QQQ vs QQQM Overlap
Both funds come from Invesco. QQQ is an equity ETF, while QQQM is an equity ETF. QQQ and QQQM show very heavy overlap, with an estimated weighted overlap of 99.86%. They share 101 holdings in the loaded dataset, led by NVDA, AAPL, and MSFT.
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Quick Answer
Both funds come from Invesco. QQQ is an equity ETF, while QQQM is an equity ETF. QQQ and QQQM show very heavy overlap, with an estimated weighted overlap of 99.86%. They share 101 holdings in the loaded dataset, led by NVDA, AAPL, and MSFT.
- 99.86% weighted overlap across 101 shared holdings.
- The top three shared holdings explain 22.17% of the measured overlap.
- QQQ and QQQM are closer in breadth than a broad-vs-niche ETF pair.
- The overlap is mostly explained by the top shared positions rather than sector labels alone.
- Holding both may add less diversification than the fund names imply.
Data Freshness
- QQQ holdings
- Mar 12, 2026
- QQQM holdings
- Mar 12, 2026
- Overlap computed
- Mar 13, 2026
- Data source
- Financial Modeling Prep
Review the methodology for the overlap formula and refresh policy.
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About These ETFs
What Stands Out In This Comparison
What This Means
Both funds come from Invesco. QQQ is an equity ETF, while QQQM is an equity ETF. QQQ and QQQM are closely aligned. A large share of their portfolio weight is invested in the same companies, especially NVDA, AAPL, and MSFT, which means holding both is likely to feel similar to increasing the size of one core position.
How They Differ
Both funds come from Invesco. QQQ is an equity ETF, while QQQM is an equity ETF. Neither fund clearly dominates on breadth, so the practical difference is more about weighting, index construction, and cost. QQQM has the lower expense ratio, while QQQ charges more for its exposure.
What Drives The Overlap
The overlap is driven by a relatively small set of large shared positions. The top three shared holdings account for 22.17% of the score, which means the result is heavily influenced by the biggest common weights rather than a long tail of tiny positions.
When One May Fit Better
Because QQQ and QQQM are closer in breadth, the better fit usually comes down to index methodology, issuer preference, and cost. QQQM has the lower expense ratio, while QQQ charges more for its exposure.
Overlap Driver Snapshot
Concentration
The top three shared holdings explain 22.17% of the full overlap score.
That helps show whether the score comes from a handful of giant shared positions or from a broader mix of common holdings.
Shared Sector Tilt
Sector tags are not consistently available for the biggest shared positions in this dataset, so this comparison leans more on the specific holdings than on sector labels.
Top Shared Holdings
These are the holdings contributing the most to the overlap score between QQQ and QQQM.
| Holding | Name | QQQ Wt. | QQQM Wt. | Overlap |
|---|---|---|---|---|
| NVDA | NVIDIA Corp | 8.76% | 8.75% | 8.75% |
| AAPL | Apple Inc | 7.52% | 7.51% | 7.51% |
| MSFT | Microsoft Corp | 5.88% | 5.88% | 5.88% |
| AMZN | Amazon.com Inc | 4.47% | 4.47% | 4.47% |
| TSLA | Tesla Inc | 3.89% | 3.88% | 3.88% |
| META | Meta Platforms Inc | 3.75% | 3.74% | 3.74% |
| GOOGL | Alphabet Inc | 3.48% | 3.48% | 3.48% |
| WMT | Walmart Inc | 3.29% | 3.29% | 3.29% |
| GOOG | Alphabet Inc | 3.24% | 3.23% | 3.23% |
| AVGO | Broadcom Inc | 3.15% | 3.15% | 3.15% |
Why These ETFs Overlap
Both funds come from Invesco. QQQ is an equity ETF, while QQQM is an equity ETF. The overlap exists because both funds allocate meaningful weight to the same holdings. In this dataset, the biggest shared drivers are NVDA, AAPL, and MSFT, which appear in both portfolios and push the overlap score higher.
Holding both QQQ and QQQM is usually redundant unless you have a very specific reason to tilt toward their shared holdings. In most cases, one ETF is enough.
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Frequently Asked Questions About QQQ and QQQM
What is the overlap between QQQ and QQQM?+
How many holdings do QQQ and QQQM share?+
Is the QQQ and QQQM overlap high?+
Why do QQQ and QQQM overlap?+
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How Overlap Is Calculated
A straightforward approach used by portfolio analysts.
For every stock that appears in both ETFs, we take the smaller of the two weights. Adding up all those minimums gives the total overlap percentage. A score of 100% means the two ETFs hold the exact same stocks in the same proportions.
Want the full explanation? Read the methodology page.