QUAL(QUAL)
AI Look-Through Summary
AI GeneratedThe QUAL ETF presents a profile characterized by significant concentration within the technology sector, which accounts for nearly 24% of its total assets under management. This exposure is driven heavily by a tight cluster of mega-cap equities, with Nvidia, Apple, and Microsoft collectively representing over 18% of the fund's portfolio alone. Such a high degree of overlap among top holdings suggests that the ETF's performance will be disproportionately influenced by the valuation trajectories and earnings reports of these specific large-capitalization names rather than broad market diversification within the tech space itself.
Geographically, while the provided data does not explicitly detail regional breakdowns, the composition of the underlying securities implies a heavy tilt toward U.S.-listed companies operating in global markets. The fund's allocation to communication services and consumer cyclicals through major players like Meta and TJX further reinforces its focus on established industry leaders rather than emerging small-cap firms or international developed markets. With an asset base exceeding $46 billion, the vehicle maintains substantial liquidity, yet its reliance on a narrow set of high-flying stocks creates inherent volatility risks if these specific names experience correlated downturns.
Quantitatively, the fund's structure reflects a strategy that favors quality and scale over breadth or value-oriented diversification. The weighting towards financial services and healthcare at roughly 3% each indicates a deliberate avoidance of those sectors in favor of industries perceived as having stronger growth catalysts or defensive characteristics within their respective niches. Investors observing this data would note that the portfolio's beta is likely elevated due to its heavy exposure to high-growth technology stocks, meaning it may amplify both market rallies and corrections compared to more balanced index funds. The sheer size of individual positions in Nvidia, Apple, and Microsoft means that any material shift in their stock prices will immediately register as a significant move in the ETF's net asset value.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-22 00:39:48.17324+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 45/100The thematic alignment between the QUAL ETF name, which implies a focus on high-quality or low-volatility equities, and its actual composition reveals significant divergence. While the fund targets companies with strong fundamentals, the top holdings are dominated by mega-cap technology giants like NVIDIA, Apple, Microsoft, Meta, Lam Research, and Klarna that drive broad market returns rather than exhibiting specific defensive characteristics often associated with quality factors in downturns. The inclusion of major consumer cyclical and financial services names alongside these tech leaders suggests a heavy reliance on large-cap stability to anchor the portfolio, potentially diluting the intended thematic purity if investors expect exposure to smaller or mid-cap high-quality firms that are less correlated with broad market swings.
Sector coherence presents mixed signals regarding the fund's differentiation from a standard broad-market index. Although technology and communication services comprise nearly 30% of the portfolio, these weights do not necessarily reflect a pure quality tilt but rather an overweight in dominant industry leaders known for robust earnings and high valuations. The concentration risk remains moderate with the top ten holdings accounting for just under forty percent of assets, yet the sector breakdown shows limited diversification beyond tech-heavy names into consumer cyclicals and healthcare. Consequently, while the fund holds companies often cited as having superior quality metrics, its performance profile may closely mirror that of a large-cap growth index rather than offering distinct exposure to a specific high-quality factor strategy independent of general market beta.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-24 06:09:19.048722+00
⚠️ Systemic Risk Synthesis
AI GeneratedThe newly disclosed risk factors from the top holdings of QUAL highlight a convergence of systemic threats centered on regulatory expansion and operational cost inflation. A prominent macro-level concern is the increasing scrutiny regarding environmental compliance, specifically climate change regulations, which NVDA identifies as a potential source of material adverse impact. This issue appears to be part of a broader trend where technology giants face heightened obligations that could strain financial conditions across the sector. Simultaneously, there is a significant cluster of risks related to cybersecurity and data privacy; NVDA explicitly notes that adherence to evolving data privacy requirements may drive up operational costs and disrupt business operations. Furthermore, the emergence of AI regulation as a distinct risk category for major players like NVDA suggests that governments are beginning to impose constraints on artificial intelligence deployment that could alter competitive dynamics and increase compliance burdens industry-wide.
The concentration of these risks within the fund's largest positions signals a high degree of correlated downside potential. With NVDA, holding 6.5% of the portfolio, flagging all three major categories—environmental regulation, cybersecurity costs, and AI governance—the ETF faces substantial exposure to regulatory headwinds from its single most significant asset. When such critical operational risks are identified by the largest weightings in a concentrated technology fund, it implies that adverse policy shifts or enforcement actions could simultaneously impact multiple revenue streams rather than isolating losses to niche segments. The fact that these specific risk categories appear across different dimensions of business operations for top-tier holdings suggests that macro-level regulatory tightening is not an isolated event but a structural shift affecting the core value drivers of this portfolio segment.
