Consumer staples remain a core holding for many defensive equity portfolios, and these three ETFs stand out as established options in the space. FSTA and VDC follow broad MSCI U.S. consumer staples indexes that include large-, mid-, and small-cap names, whereas XLP tracks a more focused index limited to S&P 500 staples stocks. The comparison essentially comes down to differences in breadth, concentration, and liquidity, even though the funds share many of the same top positions. With factors like inflation, rate expectations, and consumer resilience still influencing flows, understanding these structural distinctions helps investors choose the right fit.
FSTA aims to track the MSCI USA IMI Consumer Staples 25/50 Index, covering large-, mid-, and small-cap U.S. staples companies. It holds roughly 100 stocks, led by mega-caps such as WMT (around 14%), COST (around 12%), PG (around 9–10%), KO (around 8%), and PEP along with PM at roughly 4–5% each. Exposure stays almost entirely within consumer staples, with only a small cyclical component. The expense ratio sits at 0.08%. Launched in 2013 and non-diversified by designation, FSTA has the smallest AUM of the group, which can influence trading efficiency to a modest degree. I also checked this using Tickeron’s AI Screener to see how the fund stacks up against peers on liquidity and volatility metrics.
VDC follows the MSCI US Investable Market Consumer Staples 25/50 Index, a broad market-cap-weighted benchmark that spans large-, mid-, and small-cap U.S. staples names. The portfolio includes roughly 105 stocks, with WMT (about 14%), COST (about 12%), PG (about 10%), and KO (about 8–9%) at the top, followed by PM, PEP, and MO. It carries a 0.09% expense ratio and has been around since 2004, giving it one of the longer track records. With roughly $9 billion in AUM, VDC provides solid secondary-market liquidity and holds substantially all index constituents in proportion to their weights.
XLP tracks the Consumer Staples Select Sector Index, which draws only from staples names in the S&P 500. This makes it the most concentrated option, with about 38 holdings and a large-cap focus. Top positions include WMT (around 11%), COST (around 9–10%), PG (around 7–8%), KO (around 7%), and PM (around 6%), with MDLZ, PEP, and CL each near 4%. The expense ratio is 0.08%. Launched in 1998 and holding roughly $15 billion in AUM, XLP is the oldest and most liquid of the three, though its narrower scope leaves out smaller staples companies.
The same external pressures shape all three ETFs. Consumer staples are generally viewed as defensive because demand for food, beverages, household goods, and personal-care items tends to hold steady through economic cycles. Recent sentiment has been shaped by packaged-goods inflation, consumer trade-down patterns, and the strength of large discount retailers such as WMT and COST. Regulatory attention on tobacco and nicotine products touches names like PM and MO, while input-cost swings affect food producers. Rising yields can also pressure the sector, which many hold for income. These themes influence the funds in similar ways, but the concentration in XLP versus the broader spread in FSTA and VDC alters how each handles single-stock events.
Over recent weeks and months the three funds have moved largely together, given their shared top holdings. VDC and FSTA have historically delivered near-identical total returns and similar maximum drawdowns, reflecting their comparable index construction. XLP tends to show more sensitivity to moves in mega-cap staples names because of its 38-stock lineup, although its higher dividend yield has helped total returns in flatter markets. All three carry below-market beta, consistent with the sector’s defensive profile. The main structural difference remains concentration risk: XLP’s narrower set can amplify single-stock or subsector swings, while FSTA and VDC distribute exposure more widely, with VDC adding the strongest liquidity base.
In my own research process, I’ve turned to Tickeron’s AI Screener to quickly compare ETF characteristics across sectors. The tool helps surface differences in holdings, liquidity, and volatility without manual number-crunching, which has been useful when evaluating options like these staples funds. It supports customizable filters on industry, market cap, and performance metrics, letting me refine views on diversification and risk in a more efficient way.
Based on structural strength, diversification depth, cost efficiency, and risk-adjusted positioning, Tickeron’s AI would likely favor VDC. It combines a broad, market-cap-weighted portfolio of roughly 105 holdings with a competitive 0.09% expense ratio, deep AUM and liquidity, and a two-decade track record. While FSTA offers a marginally lower fee and XLP offers higher yield and greater liquidity, VDC provides the most balanced trade-off between diversification and defensive stability—reducing single-stock concentration risk without sacrificing sector purity. This is a probabilistic assessment of structural characteristics, not personal investment advice.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
The 10-day RSI Indicator for VDC moved out of overbought territory on October 23, 2026. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 34 instances where the indicator moved out of the overbought zone. In 28 of the 34 cases the stock moved lower in the days that followed. This puts the odds of a move down at 82%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 47 of 66 cases where VDC's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 71%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where VDC declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 76%.
VDC broke above its upper Bollinger Band on October 14, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Momentum Indicator moved above the 0 level on October 08, 2026. You may want to consider a long position or call options on VDC as a result. In 89 of 101 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 88%.
The Moving Average Convergence Divergence (MACD) for VDC just turned positive on October 07, 2026. Looking at past instances where VDC's MACD turned positive, the stock continued to rise in 42 of 47 cases over the following month. The odds of a continued upward trend are 89%.
VDC moved above its 50-day moving average on October 12, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for VDC crossed bullishly above the 50-day moving average on October 16, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 15 of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 88%.
Following a +1.72% 3-day Advance, the price is estimated to grow further. Considering data from situations where VDC advanced for three days, in 256 of 331 cases, the price rose further within the following month. The odds of a continued upward trend are 77%.
The Aroon Indicator entered an Uptrend today. In 212 of 299 cases where VDC Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 71%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category ConsumerStaples