Schwab Dividend ETF Tops S&P 500 on Energy, Value Tilt
The Schwab U.S. Dividend Equity ETF has doubled the S&P 500's returns in 2026, signaling a broad market rotation from artificial intelligence-driven growth into value and energy stocks.
The Schwab U.S. Dividend Equity ETF (SCHD) has posted a 21.62% year-to-date total return as of July 21, 2026, significantly outpacing the 10.36% gain of the Vanguard S&P 500 ETF (VOO). This performance marks a sharp reversal from 2024 and 2025, when the fund lagged behind a market propelled by mega-cap technology and artificial intelligence stocks.
The divergence underscores a notable shift in market leadership. Large-cap value stocks have mounted a strong comeback this year, and SCHD’s structural overweight to the energy sector has been the primary driver of its outsized gains. For market professionals, the fund's trajectory illustrates the risks of abandoning diversified factor strategies during periods of narrow market leadership. After facing widespread dismissal during the AI boom, the fund is now seeing renewed investor attention as capital rotates out of growth.
SCHD achieves this exposure by tracking the Dow Jones U.S. Dividend 100 Index, employing a methodology that prioritizes financial health over raw yield. The index begins by filtering for companies that have paid dividends for at least 10 consecutive years. It then ranks these firms using a composite score that weighs free cash flow to total debt, return on equity, current dividend yield, and five-year dividend growth.
The top 100 scorers make up the portfolio, which currently offers a 3.33% 30-day SEC yield. At a 0.06% expense ratio, the fund provides highly cost-efficient access to quality dividend payers.
However, market participants should note that the fund's top holdings are not static. The index undergoes quarterly rebalancing and a full annual reconstitution, meaning sector leadership will naturally rotate as corporate fundamentals shift. While value and energy are driving returns in 2026, SCHD’s rules-based approach means its factor tilts will adapt over time, rewarding long-term conviction over short-term momentum chasing.