While environmental and cyber risks are shared, NVDA's unique disclosure regarding AI regulation introduces a company-specific variable with disproportionate weight due to its 6.5% allocation. As one of the primary beneficiaries and developers of generative AI within the fund, any regulatory framework restricting responsible use could directly impact NVDA's competitive position more severely than for peers whose business models rely less heavily on frontier AI applications. This specific vulnerability means that while other top holdings like AAPL or MSFT face general cybersecurity costs, they may not be subject to the same intensity of AI-specific constraints currently highlighted by NVDA. Consequently, the fund's performance could become increasingly sensitive to regulatory developments specifically targeting advanced artificial intelligence technologies through its largest single holding.
Synthesized from constituent 10-K risk factor disclosures. Not investment advice. Updated: 2026-05-24 11:05:05.286014+00
🏢 Sector Analysis
AI GeneratedThe QUAL ETF exhibits a distinct sector profile heavily weighted toward technology, which accounts for nearly 24% of the portfolio through just five holdings. This allocation is further reinforced by the top ten concentration metric, where these leading large-cap names drive approximately 39% of total exposure. The presence of NVIDIA, Apple, Microsoft, Meta, and Lam Research in the upper echelons suggests a thesis centered on high-growth mega-caps with dominant market positions rather than broad sector diversification. While communication services adds modest weight at 6%, the remaining sectors including consumer cyclicals, financials, and healthcare contribute minimally to the overall structure, indicating that the fund's performance will be disproportionately influenced by the valuation trajectories of its top-tier technology constituents.
This concentration pattern reveals a significant tilt toward large-cap quality factors, as evidenced by the reliance on established industry leaders rather than smaller mid-caps or emerging companies across diverse industries. The heavy clustering within the technology sector implies that any macroeconomic headwinds specific to this industry could disproportionately impact the fund's volatility and returns compared to more broadly diversified peers. Furthermore, the limited representation in defensive sectors like healthcare and financial services suggests the strategy prioritizes growth potential over income generation or capital preservation during downturns. The data indicates a deliberate focus on companies with strong balance sheets and pricing power, yet this approach inherently trades away some stability for exposure to the cyclical nature of high-flying tech equities.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-20 15:04:32.231937+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share QUAL's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of QUAL's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| ESGVESGV | $11B | — | 10 | 39.0% |
| ITOTiShares Core S&P Total U.S. Stock Market ETF | $80B | — | 10 | 39.0% |
| DGRWDGRW | $15B | — | 10 | 39.0% |
| ACWIiShares MSCI ACWI ETF | $28B | — | 10 | 39.0% |
| IVViShares Core S&P 500 ETF | $762B | 0.03% | 10 | 39.0% |
39% of QUAL's portfolio by weight is also held by ESGV. When ESGV receives inflows, it mechanically buys these shared stocks — dragging QUAL's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofQUAL'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.
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 39% 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 QUAL collectively pay out 24% 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 39% 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
ProprietaryQUAL is up 21.8% over the last 12 months. The underlying weighted earnings growth of its constituents is +32.7%. Despite earnings growth, valuations have contracted by 10.9% — 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 39% of fund weight with earnings data. Not investment advice.
Value Creation Map
ROIC vs WACCWhat percentage of QUAL's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of QUAL's analyzed weight, 100% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 0% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 39% of fund weight with available data. 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.
QUAL has a Passive Crowding Score of 37/100. On average, 11.0% of the market capitalization of QUAL'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 10 Constituents
| # | Ticker | Company | Weight | P/E | F-Score |
|---|---|---|---|---|---|
| 1 | NVDA | NVIDIA Corp Technology | 6.50% | 32.4x | 4/9 |
| 2 | AAPL | Apple Inc Technology | 6.27% | 37.7x | 8/9 |
| 3 | MSFT | Microsoft Corp Technology | 5.04% | 26.8x | 5/9 |
| 4 | META | Meta Platforms Inc Class A Communication Services | 3.49% | 23.0x | 5/9 |
| 5 | LRCX | Lam Research Corp Technology | 3.22% | 60.3x | 7/9 |
| 6 | TJX | TJX Companies Inc Consumer Cyclical | 3.19% | 30.1x | 7/9 |
| 7 | V | Visa Inc Class A Financial Services | 3.08% | 28.5x | 6/9 |
| 8 | LLY | Eli Lilly and Co Healthcare | 2.92% | 39.2x | 7/9 |
| 9 | KLAC | KLA Corp Technology | 2.78% | 54.3x | 8/9 |
| 10 | GOOGL | Alphabet Inc Class A Communication Services | 2.53% | 29.0x | 6/9 |
Historical Holdings Snapshots
Browse how QUAL’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
10 holdings · 39.0% tracked weight2026-05-23
10 holdings · 39.0% tracked weight2026-05-22
10 holdings · 39.0% tracked weight2026-05-21
10 holdings · 39.0% tracked weight2026-05-20
10 holdings · 39.0% tracked weightSource: 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 QUAL 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 QUAL’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.
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.