QQQ vs QQQM: Complete Comparison

Invesco QQQ Trust vs Invesco NASDAQ 100 ETF โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
49.45%
Moderate Overlap
Shared Holdings
10 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

QQQ
QQQM
49.5%
QQQ Only
Overlap
QQQM Only

๐Ÿ“ˆ Comparison

Metric
QQQ
QQQM
1 Year Return
+28.2%
N/A
3 Year Return
+12.5%
N/A
5 Year Return
+20.1%
N/A
Volatility
22.50%
undefined%
Expense Ratio
0.20%โœ“
0.50%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš”๏ธ Comparison

10 - 2

๐Ÿ† QQQ wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
QQQ:0.20%โœ“
vs
QQQM:0.50%โœ“
๐ŸŽฏ Number of Holdings
QQQ:101 holdingsโœ“
vs
QQQM:10 holdingsโœ“
โ–ถAdditional Metrics (3)
โš–๏ธ Concentration Risk
QQQ: 49.6% in top 10
QQQM: 46.9% in top 10
๐Ÿ“Š Assets Under Management
QQQ: $220B โœ“โœ“
QQQM: $5B
๐Ÿ” Uniqueness vs SPY
QQQ: 48.3% unique
QQQM: 61.7% uniqueโœ“

Bottom line: QQQ wins with better expense ratio and number of holdings. Consider QQQ for your portfolio, but QQQM is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

10 shared holdings representing 49.5% portfolio overlap

Top Shared Holdings

#StockQQQ WeightQQQM WeightOverlap
1
AAPL
AAPL
7.94%8.85%7.94%
2
NVDA
NVDA
8.99%7.45%7.45%
3
MSFT
MSFT
7.12%7.92%7.12%
4
AMZN
AMZN
4.87%5.38%4.87%
5
META
META
3.85%3.82%3.82%
6
AVGO
AVGO
3.24%3.55%3.24%
7
GOOGL
GOOGL
3.58%2.85%2.85%
8
GOOG
GOOG
3.35%2.45%2.45%
9
TSLA
TSLA
4.21%2.38%2.38%
10
COST
COST
2.09%2.28%2.09%

Overlap by Sector

Technology
7 stocks ยท 34.87% overlap
Consumer Discretionary
2 stocks ยท 7.25% overlap
Consumer Staples
1 stocks ยท 2.09% overlap

Showing top 5 sectors by overlap contribution

10
Shared Stocks
49.5%
Total Overlap
3
Sectors Represented

Top Holdings Only in QQQ

Unique to QQQ

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
PLTRPLTR2.40%
NFLXNFLX2.15%
AMDAMD1.90%
MUMU1.75%
CSCOCSCO1.67%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = ฮฃ min(weightA, weightB) for each shared holding

Normalization: Holdings weights are normalized to sum to 100% before comparison. This ensures accurate overlap calculations even when analyzing partial holdings data (e.g., top 50 positions).

Conservative approach: We consider only the smaller allocation for each shared position, giving you a realistic view of true portfolio overlap.

๐Ÿ“Š This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.

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