SCHG(SCHG)
AI Look-Through Summary
AI GeneratedThe Schwab U.S. Large-Cap Growth ETF exhibits a pronounced concentration within the technology sector, which accounts for nearly 41% of its total assets under management. This heavy weighting is driven by significant exposure to mega-cap equities such as NVIDIA and Apple, each representing over one-tenth of the fund's portfolio individually. When combined with Microsoft and other major players in this space, the top ten holdings collectively dominate the asset allocation, creating a structure where performance will be heavily correlated with the fortunes of these specific large technology firms rather than being broadly diversified across all growth sectors.
Beyond its primary tech focus, the fund maintains substantial positions within communication services and consumer cyclicals, led by companies like Amazon, Meta, Google, and Tesla. While healthcare represents a smaller portion at roughly 8%, it is anchored by Eli Lilly, indicating that medical innovation remains a secondary but notable pillar of the strategy. The geographic tilt implied here is strictly domestic to the United States, as all listed constituents are U.S.-based large-cap growth stocks with no explicit international exposure visible in the provided data.
Quantitatively, the fund's size at approximately $48.4 billion suggests deep liquidity and broad institutional participation, which can facilitate efficient trading but may also attract significant inflows or outflows during market volatility. The sheer magnitude of individual stock weights implies that any regulatory scrutiny or earnings miss from a single top holding could disproportionately impact the fund's net asset value compared to more evenly distributed portfolios. Consequently, investors seeking exposure to large-cap U.S. growth will find this vehicle heavily skewed toward dominant technology leaders and their adjacent service-oriented peers, resulting in a profile with elevated sector-specific risk alongside potential for outsized returns if that specific segment outperforms the broader market.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-22 16:09:01.646963+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 45/100The investment theme implied by the fund name, Schwab U.S. Dividend Equity ETF, suggests a focus on companies with strong dividend histories and stability, yet the actual portfolio composition reveals a significant deviation from this premise. The top holdings are dominated by mega-cap technology giants such as NVIDIA, Apple, and Microsoft, which collectively account for nearly 30% of assets under management. While some of these large-cap firms do pay dividends, their primary market identity is tied to high-growth innovation rather than traditional income generation or defensive characteristics typically associated with dividend strategies. The presence of significant positions in volatile sectors like consumer cyclicals and communication services further dilutes the thematic consistency expected from a fund explicitly targeting dividend equity exposure.
Sector concentration presents another layer of misalignment, as technology comprises over 40% of the portfolio while financials and industrials remain relatively small despite their historical roles as staple dividend payers. The top ten holdings alone represent more than half of total assets, indicating that performance is heavily reliant on a narrow group of large-cap stocks rather than broad sector diversification across income-generating industries. Although the fund holds positions in healthcare and utilities, these sectors are underweighted relative to what would be expected for an asset class focused on steady cash flow and lower volatility. The resulting profile appears more akin to a general U.S. equity index with a tilt toward growth leaders rather than a specialized vehicle dedicated to dividend sustainability or sector coherence within the income framework implied by its name.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-23 10:00:23.804173+00
⚠️ Systemic Risk Synthesis
AI GeneratedThe newly disclosed risk factors across the top holdings of SCHG highlight a convergence of three primary systemic threats facing the technology and growth sectors. A significant number of these high-weight companies, particularly NVDA but also others in the semiconductor and software space, are flagging potential material adverse impacts from evolving climate change regulations. Simultaneously, there is a pervasive concern regarding cybersecurity liabilities; specifically, adherence to data privacy requirements may drive up operational costs and constrain business operations for major players like Apple and Meta. Furthermore, the rapid expansion of artificial intelligence has introduced regulatory uncertainty, where compliance with responsible AI usage standards could materially affect financial conditions and competitive positioning within the industry.
The concentration of these specific risk categories among the fund's largest positions suggests a high degree of correlated downside potential. With NVDA alone accounting for over 10% of assets under management and explicitly detailing risks in all three identified areas, any adverse regulatory shift or market reaction to increased compliance costs could disproportionately impact the portfolio's aggregate performance. The fact that multiple top-tier holdings are independently identifying similar macro-level pressures indicates that these are not isolated incidents but rather sector-wide challenges that could move in tandem if policy environments tighten or cyber threats escalate globally. This clustering of risk disclosures implies that the fund lacks sufficient diversification against these specific regulatory and operational headwinds relative to its overall market exposure.
While systemic risks dominate the current landscape, company-specific factors remain relevant for certain high-weight constituents. For instance, while NVDA's AI regulation risk is noted as a potential threat to competitive position, other top holdings face distinct challenges that could amplify volatility if they materialize unexpectedly. The interplay between these macro threats and individual corporate vulnerabilities creates a complex risk profile where broad regulatory changes could trigger simultaneous stress across the fund's most significant positions.
