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Elite Growth Analytics

Schwab U.S. Large-Cap Growth ETF (SCHG) Holdings: Complete 2026 Portfolio Blueprint

Analyze the underlying asset structure of Charles Schwab’s $58.33B growth powerhouse, evaluate its severe mega-cap tech concentration, and master its six-factor stock selection matrix.

Updated June 2026Expert ReviewedInvestSnips Data
~$58.33 BillionTotal Assets Under Management
197 StocksTotal Line-Item Holdings
45.50%Information Technology Weight
55.91%Top 10 Concentration Footprint
For informational purposes only. Not investment advice. Data from public ETF filings updated regularly.

Analyzing the Schwab U.S. Large-Cap Growth ETF (SCHG) holdings reveals an aggressively engineered equity portfolio that places an outsized 55.91% of its total $58.33 Billion asset base inside its top 10 positions, detailing a historic concentration in the tech sector’s elite. Launched by Charles Schwab on December 11, 2009, this premier growth vehicle captures the core engines of domestic innovation, managing 197 total stock holdings to deliver blistering capital appreciation for long-term wealth accumulators. Driven by an unprecedented multi-year expansion in artificial intelligence infrastructure, semiconductor and hyper-scale computing juggernauts like NVIDIA (11.23%), Apple (9.79%), and Microsoft (6.53%) occupy massive, highly dominant anchor slots within the index, cementing SCHG’s status as a highly capital-efficient default wager on global digital disruption.

Beneath the surface of these absolute metrics, an expert analytical assessment reveals that SCHG’s underlying asset allocation achieves a structural performance advantage through its specialized six-factor composite gatekeeper framework. Rather than tracking generic large-cap wrappers or relying on simple unadjusted trailing price-to-book metrics, the fund’s underlying Dow Jones index screens a unique 750 stock expansion pool using a combination of three forward-looking and three historical growth vectors, allowing it to capture high-velocity mid-cap growth compounders far earlier in their corporate life cycles than its large-cap purist competitors. This structural design isolates pure-play growth clusters, leaving sectors like Information Technology (45.50%) and Communication Services (14.50%) to shift passively with free-market valuations. To prevent tracking error, Schwab realigns this matrix on a strict quarterly cycle, optimizing the aggregate equity sheet to match real-world earnings trends with near-zero transaction drag.

What You Need to Know

01The Mathematical Rigor of the Six-Factor Composite Gatekeeper

A massive operational differentiator that traditional consumer-facing database scrapers consistently omit is the complex multi-factor scoring mechanism that actively dictates SCHG’s entry requirements. The fund does not pick its holdings based on simple valuation momentum; it enforces an unyielding quantitative filter that scores candidates across six distinct vectors. This matrix evaluates three forward-looking variables (long-term projected earnings growth, short-term projected earnings growth, and consensus analyst earnings growth estimates) alongside three trailing historical benchmarks (3-year revenue growth history, 3-year earnings growth history, and 3-year aggregate asset growth). By passing candidates through this rigorous multi-tiered assessment, the index systematically blocks slow-growth, debt-laden multi-nationals like Berkshire Hathaway, preserving a pure-play portfolio of compounding innovation.

02Capturing Mid-Cap Momentum via the 750 Stock Expansion Pool

While many retail investors assume that domestic large-cap growth products are confined strictly to the boundaries of the S&P 500 database, SCHG achieves structural alpha by expanding its starting lookup pool. The underlying tracking methodology explicitly casts an expansive net across the largest 750 U.S. companies by market capitalization, moving deep into upper mid-cap territory. This expanded structural starting point allows Charles Schwab’s portfolio managers to capture fast-growing businesses and technology compounders much earlier in their corporate acceleration cycles, well before they cross the institutional thresholds required for large-cap purist funds. This subtle mechanical asset twist injects a potent layer of growth velocity into the fund, maximizing long-term compounding.

