Investors comparing IVV and SPHQ are weighing two different approaches to U.S. large-cap equities. IVV serves as the benchmark core holding that mirrors the entire S&P 500, while SPHQ filters that same universe for companies with superior earnings quality and balance-sheet strength. The two funds do not compete head-to-head so much as represent alternative paths toward similar investor goals: broad American equity exposure versus a quality-tilted, potentially more defensive version of it. As concentration in mega-cap technology names rises and investors reassess risk, understanding the structural differences between these funds has become increasingly relevant for both retail and professional portfolios. I also checked this using Tickeron’s AI Screener to see how the funds compare on key metrics.
IVV is a passively managed, market-capitalization-weighted fund that seeks to track the performance of the S&P 500 Index, a benchmark of roughly 500 of the largest publicly traded U.S. companies. It holds approximately 503 securities and charges a 0.03% expense ratio, making it among the lowest-cost ways to own the broad U.S. large-cap market.
Information technology is the dominant sector, representing roughly 39% of assets, followed by financials (about 12%), healthcare (about 10%), communication services (about 9%), and consumer discretionary (about 9%). Top holdings include NVDA (NVIDIA), AAPL (Apple), MSFT (Microsoft), AMZN (Amazon), GOOGL (Alphabet), AVGO (Broadcom), META (Meta Platforms), and TSLA (Tesla). As a highly liquid, fully transparent fund with a beta of approximately 1.0, IVV functions as a broad-market barometer rather than a targeted factor strategy. From what I see, its simplicity makes it a reliable starting point for many portfolios.
SPHQ is a smart beta, rules-based fund that tracks the S&P 500 Quality Index. Rather than holding the full index, it selects roughly 100 S&P 500 constituents with the highest "quality" scores, measured through three fundamental metrics: return on equity, the accruals ratio (which gauges the reliability of reported earnings), and financial leverage. It carries a 0.15% expense ratio and is rebalanced periodically to maintain its factor profile.
Information technology still leads the sector mix at roughly 30–40%, but SPHQ allocates substantially more to industrials (around 17–26%), financials (around 15–17%), and consumer staples than IVV. Top holdings have included AAPL (Apple), MA (Mastercard), V (Visa), GE (GE Aerospace), PG (Procter & Gamble), COST (Costco), KO (Coca-Cola), CAT (Caterpillar), and LRCX (Lam Research). With a historical beta below 1.0, SPHQ is designed to participate in up markets while offering comparatively lower volatility. One thing that stands out here is how the quality screen shifts the risk profile.
Both funds operate within the broader U.S. large-cap equity landscape, where a handful of mega-cap technology and communication-services names continue to dominate index weightings. That concentration amplifies both funds' sensitivity to semiconductor demand, artificial-intelligence capital spending, and cloud-computing growth. At the same time, interest-rate expectations, inflation trends, and earnings-cycle durability across sectors such as industrials, financials, and healthcare shape relative performance. For a quality-screened fund like SPHQ, the current emphasis on balance-sheet strength, consistent profitability, and cash-flow reliability aligns with a market environment in which investors are increasingly scrutinizing valuation and earnings quality rather than pursuing growth at any price. I’m watching this closely as sector rotations evolve.
In recent months and market cycles, IVV has generally tracked the broad market closely, benefiting from sustained leadership in mega-cap technology. SPHQ, by contrast, has delivered a somewhat different return pattern: its quality filter and more balanced sector mix have historically translated into lower realized volatility and a defensive tilt during risk-off episodes, even as it may lag during sharp, speculative rallies driven by the largest growth names. The relative positioning comes down to concentration and beta. IVV's near-1.0 beta and heavy technology weighting make it a purer play on broad-market momentum, while SPHQ's lower beta and factor-driven selection favor investors seeking steadier compounding and reduced drawdown risk across changing sector rotations.
When evaluating ETFs like these, I often rely on Tickeron’s AI Screener to quickly filter options by sector weights, beta, and expense ratios. It helps surface comparable holdings and highlights how quality factors might influence positioning without manual number-crunching. This approach keeps the comparison grounded in data I can review efficiently.
Based on observable structural factors, Tickeron's AI would likely favor SPHQ in the current environment. The fund's quality-factor screen tilts toward companies with high return on equity, low financial leverage, and reliable earnings—characteristics that tend to hold up better when valuations are extended and single-theme concentration risk is elevated. While IVV wins decisively on cost (0.03% versus 0.15%) and raw diversification, SPHQ's lower beta, more balanced sector composition, and defensive positioning offer a potentially more favorable risk-adjusted profile during periods of rotation away from mega-cap growth leadership. This is a probabilistic assessment of relative structure and positioning, not a prediction of short-term returns.
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IVV may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 36 of 40 cases where IVV's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.
Following a +0.91% 3-day Advance, the price is estimated to grow further. Considering data from situations where IVV advanced for three days, in 295 of 361 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.
The Aroon Indicator entered an Uptrend today. In 363 of 421 cases where IVV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 86%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 50 of 70 cases where IVV's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 71%.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on IVV as a result. In 61 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 78%.
The Moving Average Convergence Divergence Histogram (MACD) for IVV turned negative on October 15, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In 36 of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at 69%.
IVV moved below its 50-day moving average on October 30, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for IVV crossed bearishly below the 50-day moving average on October 30, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 12 of 16 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 75%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where IVV 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 75%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeBlend