Stock Markets May 27, 2026 06:32 AM

Goldman Lifts S&P 500 Year-End Target to 8,000 Citing Strong Earnings Momentum

Bank upgrades EPS outlook and highlights AI infrastructure as a major earnings contributor while cautioning on near-term volatility

By Avery Klein LCO

Goldman Sachs raised its S&P 500 year-end target to 8,000 from 7,600 after a notably strong first-quarter earnings season and higher profit forecasts. The firm increased S&P 500 earnings-per-share projections to $340 for 2026 and $385 for 2027, and estimates that AI infrastructure beneficiaries will contribute roughly half of this year's EPS growth. Goldman warned that multiple expansion is unlikely to be a significant tailwind and flagged risks including an oil shock and the rising performance hurdle for AI-related stocks.

Goldman Lifts S&P 500 Year-End Target to 8,000 Citing Strong Earnings Momentum
LCO

Key Points

  • Goldman Sachs raised its S&P 500 year-end target to 8,000 from 7,600 following a strong Q1 earnings season.
  • The firm increased S&P 500 EPS forecasts to $340 for 2026 (24% growth) and $385 for 2027 (13% growth).
  • Goldman expects AI infrastructure beneficiaries to contribute roughly half of this year’s S&P 500 EPS growth; hyperscalers and power infrastructure plays are singled out as attractive within the theme.

Overview

Goldman Sachs raised its year-end target for the S&P 500 to 8,000 from 7,600 in a note released on Wednesday, pointing to an exceptionally strong first-quarter earnings season and upward revisions to profit forecasts. The bank said that the improved earnings trajectory should underpin further gains in the index even as it cautioned that the road ahead may be uneven.

Earnings and forecasts

In its update, Goldman increased its S&P 500 earnings-per-share forecasts to $340 for 2026 - a figure the firm says represents 24% year-on-year growth - and to $385 for 2027, which it characterizes as 13% growth. Goldman analyst Ben Snider noted that continued earnings expansion is expected to support about a 6% rise in the index from current levels.

Role of AI infrastructure

The bank highlighted that firms benefiting from AI infrastructure spending will account for roughly half of the S&P 500's EPS growth this year. Within that theme, Goldman pointed to hyperscalers and power infrastructure-related companies as areas where earnings revisions have been strongest and where opportunities have emerged during the buildout.

Valuation and multiples

Despite the constructive earnings outlook, Goldman said further valuation expansion is unlikely to be a meaningful driver of returns. The firm's note observed that the S&P 500's forward price-to-earnings multiple has already fallen about 4% year-to-date even as the index has risen roughly 10%. Goldman said its projections assume a multiple that remains close to the current 21x level.

Tactical view and market positioning

Goldman advised a cautious tactical stance. The bank argued that the recent momentum-driven rally combined with midterm election seasonality supports an expectation of more moderate returns over the coming months. Within the earnings-driven rally year-to-date, stocks with the strongest earnings revisions have generally outperformed, and Goldman identified hyperscalers and power infrastructure plays as particularly attractive within the AI buildout theme.

Risks flagged by Goldman

Snider highlighted several risks to the upbeat earnings-based outlook. He warned that an oil shock could create conditions of disappointing growth and tighter financial conditions - conditions that have marked ends of prior bull markets. He also cautioned that the earnings-driven outperformance of AI infrastructure names raises the bar for their future returns, increasing their performance hurdle going forward.


Note: The firm's projections and tactical recommendations reflect its current views as described in the Wednesday note, and the bank emphasizes potential near-term volatility despite a favorable earnings backdrop.

Risks

  • An oil shock could trigger disappointing growth and tighter financial conditions, posing downside risk to markets - this would impact broad equity performance and sectors sensitive to growth and rates.
  • The outsized earnings-driven gains among AI infrastructure stocks raise their future performance hurdle, increasing volatility and downside risk for that subset of the market.

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