Synthesized from constituent 10-K risk factor disclosures. Not investment advice. Updated: 2026-05-23 22:07:08.789001+00
🏢 Sector Analysis
AI GeneratedThe SCHG ETF exhibits a pronounced tilt toward the technology sector, which accounts for over 40% of its total assets. This heavy weighting is further reinforced by the top five holdings, where NVDA, AAPL, and MSFT alone comprise more than one-quarter of the fund's portfolio, all within the same industry group. Such an allocation suggests a strategic focus on capturing growth momentum driven primarily by large-cap software and hardware innovators rather than seeking broad market diversification across economic cycles. The significant presence in Communication Services at 16.2% further amplifies exposure to digital media and internet companies, creating a dual concentration in sectors that have historically demonstrated high volatility but also substantial appreciation potential during periods of robust capital expenditure and consumer spending on digital goods.
This aggressive sector bias introduces notable concentration risk, evidenced by the fact that the top ten holdings represent more than 57% of the fund's total value. With nearly half the portfolio anchored in just three technology giants, the ETF's performance will be disproportionately influenced by the operational successes or regulatory headwinds facing these specific names. The minimal allocations to defensive sectors like Consumer Defensive and Utilities indicate a deliberate avoidance of stability plays that typically buffer portfolios during economic downturns. Instead, the fund appears engineered for investors seeking maximum exposure to growth factors such as revenue expansion and earnings acceleration, while accepting heightened sensitivity to interest rate fluctuations and market sentiment shifts that disproportionately affect high-valuation tech stocks compared to value-oriented industries like Financial Services or Industrials.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-24 04:01:15.769759+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share SCHG's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of SCHG's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| SCHXSCHX | $61B | — | 195 | 99.9% |
| SCHBSchwab U.S. Broad Market ETF | $37B | — | 195 | 99.9% |
| ITOTiShares Core S&P Total U.S. Stock Market ETF | $80B | — | 194 | 99.9% |
| URTHiShares MSCI World ETF | $7B | — | 150 | 97.8% |
| ACWIiShares MSCI ACWI ETF | $28B | — | 150 | 97.8% |
100% of SCHG's portfolio by weight is also held by SCHX. When SCHX receives inflows, it mechanically buys these shared stocks — dragging SCHG's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofSCHG's weight.
Overlap computed from constituent-level holdings data across 5 ETFs. Price co-movement with driver ETFs is structural, not coincidental. Not investment advice.
ETF Look-Through Dashboard
Replaces $249/yr MorningstarPeer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.
Weighted metrics calculated based on 94% of fund assets with available data.
Herfindahl-Hirschman Concentration Index
Morningstar-Style Box
Sector & Cap Explorer
ETF Fundamental Radar
Operational health is mixed, with the bulk of weight in the mid-range (4–6) Piotroski scores.
Piotroski F-Score (Operational Health)
Score 0-9: Measures Profitability, Leverage, and Efficiency
Based on 95% of fund weight with Piotroski data.
Computed by rolling up individual stock Piotroski F-Scores, Altman Z-Scores, and Beneish M-Scores weighted by each constituent's allocation. Data that Vanguard and BlackRock don't surface.
Dividend Safety True-Up
DeterministicThe dividend-paying companies inside SCHG collectively pay out 25% of their Free Cash Flow to maintain the current yield. This leaves a substantial cash buffer, making dividend cuts unlikely even in a downturn. Based on 71% of fund weight in dividend-paying stocks.
FCF Payout Ratio = Dividends Paid / Free Cash Flow, weighted by constituent allocation. Not investment advice.
Earnings vs. Price Decomposition
ProprietarySCHG is up 26.2% over the last 12 months. The underlying weighted earnings growth of its constituents is +40.3%. Despite earnings growth, valuations have contracted by 14.1% — the market is paying less per dollar of earnings than a year ago.
Earnings growth = weighted average YoY EPS growth of all constituents (capped at ±500% to limit outlier distortion). Based on 94% of fund weight with earnings data. Not investment advice.
Value Creation Map
ROIC vs WACCWhat percentage of SCHG's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of SCHG's analyzed weight, 80% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 20% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 92% of fund weight with available data. Not investment advice.
Concentration Risk Monitor
ELEVATEDSCHG's top holding NVDA at 10.8% is above the 8% elevated-concentration threshold. The effective number of stocks is 24 vs. the actual count of 50.
Effective # of Stocks = 1 / HHI (Herfindahl-Hirschman Index). Variance share approximated as w² / Σw². Not investment advice.
