QQQ beats SCHG and VUG over decade; innovation tilt wins

Three funds dominate the large-cap growth ETF category, each taking a different methodological route to growth exposure. QQQ tracks the Nasdaq-100 (106 non-financial companies), SCHG tracks the Dow Jones U.S. Large-Cap Growth Total Stock Market Index (roughly 200 positions), and VUG tracks the CRSP U.S. Large Cap Growth Index. The question of which captures the next decade of returns from AI capital spending, cloud infrastructure, and mega-cap earnings growth has a measurable ten-year answer: QQQ returned roughly 513%, SCHG roughly 449%, and VUG about 410%.

QQQ's performance rests on a structural design choice. By excluding financial companies and tilting toward software, semiconductors, and platform economics, the Nasdaq-100 concentrates exposure where innovation is most mechanical. NVIDIA sits at about 8% of QQQ's portfolio, Apple near 7%, and Microsoft around 6%, with the top ten holdings representing roughly 47% of assets. Despite this concentration among mega-caps, the fund spreads weight across a longer bench of technology-native names including Netflix, Costco, and cloud infrastructure players. QQQ's 10-year annualized return reached about 21%, compared with roughly 18% for VUG and about 17% for SCHG. Over five years, QQQ returned 95%, and over the past year, 25%.

VUG, by contrast, offers cost efficiency and slightly wider mega-cap diversification. With an expense ratio of 0.03%—the lowest of the three—it has amassed assets under management near $3.23 trillion across the fund family's growth exposure, providing deep liquidity and tight spreads. The portfolio is more concentrated at the top than QQQ: NVIDIA at roughly 13%, Apple 12%, Alphabet 10%, and Microsoft 9%, with Broadcom, Meta, Tesla, Amazon, Eli Lilly, and Visa rounding out the top ten. VUG's 10-year return was about 410%, and its one-year return roughly 17%. It trails both SCHG and QQQ on a cumulative basis over the decade, a tradeoff for its cost advantage and lack of the innovation tilt that has driven Nasdaq-100 outperformance.

SCHG offers a wider net. Holding roughly 200 positions with net assets of about $61 billion and a 0.04% expense ratio, it pulls in names beyond the mega-cap core. Alongside NVIDIA at roughly 11%, Apple at near 10%, and Microsoft at about 7%, the fund holds smaller AI-adjacent names such as Palantir at 1.25%, Arista Networks at 0.57%, and Astera Labs at 0.16%. It even includes early-stage exposure to nuclear and space through Oklo and Rocket Lab. Over the last ten years, SCHG returned roughly 449%, with a one-year gain of 18% and a year-to-date advance of about 10%. The top ten names account for around 57% of the portfolio, and a beta of 1.20 means investors accept above-market volatility.

QQQ's structural edge comes with costs. The fund is structured as a unit investment trust rather than an open-end fund, introducing tracking drag because the trust cannot use derivatives or lend securities the way its peers can. Its expense ratio of 0.18% is the highest of the three by a wide margin. The fund carries a P/E of about 33 with a beta of 1.23, so a rerating in mega-cap tech would hit QQQ harder than SCHG's more diversified sleeve. The body frames the current backdrop as one where, according to Goldman Sachs Asset Management, AI capex is compensating for weaker parts of the underlying economy. State Street's 2026 outlook expects roughly $2.1 trillion of inflows into U.S. ETFs this year, with growth and technology exposure absorbing a disproportionate share. Franklin Templeton's 2026 outlook argues that "the key driver of returns remains innovation, above all in the information technology sector"—a dynamic that mechanically favors QQQ's index design.

For investors, the choice depends on objective. Cost-sensitive investors building a passive core position tend to favor VUG, where a 0.03% fee compounds meaningfully across a decade. SCHG suits investors who want growth beta with a wider net, including exposure to earlier-stage names in AI infrastructure, nuclear, and space that VUG and QQQ largely miss. For investors whose primary question is which fund best captures the next decade of technology-led earnings growth, QQQ earns the winner designation based on its strongest long-run track record, purest structural exposure to innovation-heavy Nasdaq names, and enough diversification within the top ten to avoid a single-name catastrophe. The higher expense ratio and UIT structure are real costs, though the ten-year data show they have been more than offset by index design. What remains to watch is whether AI capex sustains earnings growth at the top of the Nasdaq-100, because that is the assumption underwriting QQQ's edge.