FMPFMP
Datasets
Market News/Goldman Sachs: Tariffs Pose Key Risk to 2025 S&P 500 Earnings Growth

Goldman Sachs: Tariffs Pose Key Risk to 2025 S&P 500 Earnings Growth

·

Updated Apr 08, 2026

·1 min read
Market News

Goldman Sachs' Chief US Equity Strategist David J. Kostin warns that rising tariffs could weigh on 2025 earnings forecasts for S&P 500 companies. While Q4 2024 aggregate EPS grew by 12% YoY, surpassing expectations of 8% growth, the outlook for next year is clouded by potential tariff hikes and financial tightening.


How Will Tariffs Impact S&P 500 Earnings?

🔴 Projected Tariff Increases

  • 10 percentage point (pp) hike on Chinese imports (on top of a prior 10 pp increase).
  • 10 pp increase on global critical imports such as semiconductors and EV batteries.
  • 25 pp rise on EU auto imports.

🔴 Estimated Market Impact

  • These tariffs would raise the effective tariff rate by 4.7 pp.
  • Every 5 pp increase in tariffs could cut S&P 500 EPS by 1-2%.
  • Industries with global supply chains—Tech, Autos, and Retail—are at highest risk.

🔴 Policy Uncertainty & Consumer Response

  • If companies absorb higher costs, profit margins could take a hit.
  • If firms pass costs to consumers, demand may slow, especially with inflation already a concern.
  • A higher equity risk premium (ERP) due to policy uncertainty could lower fair value estimates.

Goldman Sachs' S&P 500 Outlook for 2025

✅ Despite tariff risks, GS maintains a bullish long-term stance.
✅ Year-end 2025 price target: 6,500 (+7% from current levels).
✅ Market to benefit from earnings resilience and potential Fed easing.

📌 Track S&P 500 Trends with:

Tags:

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.

Related

Financial data for every need

Real-time quotes and 30+ years of historical data, including prices, fundamentals, and insider transactions — all accessible via API.