Consumer staples exchange-traded funds (ETFs) attract attention during periods of economic uncertainty because they focus on companies providing essential goods such as food, beverages, and household products. FSTA and VDC compete directly by delivering similar market-cap-weighted exposure to the same broad sector. Investors often compare them when evaluating cost efficiency, diversification within staples, and structural features for long-term portfolio allocation rather than short-term trading.
FSTA is a passive ETF that seeks to track the performance of the MSCI USA IMI Consumer Staples 25/50 Index before fees and expenses. The fund holds approximately 98 stocks and maintains a market-capitalization weighting approach with capping rules to comply with diversification requirements. Top holdings typically include Walmart, Costco Wholesale, Procter & Gamble, Coca-Cola, and Philip Morris International. Sector allocations concentrate in consumer staples merchandise retail, beverages, and household products. The expense ratio stands at 0.08%. Launched in 2013, the ETF uses physical replication and distributes dividends quarterly.
VDC is a passive ETF designed to track the MSCI US Investable Market Consumer Staples 25/50 Index. It holds approximately 103–108 stocks and applies market-capitalization weighting with similar capping constraints. Top holdings mirror those of comparable staples funds, featuring Walmart, Costco Wholesale, Procter & Gamble, Coca-Cola, and Philip Morris International. Allocations emphasize merchandise retail, soft drinks, and household products within the consumer staples sector. The expense ratio is 0.09%. The fund launched in 2004, employs physical replication, and pays dividends quarterly.
The consumer staples sector encompasses companies producing or distributing everyday necessities that exhibit relatively stable demand across economic conditions. Macroeconomic drivers include consumer spending patterns, inflation effects on input costs, interest rate environments influencing borrowing for retailers, and shifts in commodity prices for agricultural and packaging inputs. Regulatory developments around food safety, labeling, and environmental standards can affect operations. Capital flows into defensive sectors often increase during market volatility or slowing growth periods, while risks include changing consumer preferences toward value brands and potential margin pressure from rising wages or supply chain disruptions.
Both ETFs have demonstrated resilience in recent market cycles due to their focus on defensive staples companies with consistent earnings profiles. Relative positioning shows modest differences stemming from slight variations in holdings count and index construction details. FSTA may exhibit marginally lower costs that support long-term compounding, while VDC benefits from greater scale and liquidity. Volatility differences remain limited given the shared sector focus, with performance influenced by sector rotation toward or away from staples during earnings seasons and broader macroeconomic shifts such as interest rate expectations.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to refine your investment research.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic edge to FSTA due to its slightly lower expense ratio and comparable diversification profile within the consumer staples sector. VDC remains a strong alternative given its larger scale and established history. Selection ultimately depends on investor preferences for cost versus liquidity in similar sector exposure.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| FSTA | VDC | FSTA / VDC | |
| Gain YTD | 6.162 | 6.107 | 101% |
| Net Assets | 1.41B | 7.76B | 18% |
| Total Expense Ratio | 0.08 | 0.09 | 93% |
| Turnover | 13.00 | 9.00 | 144% |
| Yield | 2.18 | 2.09 | 104% |
| Fund Existence | 13 years | 23 years | - |
| FSTA | VDC | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 73% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 73% | 2 days ago 74% |
| TrendMonth ODDS (%) | 2 days ago 71% | 2 days ago 72% |
| Advances ODDS (%) | 9 days ago 79% | 9 days ago 78% |
| Declines ODDS (%) | 2 days ago 74% | 2 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 86% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 69% | 2 days ago 72% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BWG | 7.32 | 0.04 | +0.55% |
| BrandywineGLOBAL Global Income Opportunities Fund | |||
| PBFB | 32.69 | 0.13 | +0.40% |
| PGIM S&P 500 Buffer 20 ETF - February (PBFB) | |||
| ACYS | 20.59 | 0.05 | +0.24% |
| FT Vest Laddered Autocallable Barrier & Resilient Income ETF (ACYS) | |||
| RKNG | 25.19 | N/A | N/A |
| Defiance Retail Kings ETF | |||
| GTO | 45.42 | -0.09 | -0.19% |
| Invesco Total Return Bond ETF (GTO) | |||
A.I.dvisor indicates that over the last year, FSTA has been closely correlated with CL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if FSTA jumps, then CL could also see price increases.
| Ticker / NAME | Correlation To FSTA | 1D Price Change % | ||
|---|---|---|---|---|
| FSTA | 100% | -0.41% | ||
| CL - FSTA | 70% Closely correlated | -1.38% | ||
| WMT - FSTA | 70% Closely correlated | +0.67% | ||
| PG - FSTA | 69% Closely correlated | -0.21% | ||
| PEP - FSTA | 67% Closely correlated | -0.12% | ||
| CHD - FSTA | 61% Loosely correlated | +0.78% | ||
More | ||||
A.I.dvisor indicates that over the last year, VDC has been closely correlated with CL. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if VDC jumps, then CL could also see price increases.