Invesco QQQ Trust has surged 45.66% over the past year, while the Direxion NASDAQ-100 Equal Weighted Index Shares have returned 27.51%, widening the gap between the two funds even though both own the same 100 stocks. The spread has become a study in weighting, with QQQ’s top eight names — Apple, Microsoft, NVIDIA, Amazon, Alphabet, Meta, Broadcom and Tesla — doing most of the work.
Austin Smith calls that edge “the concentration premium.” He also describes it as “a winner-take-most dynamic,” and for investors who have stayed with QQQ, the numbers have rewarded that bet. The fund is up 15.78% year to date, compared with 11.66% for QQQE, after five-year returns of 112.82% and 55.05%, respectively, and ten-year gains of 562.66% and 311.52%.
The difference is structural. QQQ tracks the NASDAQ 100 by market capitalization, which means the biggest companies carry the most weight. QQQE resets every constituent to roughly 1% weight at its quarterly rebalance, spreading exposure across all 100 stocks instead of letting the largest names dominate. That makes QQQE less dependent on any single megacap and more of a broadness play in the same index family.
The AI infrastructure spending cycle has widened the return gap between cap-weighted and equal-weight NASDAQ-100 exposure. The article says the top eight names collectively account for the majority of the fund’s price action, while smaller biotech and software names failed to mean-revert higher, leaving the equal-weight version with less lift from the rest of the index. That has kept the performance gap open even after a strong run for the broader technology complex.
Costs add another layer. QQQ carries a 0.18% expense ratio, while QQQE charges 0.35%. QQQE also generates more turnover from quarterly rebalancing, which can create a mild drag in taxable accounts on top of the higher fee. Smith calls it “a breadth bet dressed as a tech ETF,” a reminder that the fund is built to make the rest of the Nasdaq-100 matter more.
For now, the market keeps rewarding concentration. Investors who want the biggest winners have been better served by QQQ, while those seeking a steadier spread across the index have accepted lower returns in exchange for less reliance on the eight mega-cap names driving much of the action. The next test is whether the AI spending wave broadens enough to let the equal-weight version catch up, or whether the same handful of stocks keeps setting the pace.