03The Extreme Mega-Cap Technology Concentration Risk Factor

While holding 197 unique stock positions provides a comfortable visual illusion of broad portfolio diversification, SCHG’s market-capitalization-weighted architecture creates intense concentration risks. Because a stock’s market size dictates its individual fund footprint, the relentless price appreciation of the global semiconductor and AI landscape has compressed a massive 55.91% of your total capital straight into just the top 10 positions. This structural layout means that traditional sector insulation is completely absent, transforming the fund’s day-to-day performance returns into a direct, leveraged wager on the near-term cash generation of a tiny cluster of mega-cap executives. Investors must carefully chart these metrics to evaluate how much volatility their macro allocations are actually exposing them to.

04Portfolio Redundancy and Core Benchmark Overlap Deltas

Financial planners frequently caution aggressive wealth builders against triggering severe portfolio asset redundancy by holding SCHG concurrently with a standard S&P 500 or Nasdaq-100 tracker. Because cap-weighted core funds already maintain substantial multi-billion-dollar positions in companies like NVIDIA, Microsoft, and Apple, layering SCHG on top does not expand your portfolio’s baseline diversification. Instead, this compounding allocation matrix unsustainably skews your comprehensive capital base into a hyper-concentrated position in tech sector momentum, dramatically escalating drawdown risks during growth style contractions. Capital allocators must utilize precise overlapping tools to map out these look-through line-item redundancies, protecting their long-term terminal wealth curves from unexpected systemic sector corrections.

Schwab U.S. Large-Cap Growth ETF (SCHG) Holdings: Complete 2026 Portfolio Blueprint — Top Holdings

Click any column to sort. Holdings and weights updated June 2026.

#CompanyTickerWeight %Sector
1NVIDIA CorporationNVDA11.23%Information Technology
2Apple Inc.AAPL9.79%Information Technology
3Microsoft CorporationMSFT6.53%Information Technology
4Amazon.com, Inc.AMZN5.32%Consumer Discretionary
5Alphabet Inc. Class AGOOGL4.73%Communication Services
6Broadcom Inc.AVGO4.12%Information Technology
7Alphabet Inc. Class CGOOG3.80%Communication Services
8Tesla, Inc.TSLA3.77%Consumer Discretionary
9Eli Lilly and CompanyLLY3.37%Health Care
10Meta Platforms Inc. Class AMETA3.26%Communication Services
Source: ETF issuer public filings. Weights approximate and subject to change.

Sector Breakdown

SectorWeight %
Information Technology45.50%
Communication Services14.50%
Consumer Discretionary12.10%
Health Care9.00%
Financials7.00%
Industrials6.90%
Consumer Staples1.90%
Materials1.40%
Energy0.80%
Real Estate0.50%

