demand to pick up in the second half of this year, but its first-half results have already blown away expectations by a wide margin. All this appetite for semiconductors to support AI compute is fantastic news for companies like Applied Materials that make the equipment to produce these specialized chips.

Shares of Applied Materials closed near a record high ahead of this report, up more than 70% year to date.

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Snap falls after Meta rolls out new “Instants” feature

Here today, gone tomorrow is a winning idea — according to Wall Street.

Shares of Snap are down nearly 5% Thursday afternoon after Meta announced Instants, a new feature and companion app that allows users to share spontaneous, unfiltered photos that disappearing after viewing. Remind you of anything?

Snap has fallen roughly 34% this year, while Facebook and Instagram parent company Meta has dipped 5% over the same time frame. Last week, Snap reported earnings that showed the social media company losing out on ad sales.

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