QQQ
Price
$739.81
Change
-$4.40 (-0.59%)
Updated
Jun 4, 01:18 PM (EDT)
Net Assets
494.28B
Intraday BUY SELL Signals
QQQM
Price
$304.65
Change
-$1.96 (-0.64%)
Updated
Jun 4, 01:18 PM (EDT)
Net Assets
98.29B
Intraday BUY SELL Signals
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QQQ vs QQQM

Header iconQQQ vs QQQM Comparison
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QQQ vs QQQM Comparison Chart in %
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Which ETF would AI Choose? Invesco QQQ ETF (QQQ) vs. Invesco NASDAQ 100 ETF (QQQM)

Key Takeaways

  • Both ETFs track the Nasdaq-100 Index, providing identical exposure to the 100 largest non-financial companies listed on Nasdaq, with top holdings led by NVDA (8.75%), AAPL (7.51%), and MSFT (5.89%).
  • QQQM offers a lower expense ratio of 0.15% compared to QQQ's 0.18%, delivering cost efficiency for long-term buy-and-hold investors.
  • QQQ provides superior liquidity with over 70 million shares in average daily volume, ideal for active traders and options strategies, while QQQM suits passive strategies.
  • Sector allocations are nearly identical: Technology (~60%), Consumer Discretionary (21%), with both exhibiting similar volatility profiles tied to tech sector dynamics.
  • Recent performance tracks closely, with 1-year returns around 20% and 3-year annualized ~28%, driven by shared exposure to AI and innovation themes.
  • QQQ's larger AUM (~$392B vs. $71B) enhances structural stability, but QQQM's open-end ETF structure supports better tax efficiency and dividend reinvestment.

Introduction

In the current market environment, investors seeking concentrated exposure to innovative large-cap growth stocks are drawn to Nasdaq-100 trackers like QQQ and QQQM. Both ETFs compete directly, offering identical index replication but differing in cost structure, liquidity, and fund mechanics. As tech-heavy portfolios navigate AI-driven capital flows and macroeconomic shifts, this comparison highlights their structural nuances for ETF comparison, sector exposure, and relative positioning in growth-oriented strategies.

Invesco QQQ ETF (QQQ) Overview

The Invesco QQQ ETF tracks the Nasdaq-100 Index, comprising approximately 102 holdings of the largest domestic and international non-financial companies listed on Nasdaq. Top holdings include NVDA (8.75%), AAPL (7.51%), MSFT (5.89%), AMZN (4.47%), and TSLA (3.88%), with the top 10 accounting for ~47%. Sector allocations emphasize Technology at 59.77%, Consumer Discretionary at 20.75%, and Health Care at 5.25%. Its expense ratio is 0.18%. Originally structured as a Unit Investment Trust (recently reclassified), QQQ excels in liquidity with massive AUM and high trading volume, supporting passive index replication with quarterly rebalancing.

Invesco NASDAQ 100 ETF (QQQM) Overview

The Invesco NASDAQ 100 ETF mirrors the Nasdaq-100 Index with ~103 holdings, featuring the same top weights: NVDA (8.75%), AAPL (7.51%), MSFT (5.89%), AMZN (4.46%), and TSLA (3.88%). Sector breakdown matches closely: Technology 59.77%, Consumer Discretionary 20.75%, Health Care 5.25%. It carries a lower expense ratio of 0.15% and operates as a traditional open-end ETF, enabling securities lending and efficient dividend reinvestment. Quarterly rebalanced, QQQM targets long-term investors with its cost advantage while maintaining full index fidelity.

Industry and Thematic Backdrop

The Nasdaq-100 thrives amid surging AI investments, with hyperscalers like Microsoft, Amazon, Alphabet, and Meta projecting over $600 billion in 2026 capex for data centers and infrastructure. Capital flows favor tech innovation, cloud computing, and semiconductors, bolstered by strong earnings cycles. Macro drivers include interest rate expectations and geopolitical stability, though risks from elevated valuations and energy demands persist. Sector rotation into AI catalysts sustains momentum, positioning both ETFs favorably in growth environments despite broader market volatility.

Performance and Positioning Comparison

Over recent market cycles, QQQ and QQQM have delivered aligned results, with 1-year returns near 20% and 3-year annualized around 28%, reflecting tight index tracking. In recent weeks and months, both navigated tech pullbacks amid rate shifts, exhibiting comparable volatility (beta ~1.15). QQQ's liquidity edge minimizes spreads for tactical trades, while QQQM's fee savings compound in uptrends linked to NVDA earnings and AI momentum. Relative positioning remains converged, with outperformance tied to sector exposure rather than structural differences.

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Tickeron AI Verdict

Tickeron’s AI currently favors QQQM for its superior cost efficiency (0.15% expense ratio), enhanced tax profile via open-end structure, and identical diversification to the Nasdaq-100 amid sustained tech momentum. While QQQ leads in liquidity for active positioning, QQQM's structural strength offers probabilistic advantages in prolonged growth cycles, with ~0.03% annual edge compounding over time.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
QQQ vs. QQQM commentary
Jun 04, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is QQQ is a Buy and QQQM is a Buy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
QQQ has more net assets: 494B vs. QQQM (98.3B). QQQM (21.394) and QQQ (21.298) have matching annual dividend yield . QQQ was incepted earlier than QQQM: QQQ (27 years) vs QQQM (6 years). QQQM (0.15) has a lower expense ratio than QQQ (0.18). QQQ has a higher turnover QQQM (6.00) vs QQQM (6.00).
QQQQQQMQQQ / QQQM
Gain YTD21.29821.394100%
Net Assets494B98.3B503%
Total Expense Ratio0.180.15120%
Turnover7.986.00133%
Yield0.380.4291%
Fund Existence27 years6 years-
TECHNICAL ANALYSIS
Technical Analysis
QQQQQQM
RSI
ODDS (%)
Bearish Trend 1 day ago
69%
Bearish Trend 1 day ago
64%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
82%
Bearish Trend 1 day ago
82%
Momentum
ODDS (%)
N/A
N/A
MACD
ODDS (%)
Bullish Trend 1 day ago
80%
Bullish Trend 1 day ago
80%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
88%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
88%
Advances
ODDS (%)
Bullish Trend 3 days ago
87%
Bullish Trend 3 days ago
87%
Declines
ODDS (%)
Bearish Trend 17 days ago
80%
Bearish Trend 17 days ago
80%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
81%
Bearish Trend 1 day ago
81%
Aroon
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
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QQQ
Daily Signal:
Gain/Loss:
QQQM
Daily Signal:
Gain/Loss:
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QQQ and

Correlation & Price change

A.I.dvisor indicates that over the last year, QQQ has been closely correlated with LRCX. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQQ jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To QQQ
1D Price
Change %
QQQ100%
-0.26%
LRCX - QQQ
70%
Closely correlated
+2.78%
NVDA - QQQ
68%
Closely correlated
-3.62%
KLAC - QQQ
66%
Loosely correlated
+3.91%
ASML - QQQ
65%
Loosely correlated
+1.23%
AMAT - QQQ
65%
Loosely correlated
+2.19%
More

QQQM and

Correlation & Price change

A.I.dvisor indicates that over the last year, QQQM has been closely correlated with LRCX. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQQM jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To QQQM
1D Price
Change %
QQQM100%
-0.20%
LRCX - QQQM
70%
Closely correlated
+2.78%
NVDA - QQQM
69%
Closely correlated
-3.62%
KLAC - QQQM
66%
Closely correlated
+3.91%
ASML - QQQM
65%
Loosely correlated
+1.23%
AMAT - QQQM
65%
Loosely correlated
+2.19%
More