S&P 500 Earnings Forecast Jumps to 32% on AI Boom

Highlights

Full-year 2026 S&P 500 profit growth is now projected at 32% year-over-year, up from a roughly 24% estimate before Q2 earnings season began
86% of S&P 500 companies beat earnings estimates last quarter, the highest beat rate since Q2 2021
Companies topped estimates by an average of 29.2%, the largest surprise margin FactSet has recorded since it began tracking the metric in 2008
Second-quarter EPS growth came in at 32% year-over-year, building on a 30% gain in the first quarter

Wall Street has revised its earnings math for 2026 sharply higher, and the reason is almost entirely artificial intelligence. Full-year profit growth across the S&P 500 is now projected at 32% year-over-year, up from a roughly 24% estimate that analysts were working with before the second-quarter earnings season began just weeks ago.

The revision follows an unusually strong earnings season. Bloomberg reported that 86% of S&P 500 companies beat analyst expectations in the second quarter, the highest beat rate since the second quarter of 2021 and well above the five- and ten-year averages of 78% and 76%, respectively. Companies didn't just clear the bar — they cleared it by an average of 29.2%, the widest earnings surprise margin FactSet has recorded since it began tracking the metric in 2008.

Second-quarter EPS growth landed at 32% year-over-year, building on a 30% gain in the first quarter — a pace of back-to-back quarterly growth that is historically rare outside of a post-recession rebound. Strip out Alphabet and Amazon, whose AI-driven cloud and advertising results padded the aggregate figures, and the blended growth rate falls from over 50% to roughly 32%, still a robust number even without the two mega-cap outliers.

The pattern showing up in the numbers is consistent with what's visible elsewhere in the market: Oracle's after-hours swing from a 5% loss to a 7% gain on blowout AI-related earnings and Dell's 7% stock jump after AI server revenue hit $16.4 billion both point to the same underlying dynamic — infrastructure and cloud spending tied to AI is now large enough to move the needle on the index's aggregate profit growth, not just the share prices of a handful of chipmakers.

That spending is showing up in hard capital numbers too. US data center construction spending has hit a record annual pace, a level that was unthinkable before the current AI buildout began, and one that helps explain why earnings estimates keep climbing even as economists debate whether the broader economy is slowing.

The risk, flagged by some strategists, is that growth this fast is difficult to sustain. Comparisons get tougher every quarter that passes, and a 32% growth rate baked into 2026 estimates raises the bar for what companies need to deliver in 2027 just to avoid disappointing a market that has priced in near-flawless execution. For now, though, the trend is unambiguously higher, and Wall Street's models are still catching up to it.

The upgrade cycle has also shown up in how companies talk about their own outlooks. A notable share of second-quarter reporters raised full-year guidance rather than merely clearing a bar analysts had already lowered — a distinction strategists watch closely, since guidance raises signal management confidence in forward demand rather than just a beat against conservative estimates. That matters because valuations have moved in step with the earnings estimates: the index's forward price-to-earnings ratio has climbed alongside the upgraded profit outlook, leaving less cushion if AI-linked capital spending decelerates or the current pace of enterprise adoption cools before 2027 comparisons get harder.

Crypto markets have their own stake in the AI-earnings story. Tokens tied to decentralized compute, GPU-collateralized lending and AI-agent infrastructure have tracked the broader AI trade closely over the past year, and a sustained upgrade cycle in mega-cap tech earnings tends to spill over into risk appetite for smaller, more speculative corners of the market. A deceleration in the earnings numbers — whenever it eventually comes — would likely be felt well beyond the S&P 500 itself.