MGK vs SCHG

Key Takeaways

• Both funds are passively managed large-cap growth ETFs, but they track different indexes: MGK follows the CRSP US Mega Cap Growth Index, while SCHG tracks the Dow Jones U.S. Large-Cap Growth Total Stock Market Index.
• MGK is far more concentrated, holding roughly 70 mega-cap names with about two-thirds of assets in its top 10 positions; SCHG holds close to 200 stocks with a smaller top-10 concentration.
• Both are technology-heavy, but MGK carries a higher information-technology weight (near 60%) versus SCHG (near 47%), which spreads more into healthcare, financials, and industrials.
• SCHG is marginally cheaper at a 0.04% expense ratio versus 0.07% for MGK, though both rank among the lowest-cost funds in the large-cap growth category.
• MGK offers purer, higher-beta exposure to mega-cap leadership, while SCHG provides broader diversification that reduces single-stock risk.

Introduction

For investors seeking concentrated exposure to America's largest, fastest-growing companies, the Vanguard Mega Cap Growth ETF (MGK) and the Schwab U.S. Large-Cap Growth ETF (SCHG) are two of the most prominent vehicles available. Although they compete directly within the same large-cap growth segment and share many of the same marquee holdings, they are structured quite differently beneath the surface. Understanding how their underlying indexes, concentration levels, and cost profiles diverge is essential for anyone weighing sector exposure and relative positioning. This ETF comparison examines the structural characteristics and performance dynamics that distinguish these two funds in the current market environment.

Vanguard Mega Cap Growth ETF (MGK) Overview

Launched in December 2007, the Vanguard Mega Cap Growth ETF seeks to track the CRSP US Mega Cap Growth Index, a float-adjusted, market-capitalization-weighted benchmark representing the growth segment of the largest U.S. companies. The fund is passive and uses a full-replication approach, holding roughly 70 stocks with assets under management (AUM) in the tens of billions of dollars.

The portfolio is highly concentrated. Top holdings include NVDA, MSFT, AAPL, GOOGL, TSLA, AVGO, META, and AMZN, with the top 10 positions accounting for roughly two-thirds of total net assets. Sector allocation is dominated by information technology (about 60%), followed by communication services and consumer discretionary. The fund's 0.07% expense ratio is among the lowest in its category, and its narrow roster makes it a high-conviction bet on mega-cap leadership.

Schwab U.S. Large-Cap Growth ETF (SCHG) Overview

Introduced in December 2009, the Schwab U.S. Large-Cap Growth ETF tracks the Dow Jones U.S. Large-Cap Growth Total Stock Market Index, which captures the large-cap growth portion of the broader U.S. total market. The fund is also passively managed and market-cap weighted, holding approximately 200 securities across the large-cap growth universe.

While its top holdings overlap substantially with MGK—led by NVDA, AAPL, MSFT, AMZN, GOOGL, AVGO, META, and LLY—the top 10 names represent only about half of assets. Sector exposure is more balanced, with information technology near 47%, communication services around 13%, consumer cyclical about 11%, and meaningful allocations to healthcare, financials, and industrials. At 0.04%, SCHG is one of the least expensive growth ETFs available, making it a cost-efficient core holding with broader diversification than MGK.

Industry and Thematic Backdrop

Both funds sit at the center of a market environment dominated by a narrow group of mega-cap technology and communication-services companies. Capital flows have increasingly favored artificial intelligence, cloud computing, and semiconductor infrastructure, concentrating returns in names like NVDA, MSFT, and AMZN. At the same time, interest-rate expectations and valuation sensitivity have amplified volatility across growth equities, since higher-for-longer rates pressure the discounted value of future earnings. Concentration risk is the central theme: funds that lean most heavily on a handful of dominant stocks are more exposed to any earnings-cycle stumble or rotation toward value and cyclical sectors.

Performance and Positioning Comparison

Over recent market cycles, both ETFs have delivered strong total returns, reflecting their shared exposure to mega-cap growth leadership. MGK's tighter roster and higher technology concentration have historically made it more sensitive to upswings in AI and semiconductor names, while also exposing it to sharper drawdowns when those leaders correct. SCHG's broader base—including larger healthcare and financials weights—has generally produced a somewhat smoother profile with lower single-name risk. In terms of relative positioning, MGK behaves as a more aggressive, higher-beta expression of the same theme, whereas SCHG offers a more diversified, lower-cost way to capture large-cap growth momentum with somewhat reduced concentration-driven volatility.

AI Screener

Tickeron's AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener is designed to surface trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to identify relative positioning and momentum shifts across the growth universe.

Tickeron AI Verdict

Based on observable factors such as cost efficiency, diversification profile, and trend consistency, Tickeron's AI would likely express a slight structural preference for SCHG. Its 0.04% expense ratio, broader holdings base, and lower single-name concentration offer a more resilient risk profile while still capturing large-cap growth momentum. MGK, by contrast, represents a higher-beta, more concentrated bet that may appeal to investors specifically seeking maximum exposure to mega-cap leaders. The AI's leaning is probabilistic and grounded in diversification and cost advantages rather than a directional call on any single stock.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

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