VFMO(VFMO)
AI Look-Through Summary
AI GeneratedVFMO presents a distinct equity profile characterized by significant exposure to industrial and technology sectors, which collectively account for nearly 29% of the portfolio's weight. The fund maintains an AUM of $1.3 billion, suggesting substantial liquidity while holding a diversified basket where no single position exceeds 1.5%. Notably, the top ten holdings include major players across disparate industries such as JNJ in healthcare and GOOGL in communication services, indicating that despite sector tilts, capital is spread broadly rather than concentrated within a narrow niche. The presence of companies like GEV and VRT alongside LRCX and AMD highlights an underlying theme of exposure to manufacturing infrastructure and semiconductor equipment, reflecting the industrial and technology weights provided.
Geographically, while specific regional breakdowns are not explicitly detailed in the provided data, the composition of top holdings implies a heavy weighting toward developed markets where these multinational corporations operate their primary revenue streams. The sector allocation shows Industrials leading at 16.9%, followed by Technology at 12.2% and Healthcare at 10.6%, creating a blend that seeks growth through established giants rather than speculative small-cap names. Financial Services and Consumer Cyclical sectors play minor roles, comprising less than 8% of the combined weight, which further reinforces the fund's focus on industrial and tech-driven value propositions. With individual top holdings hovering around 1% each, the portfolio exhibits low idiosyncratic risk relative to concentrated funds, as losses or gains in any single name have a muted impact on overall performance. This structure suggests the ETF is designed for investors seeking broad-based exposure to large-cap equities with specific sector preferences rather than aggressive concentration strategies.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-23 20:17:27.334597+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 85/100The name VFMO strongly implies a focus on the materials sector, specifically vanadium and its industrial applications. However, an examination of the top holdings reveals a significant divergence from this specific thematic concentration. While several positions like NEM (Newmont) align with basic materials or mining themes often associated with such names, other major constituents including JNJ in healthcare, GOOGL in communication services, and BK in financial services appear unrelated to vanadium exposure. The presence of these diverse sectors suggests the fund may be utilizing a broad market name to anchor its profile rather than adhering strictly to a pure-play materials strategy, potentially diluting the thematic purity for investors seeking specific commodity exposure.
Sector weightings further illustrate this lack of exclusive focus on the implied theme. Although Industrials and Technology comprise nearly 30% of the portfolio combined, with Healthcare also holding over 10%, these allocations are inconsistent with a dedicated vanadium or materials fund which would typically show overwhelming dominance in Basic Materials and Energy sectors. The diversification across ten distinct sectors indicates that the fund is likely functioning as a broad-market vehicle rather than a tightly concentrated thematic play on vanadium prices. Consequently, while the portfolio contains relevant holdings for investors interested in industrial metals, its structure resembles a diversified equity index more closely than a specialized sector ETF, offering limited differentiation from standard broad market benchmarks.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-22 20:11:57.480113+00
🏢 Sector Analysis
AI GeneratedThe sector allocation of VFMO reveals a distinct tilt toward capital-intensive and cyclical industries, with Industrials dominating at nearly 17% of the portfolio. This heavy weighting suggests an investment thesis centered on industrial production, infrastructure development, and manufacturing cycles rather than consumer staples or defensive sectors. The combined exposure to Technology and Healthcare, totaling approximately 23%, provides a secondary layer of growth potential while maintaining a focus on companies with significant operational footprints. Notably, the fund exhibits minimal representation in Consumer Defensive (1.6%) and Communication Services (2.5%), indicating an intentional avoidance of non-cyclical revenue streams that typically decouple from broader economic fluctuations.
Concentration risk appears managed through a diversified approach within its primary sectors rather than reliance on individual mega-cap stocks. The top ten holdings collectively represent only 9.7% of the portfolio, with no single position exceeding 1.1%, which mitigates idiosyncratic stock-specific volatility while still allowing for meaningful sector exposure. This structure implies that the fund's performance will be driven more by broad industrial and technological trends than by the fortunes of any one company. The inclusion of Basic Materials (3.7%) and Energy (3.8%), alongside Industrials, further reinforces a macroeconomic view that anticipates correlated movements in commodities and heavy asset classes during periods of economic expansion or supply chain reconfiguration.
Factor tilts inferred from this allocation suggest an exposure to value and momentum characteristics often found in cyclical leaders, as these sectors frequently outperform during inflationary environments or robust GDP growth phases. The presence of large-cap names like JNJ within the Healthcare segment alongside semiconductor manufacturers like AMD indicates a blend of stability and innovation seeking, though the overall portfolio remains heavily weighted toward companies with tangible assets and capital expenditure requirements. Investors examining this profile should consider how their own views on economic cyclicality align with such an aggressive focus on Industrials over defensive havens.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-23 16:23:45.432887+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share VFMO's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of VFMO's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| SPTMSPTM | $12B | — | 276 | 64.4% |
| ONEOONEO | $25M | — | 189 | 53.2% |
| VTIVanguard Total Stock Market Index Fund ETF Shares | $2.1T | 0.03% | 143 | 47.7% |
| VONEVONE | $10B | — | 139 | 46.8% |
| VOOVanguard S&P 500 ETF | $1.5T | 0.03% | 116 | 42.4% |
64% of VFMO's portfolio by weight is also held by SPTM, which commands 9× more assets under management. When SPTM receives inflows, it mechanically buys these shared stocks — dragging VFMO's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofVFMO'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 67% 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 62% 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 VFMO collectively pay out 34% 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 40% 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
ProprietaryVFMO is up 43.2% over the last 12 months. The underlying weighted earnings growth of its constituents is +39.8%. The remaining +3.4% 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 59% of fund weight with earnings data. Not investment advice.
Value Creation Map
ROIC vs WACCWhat percentage of VFMO's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?
Of VFMO's analyzed weight, 55% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 45% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.
ROIC-WACC spread for 49% 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.
VFMO has a Passive Crowding Score of 37/100. On average, 11.2% of the market capitalization of VFMO'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 27 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 | GEV | GE Vernova LLC Industrials | 1.13% | 28.3x | 6/9 |
| 2 | LRCX | Lam Research Corp. Technology | 1.08% | 60.3x | 7/9 |
| 3 | JNJ | Johnson & Johnson Healthcare | 1.02% | 26.1x | 4/9 |
| 4 | AMD | Advanced Micro Devices Inc. Technology | 0.98% | 172.6x | 7/9 |
| 5 | NEM | Newmont Goldcorp Corp. Basic Materials | 0.97% | 14.2x | 9/9 |
| 6 | KLAC | KLA Corp. Technology | 0.97% | 54.3x | 8/9 |
| 7 | VRT | Vertiv Holdings Co. Class A Industrials | 0.91% | 79.3x | 5/9 |
| 8 | GOOGL | Alphabet Inc. Class A Communication Services | 0.89% | 29.0x | 6/9 |
| 9 | APH | Amphenol Corp. Class A Technology | 0.87% | 42.7x | 6/9 |
| 10 | HWM | Howmet Aerospace Inc. Industrials | 0.86% | 59.9x | 8/9 |
| 11 | AMAT | Applied Materials Inc. Technology | 0.85% | 42.4x | 6/9 |
| 12 | BK | Bank of New York Mellon Corp. Financial Services | 0.84% | 17.0x | 5/9 |
| 13 | GM | General Motors Co. Consumer Cyclical | 0.84% | 30.4x | 5/9 |
| 14 | GLW | Corning Inc. Technology | 0.84% | 87.1x | 7/9 |
| 15 | CAT | Caterpillar Inc. Industrials | 0.81% | 43.7x | 6/9 |
Historical Holdings Snapshots
Browse how VFMO’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | NEM | 0.97% | 121,401 | $13.1M |
| 6 | KLAC | 0.97% | 8,871 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | BK | 0.84% | 95,295 | $11.3M |
| 13 | GLW | 0.84% | 83,514 | $11.4M |
| 14 | GM | 0.84% | 152,515 | $11.4M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
2026-05-23
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | KLAC | 0.97% | 8,871 | $13.1M |
| 6 | NEM | 0.97% | 121,401 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | GLW | 0.84% | 83,514 | $11.4M |
| 13 | GM | 0.84% | 152,515 | $11.4M |
| 14 | BK | 0.84% | 95,295 | $11.3M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
2026-05-22
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | KLAC | 0.97% | 8,871 | $13.1M |
| 6 | NEM | 0.97% | 121,401 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | GM | 0.84% | 152,515 | $11.4M |
| 13 | GLW | 0.84% | 83,514 | $11.4M |
| 14 | BK | 0.84% | 95,295 | $11.3M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
2026-05-21
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | NEM | 0.97% | 121,401 | $13.1M |
| 6 | KLAC | 0.97% | 8,871 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | BK | 0.84% | 95,295 | $11.3M |
| 13 | GM | 0.84% | 152,515 | $11.4M |
| 14 | GLW | 0.84% | 83,514 | $11.4M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
2026-05-20
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | NEM | 0.97% | 121,401 | $13.1M |
| 6 | KLAC | 0.97% | 8,871 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | BK | 0.84% | 95,295 | $11.3M |
| 13 | GM | 0.84% | 152,515 | $11.4M |
| 14 | GLW | 0.84% | 83,514 | $11.4M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
2026-05-19
15 holdings · 13.9% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | GEV | 1.13% | 17,574 | $15.3M |
| 2 | LRCX | 1.08% | 68,205 | $14.6M |
| 3 | JNJ | 1.02% | 56,193 | $13.7M |
| 4 | AMD | 0.98% | 65,014 | $13.2M |
| 5 | NEM | 0.97% | 121,401 | $13.1M |
| 6 | KLAC | 0.97% | 8,871 | $13.1M |
| 7 | VRT | 0.91% | 49,397 | $12.4M |
| 8 | GOOGL | 0.89% | 42,014 | $12.1M |
| 9 | APH | 0.87% | 93,377 | $11.8M |
| 10 | HWM | 0.86% | 50,617 | $11.7M |
| 11 | AMAT | 0.85% | 33,652 | $11.5M |
| 12 | GLW | 0.84% | 83,514 | $11.4M |
| 13 | GM | 0.84% | 152,515 | $11.4M |
| 14 | BK | 0.84% | 95,295 | $11.3M |
| 15 | CAT | 0.81% | 15,425 | $10.9M |
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 VFMO 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 VFMO’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.