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Goldman Sachs Lowers S&P 500 Target Amid Market Pullback

·

Updated Apr 07, 2026

·1 min read
Market News

Introduction

Goldman Sachs has revised its year-end target for the S&P 500 to 6,200 from 6,500, reflecting increased uncertainty in the markets. The adjustment follows a 9% decline in the index, largely driven by weakness in the 'Magnificent 7' stocks, which Goldman now dubs the 'Maleficent 7'.


Key Factors Behind the Revision

1. Market Decline & Hedge Fund Positioning

  • The S&P 500 fell 9% from its all-time high, led by a 14% drop in the 'Magnificent 7' stocks.
  • The market downturn was driven by:
    • Policy uncertainty in the U.S.
    • Economic growth concerns.
    • Hedge fund positioning unwinds.

2. Valuation Adjustments

  • The P/E ratio of the 'Maleficent 7' fell from 30x to 26x.
  • The equal-weighted S&P 500 index (SPW) declined 6% in the same period.
  • The P/E ratio of SPW dropped from 17x to 16x, now 8% below its November peak.

3. Earnings Growth Outlook

  • Goldman trimmed its 2025 EPS forecast to $262 from $268 (-2.2%).
  • 2026 EPS estimate was also revised down to $280 from $288 (-2.8%).
  • 2025 EPS growth forecast lowered to 7% from 9%.

Goldman's S&P 500 Forecast

Metric Previous Estimate Revised Estimate
S&P 500 Year-End Target 6,500 6,200
2025 EPS Growth 9% 7%
2025 EPS $268 $262
2026 EPS $288 $280

Despite the downward revision, Goldman expects an 11% price gain from current levels through year-end, maintaining a cautious but constructive outlook.


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Conclusion

Goldman's revised S&P 500 target reflects market volatility and economic uncertainties. However, their forecast for an 11% upside signals potential recovery if macroeconomic risks stabilize. Investors should watch policy decisions, earnings trends, and valuations closely in the coming months.

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About the Author

Parth Sanghvi
Parth Sanghvi

Risk analysis and financial modeling for data-driven market workflows

Parth Sanghvi is a Senior Risk Consultant with experience in financial modeling, valuation, and risk analysis. For FMP, he focuses on translating complex market data and risk models into clear, accessible analysis for developers and investors. His work centers on helping readers understand how institutional-grade financial data applies to real-world workflows and decision-making.

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