Investors seeking U.S. large-cap equity exposure with a quality tilt often evaluate free cash flow (FCF) strategies. The Pacer US Cash Cows 100 ETF (COWZ) and VictoryShares Free Cash Flow ETF (VFLO) both screen for high FCF yielders yet implement distinct rules-based methodologies. They do not compete directly as identical benchmarks but serve as alternative approaches within the same thematic space, allowing comparison of diversification, cost efficiency, and growth integration for similar investor objectives in the current market environment.
The Pacer US Cash Cows 100 ETF (COWZ) tracks the Pacer US Cash Cows 100 Index, a rules-based benchmark that screens the Russell 1000 Index for the top 100 companies by trailing twelve-month free cash flow yield. It holds approximately 100 securities, primarily large-cap U.S. equities, with quarterly rebalancing and market-capitalization weighting subject to a 2% cap per security. Top holdings typically include names such as Booking Holdings Inc. (BKNG), Bristol-Myers Squibb Co. (BMY), and HCA Healthcare Inc. (HCA). Sector allocations span value-oriented areas including Health Care, Information Technology, Energy, and Consumer Discretionary. The ETF maintains a 0.49% expense ratio, operates as a passive open-ended fund, and provides full physical replication with quarterly distributions.
The VictoryShares Free Cash Flow ETF (VFLO) tracks the Victory U.S. Large Cap Free Cash Flow Index, which selects approximately 50 companies from a large- and mid-cap universe using expected free cash flow yield combined with a growth filter. It employs rules-based screening that incorporates both trailing and forward-looking FCF metrics, with quarterly rebalancing and reconstitution. Top holdings often feature Adobe Inc. (ADBE), Expedia Group Inc. (EXPE), and Devon Energy Corp. (DVN). Sector weights emphasize Information Technology, Energy, and Health Care. The ETF carries a 0.39% net expense ratio, functions as a passive open-ended fund with physical replication, and distributes dividends monthly.
Both ETFs operate within the U.S. large-cap equity space, focusing on companies demonstrating robust free cash flow generation amid evolving macroeconomic conditions. Key drivers include corporate earnings cycles, capital expenditure trends, and interest rate expectations that influence valuation multiples for cash-flow-strong names. Sector rotation toward value and quality factors, alongside commodity price movements in Energy and Materials, shapes the environment. Regulatory developments around corporate taxation and capital allocation further affect FCF metrics, while broader market cycles reward or penalize high-yield cash flow screens relative to growth or broad-market benchmarks.
In recent market cycles, COWZ has delivered exposure through a wider set of holdings, resulting in smoother relative performance during sector rotations favoring diversified value. VFLO’s concentrated approach and growth overlay have positioned it for stronger responsiveness to earnings momentum in high-FCF names within Information Technology and Energy. Both have shown resilience in environments supporting free cash flow leadership, though VFLO’s lower cost and tighter selection may enhance relative positioning during periods of elevated volatility or shifting rate expectations. Differences in holdings breadth contribute to distinct volatility profiles, with COWZ offering broader diversification benefits.
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Based on observable structural factors, Tickeron’s AI would currently assign a modest edge to VFLO due to its lower expense ratio, incorporation of forward-looking growth metrics, and concentrated holdings that align with recent sector momentum in high-FCF areas. COWZ remains competitive through superior diversification and established methodology. The probabilistic assessment favors VFLO’s cost efficiency and screening refinements for investors prioritizing quality signals within the free cash flow theme, though allocation decisions should reflect individual risk tolerance and portfolio construction needs.
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| COWZ | VFLO | COWZ / VFLO | |
| Gain YTD | 19.788 | 41.047 | 48% |
| Net Assets | 20B | 11.3B | 177% |
| Total Expense Ratio | 0.49 | 0.39 | 126% |
| Turnover | 86.00 | 142.00 | 61% |
| Yield | 1.72 | 1.01 | 170% |
| Fund Existence | 10 years | 3 years | - |
| COWZ | VFLO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 82% | 4 days ago 76% |
| Stochastic ODDS (%) | 4 days ago 79% | N/A |
| Momentum ODDS (%) | 4 days ago 78% | 4 days ago 86% |
| MACD ODDS (%) | 4 days ago 82% | 4 days ago 73% |
| TrendWeek ODDS (%) | 4 days ago 76% | 4 days ago 74% |
| TrendMonth ODDS (%) | 4 days ago 84% | 4 days ago 86% |
| Advances ODDS (%) | 5 days ago 85% | 5 days ago 88% |
| Declines ODDS (%) | 7 days ago 77% | 7 days ago 69% |
| BollingerBands ODDS (%) | N/A | 4 days ago 69% |
| Aroon ODDS (%) | 4 days ago 79% | 4 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GAMR | 97.79 | 0.45 | +0.46% |
| Amplify Video Game Leaders ETF | |||
| REM | 21.79 | 0.10 | +0.46% |
| iShares Mortgage Real Estate Capped ETF | |||
| CARU | 23.57 | N/A | N/A |
| Max Auto Industry 3X Leveraged ETN | |||
| AHLT | 29.61 | -0.02 | -0.07% |
| American Beacon AHL Trend ETF | |||
| MSLC | 60.85 | -0.24 | -0.39% |
| Morgan Stanley Pathway Large Cap Eq ETF | |||
A.I.dvisor indicates that over the last year, COWZ has been closely correlated with CE. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if COWZ jumps, then CE could also see price increases.
| Ticker / NAME | Correlation To COWZ | 1D Price Change % | ||
|---|---|---|---|---|
| COWZ | 100% | -1.29% | ||
| CE - COWZ | 74% Closely correlated | -1.17% | ||
| DOW - COWZ | 72% Closely correlated | -3.03% | ||
| APA - COWZ | 71% Closely correlated | -3.19% | ||
| TRGP - COWZ | 70% Closely correlated | -1.19% | ||
| WEX - COWZ | 66% Closely correlated | -0.56% | ||
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A.I.dvisor indicates that over the last year, VFLO has been loosely correlated with ABNB. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if VFLO jumps, then ABNB could also see price increases.
| Ticker / NAME | Correlation To VFLO | 1D Price Change % | ||
|---|---|---|---|---|
| VFLO | 100% | -1.39% | ||
| ABNB - VFLO | 57% Loosely correlated | -1.79% | ||
| ALGN - VFLO | 53% Loosely correlated | -0.76% | ||
| NTAP - VFLO | 52% Loosely correlated | +0.11% | ||
| DOCU - VFLO | 50% Loosely correlated | +3.70% | ||
| PAYX - VFLO | 49% Loosely correlated | -2.69% | ||
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