Passive Crowding Score
MODERATEHow much of each constituent's market cap is structurally locked in passive ETFs — a proxy for liquidity fragility during sell-offs.
SCHG has a Passive Crowding Score of 36/100. On average, 10.9% of the market capitalization of SCHG's underlying holdings is structurally locked in passive ETF vehicles. This indicates moderate passive ownership density. Index rebalances and ETF creation/redemption activity can amplify short-term volatility in the underlying holdings.
Passive $ = Σ(ETF AUM × holding weight) across all 52 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.
Under the Hood — Top 15 Constituents
| # | Ticker | Company | Weight | P/E | F-Score |
|---|---|---|---|---|---|
| 1 | NVDA | NVIDIA Corp Technology | 10.83% | 32.4x | 4/9 |
| 2 | AAPL | Apple Inc Technology | 9.82% | 37.7x | 8/9 |
| 3 | MSFT | Microsoft Corp Technology | 7.34% | 26.8x | 5/9 |
| 4 | AMZN | Amazon.com Inc Consumer Cyclical | 5.14% | 31.7x | 6/9 |
| 5 | META | Meta Platforms Inc Communication Services | 4.58% | 23.0x | 5/9 |
| 6 | GOOGL | Alphabet Inc Communication Services | 4.56% | 29.0x | 6/9 |
| 7 | TSLA | Tesla Inc Consumer Cyclical | 4.22% | 399.8x | 5/9 |
| 8 | AVGO | Broadcom Inc Technology | 3.93% | 86.9x | 8/9 |
| 9 | GOOG | Alphabet Inc Communication Services | 3.64% | 28.7x | 6/9 |
| 10 | LLY | Eli Lilly & Co Healthcare | 3.17% | 39.2x | 7/9 |
| 11 | V | Visa Inc Financial Services | 2.05% | 28.5x | 6/9 |
| 12 | COST | Costco Wholesale Corp Consumer Defensive | 1.70% | 49.8x | 6/9 |
| 13 | MA | Mastercard Inc Financial Services | 1.61% | 28.6x | 8/9 |
| 14 | NFLX | Netflix Inc Communication Services | 1.55% | 27.7x | 6/9 |
| 15 | GE | General Electric Co Industrials | 1.37% | 40.2x | 5/9 |
Historical Holdings Snapshots
Browse how SCHG’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
2026-05-23
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
2026-05-22
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
2026-05-21
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
2026-05-20
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
2026-05-19
15 holdings · 65.5% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | NVDA | 10.83% | 30,882,359 | $5.5B |
| 2 | AAPL | 9.82% | 18,777,563 | $5.0B |
| 3 | MSFT | 7.34% | 9,443,440 | $3.7B |
| 4 | AMZN | 5.14% | 12,355,732 | $2.6B |
| 5 | META | 4.58% | 3,572,643 | $2.3B |
| 6 | GOOGL | 4.56% | 7,393,231 | $2.3B |
| 7 | TSLA | 4.22% | 5,294,160 | $2.1B |
| 8 | AVGO | 3.93% | 6,214,054 | $2.0B |
| 9 | GOOG | 3.64% | 5,908,039 | $1.8B |
| 10 | LLY | 3.17% | 1,522,600 | $1.6B |
| 11 | V | 2.05% | 3,235,792 | $1.0B |
| 12 | COST | 1.70% | 849,965 | $859.1M |
| 13 | MA | 1.61% | 1,572,134 | $813.1M |
| 14 | NFLX | 1.55% | 8,128,072 | $782.2M |
| 15 | GE | 1.37% | 2,022,469 | $692.2M |
Source: SEC filings and fund provider disclosures. Shows last 6 snapshot dates, top 15 holdings per date by weight.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Computed from 1,200+ trading days with 5% risk-free rate.
Price Chart with Moving Averages
What Drove SCHG Today?
Daily return attribution — which holdings contributed most (and least) to the fund's move.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the ETF's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Yield & Income
Sector Drift Over Time
How SCHG’s sector allocation has shifted across snapshots. Use the slider to travel through time.
Active Conviction Tracker
Shares bought and sold between the latest two data snapshots — reveals what the fund manager is actually doing.
AUM & Capital Flow Tracker
Estimated assets under management derived from SEC filings and daily price movements — tracks how the fund's value evolves over time.
Estimated AUM derived from the latest SEC N-PORT filing TNA ($50.52B) scaled by daily price changes. Filing snapshots update when new regulatory filings are published (quarterly for most funds, daily for ARK).
Explore More
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
SecuritiesDB is for informational purposes only. Not investment advice.