Frequently Asked Questions

As of June 2026, the top 10 individual positions managed within the Schwab U.S. Large-Cap Growth ETF (SCHG) command an outsized 55.91% of the fund’s aggregate asset footprint. Leading this corporate sheet line-by-line is artificial intelligence infrastructure pioneer NVIDIA Corporation (NVDA) at a dominant 11.23% weight, followed by hardware ecosystem giant Apple Inc. (AAPL) at 9.79%, and enterprise cloud titan Microsoft Corporation (MSFT) at 6.53%. The remaining core slots are anchored by Amazon.com, Inc. (5.32%), Alphabet Inc. Class A (4.73%), Broadcom Inc. (4.12%), Alphabet Inc. Class C (3.80%), Tesla, Inc. (3.77%), Eli Lilly and Company (3.37%), and Meta Platforms Inc. (3.26%), locking the fund’s performance straight to America’s corporate elite.
While SCHG and Vanguard’s VUG share an incredibly high portfolio holdings overlap exceeding 90%, they do not manage the exact same stocks or identical component weights because they track entirely separate underlying index rules. VUG replicates the CRSP US Large Cap Growth Index, which uses a multi-factor model favoring long-term historic parameters, resulting in a different company count. SCHG relies on the Dow Jones U.S. Large-Cap Growth Total Stock Market Index, which tracks a broader 750 stock expansion pool and evaluates candidates using three forward-looking and three historical criteria. This structural difference alters their respective allocations slightly, giving SCHG a unique upper mid-cap growth tilt that can cause minor performance variances during high-velocity market rotations.
NVIDIA Corporation (NVDA) commands a massive 11.23% allocation inside SCHG because the fund utilizes a market-capitalization-weighted architecture that passes gains passively alongside an equity’s total market size. Over recent multi-year trailing periods, NVIDIA achieved historic corporate earnings expansion and valuation velocity due to global demands for artificial intelligence graphics processors and data center architecture. Because SCHG scales its holdings based on absolute equity size rather than capping single-stock weight boundaries, NVIDIA’s explosive stock price appreciation automatically pulled it into the apex slot of the fund. This structure turns SCHG into an excellent mechanism for harvesting mega-cap momentum, though it subjects savers to high single-stock volatility.
The SCHG ETF realigns its asset weights on a highly disciplined, automated corporate schedule that executes quarterly on the third Friday of March, June, September, and December, with its latest optimization finalized on June 19, 2026. During these specific quarterly rebalancing windows, the index managers update corporate share counts and relative market cap sizes to keep the asset mix aligned with public market valuations. Additionally, the fund undergoes a heavy, thorough annual structural reconstitution every September. This annual review allows the index to dynamically deploy its six-factor composite gatekeeper framework, officially filtering out decelerating corporations that no longer match pure-play growth standards while capturing emerging growth stars with minimal internal tracking error.
Yes, SCHG actively holds a selective, fast-growing slice of upper mid-cap growth companies because its index methodology screens the largest 750 domestic entities by market capitalization rather than cutting off borders at the top 500 names. This expanded starting pool allows the fund’s quantitative models to capture rapidly expanding corporations during their high-velocity growth phases, well before they mature into sluggish large-cap entities. However, due to the fund’s capital-weighted design, these mid-cap companies command very small individual weights compared to tech heavyweights, meaning they function as long-term secondary alpha engines while the top mega-caps dictate near-term price direction.
The Information Technology sector stands as the absolute largest concentration within SCHG, commanding a heavy 45.50% allocation of net assets. This massive technology presence is reinforced by an additional 14.50% allocation to Communication Services and 12.10% to tech-adjacent Consumer Discretionary components, pushing the fund’s comprehensive digital economy exposure past the 72% threshold. This structural alignment makes SCHG an incredibly powerful tool for capturing high-margin corporate software expansion, next-generation semiconductor demand, and global cloud transformations. However, it exposes your capital to severe cyclical tech contractions, making it far more volatile than diversified value or broad blend index funds.
The definitive, legally binding repository for downloading the daily updated full comprehensive list of all 197 SCHG holdings is the official Schwab Asset Management institutional portal. Charles Schwab updates this public database at the conclusion of every trading session, providing advisors, researchers, and retail savers with unedited Excel and CSV spreadsheet arrays tracking exact fractional share quantities, absolute share volumes, individual stock weights, and trailing portfolio fundamentals. Utilizing this primary issuer pipeline guarantees that your capital allocation models analyze authorized data sets that are completely free from the data caching delays or formatting errors that frequently compromise third-party database mirrors.
Both Alphabet Class A (GOOGL) and Alphabet Class C (GOOG) are listed as separate entries within SCHG’s holdings because the fund’s underlying index is mandated to precisely capture the holistic market capitalization of corporate America, which includes accounting for firms that issue multiple distinct tracking share classes. GOOGL represents Alphabet’s primary voting shares, while GOOG represents its non-voting equity certificates, and since both classes trade with immense liquidity across public exchanges, index rules require tracking each line item independently on separate ledger lines. This operational architecture ensures that Schwab precisely mirrors the true aggregate equity footprint of the search and cloud giant without distorting index replication fidelity.
Last updated June 2026 · InvestSnips Editorial · Data from public ETF filings