Investors looking for large-cap U.S. value exposure often come across two Vanguard offerings that seem similar at first glance: VONV and VOOV. Both are passively managed ETFs designed to deliver value-style returns, yet they draw from different indexes and end up with distinct portfolios. I find these small differences in index construction, number of holdings, sector balance, and concentration worth examining because they can influence how each fund behaves over complete market cycles.
VONV aims to track the Russell 1000 Value Index by holding roughly 870–885 stocks in line with the benchmark’s weights. Its largest positions include AMZN, AAPL, MSFT, BRK.B, JPM, XOM, JNJ, and WMT, none of which dominate the portfolio. Sector weights look reasonably balanced across financials, information technology, healthcare, and industrials. The fund’s 0.06% expense ratio and three-year beta around 0.83–0.85 make it a cost-efficient way to gain diversified large-cap value exposure with somewhat lower volatility than the broader market. I also checked this using Tickeron’s AI Screener to see how the holdings compare across the value universe.
VOOV follows the S&P 500 Value Index and holds about 440–457 stocks, resulting in a more concentrated portfolio. Its top positions lean toward mega-cap names, with AAPL accounting for roughly 7–8% of assets, followed by AMZN, XOM, WMT, INTC, COST, BAC, TSLA, and CVX. Technology leads the sector allocation, ahead of financial services, healthcare, and industrials. The expense ratio sits at 0.07% with a three-year beta near 0.83–0.93. From what I see, the heavier weighting in a few large technology names sets it apart from the broader approach taken by VONV.
Both ETFs sit in the large-cap value space, which has drawn fresh interest as investors assess stretched valuations in growth-oriented technology stocks against more stable, cash-generating businesses. Financials have gained from a higher-for-longer rate environment, energy remains tied to commodity prices and geopolitics, healthcare provides defensive characteristics, and industrials respond to infrastructure spending. Key variables include Federal Reserve policy direction, inflation trends, and rotations between growth and value. I’m watching this closely because rising concentration in mega-cap technology names adds another layer of risk for both funds to manage.
Over recent cycles, VONV and VOOV have tracked fairly closely given their shared value focus and overlapping holdings. VOOV has shown slightly greater sensitivity to technology leadership due to its larger stakes in names such as Apple, while VONV’s wider exposure to financials and industrials has delivered a more diversified earnings stream. When financials or energy lead, VONV’s broader footprint can provide a modest edge; when a narrow group of mega-cap technology stocks rallies, VOOV’s concentration may capture more upside. On the risk side, VONV’s lower single-stock concentration reduces the impact of any one name compared with VOOV, where the largest holding represents a much bigger slice of the portfolio. These structural differences tend to create modest but recurring performance gaps over full cycles.
When comparing ETFs like these, I often turn to Tickeron’s AI Screener to quickly filter holdings by sector weights, concentration metrics, and cost factors. It helps surface how the two funds stack up against each other and against other value-oriented vehicles without spending hours on manual analysis. The tool’s customizable filters for industry, market cap, and performance metrics make it straightforward to refine an ETF comparison and align it with a specific strategy.
Based on the structural factors outlined above, Tickeron’s AI currently favors VONV over VOOV. The broader universe of roughly 870 holdings delivers materially greater diversification and lower single-stock concentration than VOOV’s more compact portfolio. The 0.06% expense ratio also undercuts VOOV’s 0.07% fee, creating a modest long-term cost advantage, while the more balanced sector allocation across financials, technology, healthcare, and industrials supports steadier exposure during value rotations. Although VOOV could outperform during narrow mega-cap technology rallies, VONV’s combination of breadth, cost efficiency, and diversified positioning makes it the more resilient choice across complete market cycles.
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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.
VOOV 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. In 33 of 35 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on November 09, 2026. You may want to consider a long position or call options on VOOV as a result. In 72 of 82 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 VOOV just turned positive on November 11, 2026. Looking at past instances where VOOV's MACD turned positive, the stock continued to rise in 46 of 53 cases over the following month. The odds of a continued upward trend are 87%.
The 10-day moving average for VOOV crossed bullishly above the 50-day moving average on October 20, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 8 of 12 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 67%.
Following a +1.00% 3-day Advance, the price is estimated to grow further. Considering data from situations where VOOV advanced for three days, in 288 of 348 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
The Aroon Indicator entered an Uptrend today. In 309 of 384 cases where VOOV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 80%.
The 10-day RSI Indicator for VOOV moved out of overbought territory on November 05, 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 41 similar instances where the indicator moved out of overbought territory. In 27 of the 41 cases, the stock moved lower in the following days. This puts the odds of a move lower at 66%.
The Stochastic Oscillator has been in the overbought zone for 1 day. 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 VOOV 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 70%.
VOOV 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