VIS(VIS)
AI Look-Through Summary
AI GeneratedThe VIS ETF demonstrates an overwhelming concentration within the Industrials sector, which accounts for nearly 80% of its total assets. This heavy tilt is driven by a top-heavy portfolio where the ten largest holdings are exclusively industrial companies, with the five most significant positions alone comprising over one-quarter of the fund's value. The presence of major aerospace and defense contractors like Boeing alongside diversified conglomerates such as Caterpillar and General Electric suggests that the fund's performance will be inextricably linked to macroeconomic cycles affecting manufacturing, transportation infrastructure, and capital goods production. While there is a minor exposure to Technology through Uber and slight allocations to Consumer Cyclical and Utilities sectors, these represent negligible diversification relative to the dominant industrial core.
Geographically, while specific regional breakdowns are not provided in the current data snapshot, the composition of top holdings implies a significant U.S.-centric bias given that all listed constituents—ranging from United Parcel Service to Honeywell—are headquartered and primarily operate within North America. This structural characteristic means the fund's returns will largely mirror domestic industrial productivity trends rather than offering broad global diversification. Quantitatively, the sheer size of individual positions indicates a strategy designed for stability through large-cap exposure rather than aggressive growth via small or mid-sized firms; however, this approach inherently increases sensitivity to sector-specific downturns. With an asset base exceeding $7 billion, the fund possesses substantial liquidity but remains highly susceptible to shifts in industrial policy and global trade dynamics that directly impact its concentrated basket of heavyweights.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-21 22:23:52.582179+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 92/100The investment theme implied by the name "VIS" (Visa Inc.) is strictly misaligned with the fund's actual composition, as VIS is a major financial services company rather than an industrial or technology proxy. The portfolio consists almost entirely of companies within the Industrials sector, which accounts for nearly eighty percent of total assets under management, while holding zero exposure to Visa itself. This discrepancy suggests that despite its ticker symbol and name, the fund does not track the performance of the named issuer but instead operates as a broad industrial equity vehicle. The inclusion of mega-cap industrials like Caterpillar and GE alongside technology names such as Uber creates a hybrid profile that diverges significantly from any expectation of pure financial services exposure or thematic purity related to its title.
Sector coherence is high within the Industrials space, where top holdings are heavily concentrated in aerospace, defense, and transportation equipment, indicating a deliberate focus on manufacturing and capital goods rather than diversified industrial services. The fund demonstrates low concentration risk relative to many sector-specific peers, with the top ten positions representing just thirty percent of the portfolio, allowing for broad diversification across one hundred forty-eight distinct holdings within the primary sector. However, the presence of technology stocks like Uber introduces a slight thematic variance that softens the pure industrial focus, though this remains a minor component compared to the dominant manufacturing and defense weights. Ultimately, the fund appears structurally sound as an industrial index tracker but fails entirely to reflect its namesake theme, offering investors exposure to heavy industry rather than financial services infrastructure.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-24 04:33:53.167522+00
🏢 Sector Analysis
AI GeneratedThe fund exhibits an extremely concentrated exposure to the Industrials sector, which accounts for nearly 80% of total assets. This overwhelming allocation suggests a specific investment thesis centered on industrial cyclicality and capital goods rather than broad market diversification or defensive positioning. With only 5.2% in Technology and negligible positions elsewhere, the portfolio lacks meaningful hedging against sectors that typically perform differently during economic downturns or periods of technological disruption. The heavy reliance on just fourteen holdings within a single sector indicates that the fund manager prioritizes deep thematic conviction over traditional asset class diversification strategies often employed by balanced funds.
Concentration risk is further amplified by the top-10 holding concentration, which stands at 30.8%, with five of those positions alone comprising nearly 20% of the portfolio. The dominance of specific companies like Caterpillar and General Electric implies that performance will be highly correlated with macroeconomic indicators such as manufacturing PMI data, infrastructure spending levels, and global trade dynamics. This structure creates a scenario where idiosyncratic risks associated with any single major holding or industry-specific regulatory changes could disproportionately impact the overall fund value compared to more broadly diversified vehicles.
From a factor tilt perspective, the portfolio leans heavily into large-cap growth within industrial sub-sectors while offering minimal exposure to small-caps or defensive utilities. The absence of significant consumer cyclical and basic materials positions removes potential benefits from broader economic expansion across multiple consumption channels. Consequently, the fund's behavior is likely to mirror that of a leveraged play on specific industrial megatrends rather than a proxy for the entire US equity market, making its volatility profile distinctively tied to the fortunes of heavy machinery and aerospace manufacturing leaders.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-24 07:34:02.710298+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share VIS's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of VIS's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| SPTMSPTM | $12B | — | 254 | 93.4% |
| ONEOONEO | $25M | — | 159 | 86.6% |
| VTIVanguard Total Stock Market Index Fund ETF Shares | $2.1T | 0.03% | 91 | 82.8% |
| VONEVONE | $10B | — | 90 | 81.5% |
| QUSQUS | $1B | — | 88 | 80.8% |
93% of VIS's portfolio by weight is also held by SPTM, which commands 2× more assets under management. When SPTM receives inflows, it mechanically buys these shared stocks — dragging VIS's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofVIS'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 90% 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 VIS collectively pay out 39% 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 76% 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
ProprietaryVIS is up 27.1% over the last 12 months. The underlying weighted earnings growth of its constituents is +19.4%. The remaining +7.7% of performance is driven by multiple expansion (P/E inflation) — prices rose faster than earnings grew.
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 VIS's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of VIS's analyzed weight, 52% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 48% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 87% 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.
VIS has a Passive Crowding Score of 42/100. On average, 12.5% of the market capitalization of VIS'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 38 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 | CAT | Caterpillar Inc. Industrials | 5.90% | 43.7x | 6/9 |
| 2 | GE | General Electric Co. Industrials | 4.33% | 40.2x | 5/9 |
| 3 | GEV | GE Vernova LLC Industrials | 4.16% | 28.3x | 6/9 |
| 4 | RTX | RTX Corp. Industrials | 3.34% | 33.6x | 8/9 |
| 5 | BA | Boeing Co. Industrials | 2.54% | 91.7x | 7/9 |
| 6 | ETN | Eaton Corp. plc Industrials | 2.38% | 39.2x | 7/9 |
| 7 | DE | Deere & Co. Industrials | 2.15% | 30.7x | 5/9 |
| 8 | UBER | Uber Technologies Inc. Technology | 2.09% | 17.5x | 6/9 |
| 9 | UNP | Union Pacific Corp. Industrials | 1.94% | 21.6x | 7/9 |
| 10 | HON | Honeywell International Inc. Industrials | 1.93% | 38.0x | 5/9 |
| 11 | VRT | Vertiv Holdings Co. Class A Industrials | 1.69% | 79.3x | 5/9 |
| 12 | PH | Parker-Hannifin Corp. Industrials | 1.63% | 31.2x | 7/9 |
| 13 | TT | Trane Technologies plc Industrials | 1.55% | 34.5x | 9/9 |
| 14 | PWR | Quanta Services Inc. Industrials | 1.54% | 98.0x | 5/9 |
| 15 | LMT | Lockheed Martin Corp. Industrials | 1.53% | 25.7x | 6/9 |
Historical Holdings Snapshots
Browse how VIS’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
2026-05-23
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
2026-05-22
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
2026-05-21
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
2026-05-20
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
2026-05-19
15 holdings · 38.7% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | CAT | 5.90% | 551,493 | $490.9M |
| 2 | GE | 4.33% | 1,243,050 | $360.4M |
| 3 | GEV | 4.16% | 319,742 | $346.4M |
| 4 | RTX | 3.34% | 1,580,034 | $278.2M |
| 5 | BA | 2.54% | 922,817 | $211.4M |
| 6 | ETN | 2.38% | 457,713 | $198.2M |
| 7 | DE | 2.15% | 302,778 | $178.6M |
| 8 | UBER | 2.09% | 2,326,222 | $173.6M |
| 9 | UNP | 1.94% | 599,020 | $161.4M |
| 10 | HON | 1.93% | 748,190 | $160.4M |
| 11 | VRT | 1.69% | 428,037 | $140.6M |
| 12 | PH | 1.63% | 148,710 | $135.2M |
| 13 | TT | 1.55% | 261,301 | $128.7M |
| 14 | PWR | 1.54% | 175,716 | $127.9M |
| 15 | LMT | 1.53% | 245,427 | $127.1M |
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 VIS 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 VIS’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.