RSPS and XLP both sit squarely inside the consumer staples sector, yet they are far from interchangeable. This ETF comparison matters right now because investors increasingly treat staples as a defensive anchor amid concerns about economic growth, inflation, and equity-market volatility. The two funds do not compete on identical terms: RSPS offers an equal-weighted alternative that dilutes the influence of the largest companies, while XLP represents the traditional, capitalization-weighted benchmark for the sector. Understanding that structural contrast—rather than any short-term price gap—is the key to evaluating their sector exposure, fund performance, and relative positioning.
RSPS tracks the S&P 500 Equal Weight Consumer Staples Index, a passively managed strategy that assigns roughly equal weight to every consumer staples company within the S&P 500. The fund holds approximately 37–39 positions, and no single name dominates: top holdings such as KR, COST, PG, PM, and MO each account for roughly 3% of assets. The portfolio is rebalanced quarterly to restore equal weights, which mechanically tilts exposure toward mid-sized names and away from mega-cap leaders. Sector allocation is almost entirely consumer defensive, with a small consumer cyclical component. RSPS carries a 0.40% expense ratio—higher than its cap-weighted peers—and its comparatively modest asset base of a few hundred million dollars translates into lighter trading liquidity and wider bid-ask spreads relative to larger staples funds. I also checked this using Tickeron’s AI Screener to see how the holdings compare across the sector.
XLP seeks to track the Consumer Staples Select Sector Index, the market-capitalization-weighted representation of consumer staples companies within the S&P 500. With roughly 37–38 holdings, the fund is heavily concentrated at the top: WMT and COST together represent nearly 20% of the portfolio, followed by PG, KO, and PM. Other notable positions include MO, CL, MDLZ, PEP, and TGT. This structure means XLP's performance is disproportionately driven by its largest constituents. The fund charges a competitive 0.08% expense ratio, launched in 1998, and manages roughly $14–15 billion in assets, giving it among the deepest liquidity in the consumer staples category. The portfolio is overwhelmingly consumer defensive, with minimal consumer cyclical exposure.
Both ETFs operate in a sector defined by necessity-driven demand for food, beverages, household products, and tobacco—businesses that tend to hold up better than cyclicals when the economy softens. In recent market cycles, investors have rotated toward staples as a hedge against slowing growth and sticky inflation, supporting defensive positioning across the sector. At the same time, the group faces structural challenges: input-cost inflation, pricing pressure on packaged goods, shifting consumer preferences toward private-label and value brands, and regulatory scrutiny of nicotine products. These forces weigh unevenly across holdings, which is precisely why weighting methodology matters—cap-weighted funds feel the impact of mega-cap retail leaders more acutely, while equal-weight funds are more sensitive to mid-cap food, beverage, and household names.
Over recent months and market cycles, XLP has generally delivered stronger total returns and a shallower maximum drawdown than RSPS, reflecting both the momentum of its largest holdings and its structural cost advantage. The concentration in WMT and COST has worked in XLP's favor as large-cap staples have outperformed smaller sector constituents. RSPS, by contrast, carries greater exposure to mid-cap names such as food processors and convenience retailers, whose earnings cycles have been more uneven. Both funds exhibit low beta relative to the broad market, confirming their defensive role, but XLP's lower expense ratio and tighter spreads give it a subtle compounding edge in relative positioning. In volatile environments, the difference in liquidity also becomes more pronounced, favoring the larger, more heavily traded fund. From what I see, the data consistently points to these structural differences driving the outcomes.
One tool I turn to for comparing funds like these is Tickeron’s AI Screener. It lets me quickly filter ETFs by industry, technical patterns, fundamentals, and performance metrics, which helps surface relative strengths without manual effort. I find it particularly useful when evaluating liquidity and cost factors side by side.
Weighing structural strength, cost efficiency, diversification, trend consistency, and risk exposure, Tickeron's AI would currently favor XLP over RSPS. XLP combines a materially lower expense ratio, substantially deeper liquidity, and more consistent relative performance in recent market cycles, while its concentration in mega-cap staples has aligned with prevailing sector momentum. RSPS offers a genuinely differentiated equal-weight approach that reduces single-stock risk, but its higher cost and lighter trading profile make it a less compelling holding in most comparative frameworks. This assessment is probabilistic and reflects observable fund characteristics rather than a prediction of future returns.
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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 Moving Average Convergence Divergence (MACD) for XLP turned positive on October 07, 2026. Looking at past instances where XLP's MACD turned positive, the stock continued to rise in 40 of 46 cases over the following month. The odds of a continued upward trend are 87%.
The Momentum Indicator moved above the 0 level on October 08, 2026. You may want to consider a long position or call options on XLP as a result. In 72 of 96 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 75%.
XLP 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 XLP 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 13 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 76%.
Following a +3.00% 3-day Advance, the price is estimated to grow further. Considering data from situations where XLP advanced for three days, in 254 of 315 cases, the price rose further within the following month. The odds of a continued upward trend are 81%.
The Aroon Indicator entered an Uptrend today. In 239 of 309 cases where XLP Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 77%.
The 10-day RSI Indicator for XLP moved out of overbought territory on November 03, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 36 similar instances where the indicator moved out of overbought territory. In 27 of the 36 cases, the stock moved lower in the following days. This puts the odds of a move lower at 75%.
The Stochastic Oscillator has been in the overbought zone for 2 days. Expect a price pull-back in the near future.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where XLP 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%.
XLP broke above its upper Bollinger Band on November 04, 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category ConsumerStaples