ETF Analytics
QQQM Holdings: Top Nasdaq-100 Stocks, Weights and Expense Ratio
Fund Profile · Cost · Size · Liquidity · Exposure
QQQMInvesco NASDAQ 100 ETF
Financial Services / Asset Management
Low Priority
In Line With Peers
Latest quote
- Momentum35
- Value35
- Quality68
- Risk resilience72
- Sentiment50
QQQM answer
QQQM, the Invesco NASDAQ 100 ETF, holds 109 positions tracking the Nasdaq-100: the largest non-financial companies listed on the Nasdaq. Its largest positions are NVDA (8.5%), AAPL (7.7%), MSFT (5.9%), MU (4.9%), AMZN (4.4%), and the top ten make up 47.0% of the fund. By sector it leans toward Technology (58.8%), Communication Services (12.1%), Consumer Cyclical (10.2%). QQQM's expense ratio is 0.15%: about $15.00 a year for every $10,000 invested.
- Largest holdings
- NVDA, AAPL, MSFT
- Top 10 weight
- 47.0%
- Holdings
- 109
- Expense ratio
- 0.15%
- Fund size
- $80.59B
- Top sectors
- Technology (58.8%), Communication Services (12.1%), Consumer Cyclical (10.2%)
QQQM Holdings
109 holdings; the ten largest make up 46.98% of the fund. Holdings as of Sep 12, 2026.
- Holdings
- 109
- Top 10 weight
- 46.98%
- Share of the fund in its ten largest positions
- Largest holding
- NVDA
- 8.49%
- Expense ratio
- 0.15%
- $15.00 a year per $10,000
- Fund size
- $80.59B
- Top sector
- Technology
- 58.84%
| Rank | Symbol | Holding | Weight | Market value |
|---|---|---|---|---|
| 1 | NVDA | NVIDIA Corp | 8.49% | $8.83B |
| 2 | AAPL | Apple Inc | 7.71% | $8.02B |
| 3 | MSFT | Microsoft Corp | 5.88% | $6.11B |
| 4 | MU | Micron Technology Inc | 4.89% | $5.09B |
| 5 | AMZN | Amazon.com Inc | 4.36% | $4.53B |
| 6 | AMD | Advanced Micro Devices Inc | 3.64% | $3.79B |
| 7 | GOOGL | Alphabet Inc | 3.11% | $3.24B |
| 8 | META | Meta Platforms Inc | 3.07% | $3.19B |
| 9 | TSLA | Tesla Inc | 2.92% | $3.04B |
| 10 | GOOG | Alphabet Inc | 2.90% | $3.01B |
| 11 | AVGO | Broadcom Inc | 2.75% | $2.86B |
| 12 | WMT | Walmart Inc | 2.29% | $2.38B |
| 13 | INTC | Intel Corp | 2.24% | $2.33B |
| 14 | CSCO | Cisco Systems Inc | 1.88% | $1.95B |
| 15 | COST | Costco Wholesale Corp | 1.78% | $1.85B |
| 16 | PLTR | Palantir Technologies Inc | 1.69% | $1.76B |
| 17 | LRCX | Lam Research Corp | 1.65% | $1.72B |
| 18 | AMAT | Applied Materials Inc | 1.60% | $1.66B |
| 19 | NFLX | Netflix Inc | 1.42% | $1.48B |
| 20 | SPCX | Space Exploration Technologies Corp | 1.26% | $1.31B |
| 21 | PANW | Palo Alto Networks Inc | 1.23% | $1.27B |
| 22 | SNDK | Sandisk Corp | 1.11% | $1.16B |
| 23 | TXN | Texas Instruments Inc | 1.04% | $1.09B |
| 24 | KLAC | KLA Corp | 1.03% | $1.07B |
| 25 | LIN | Linde PLC | 0.95% | $984.66M |
QQQM Expense Ratio
QQQM charges 0.15% a year, about $15.00 for every $10,000 invested.
| Invested | Cost a year |
|---|---|
| $10,000 | $15.00 |
| $25,000 | $37.50 |
| $100,000 | $150.00 |
The fee is taken from the fund's assets rather than billed, so it shows up as slightly lower returns.
| Fund | Expense ratio | Per $10,000 | Comparison |
|---|---|---|---|
| QQQM | 0.15% | $15.00 | |
| QQQ | 0.18% | $18.00 | QQQM vs QQQ |
| VOO | 0.03% | $3.00 | QQQM vs VOO |
| VTI | 0.03% | $3.00 | QQQM vs VTI |
ETF Analytics Snapshot
Current ETF evidence uses fund profile, cost, size, distribution, momentum, and risk fields.
ETF pages use fund-native profile fields for cost, size, liquidity, holdings breadth, NAV, issuer, and launch date.
ETF Fundamentals Overview
Fund-native evidence replaces stock-only quarterly statement fields for ETF pages.
Fund profile
| Field | Value |
|---|---|
| Fund name | Invesco NASDAQ 100 ETF |
| Issuer | Invesco |
| Asset class | Equity |
| Primary exposure | Technology (58.84%) |
| Domicile | US |
| Inception date | Oct 13, 2020 |
| Website | https://www.invesco.com/content/invesco/us/en/financial-products/etfs/invesco-nasdaq-100-etf.html |
Current ETF metrics
| Field | Value |
|---|---|
| Fund size | $80.59B |
| Expense ratio | 0.15% |
| Holdings count | 109 |
| NAV | $295.36 |
| Average volume | 3.09M |
| Distribution yield | 0.44% |
| Beta | 1.23 |
ETF Exposure
Sector and country weights of the fund's holdings.
| Field | Value |
|---|---|
| Cash & Others | 0.01% |
| Healthcare | 4.36% |
| Basic Materials | 0.97% |
| Consumer Cyclical | 10.16% |
| Energy | 0.46% |
| Consumer Defensive | 6.15% |
| Utilities | 1.09% |
| Industrials | 5.51% |
| Field | Value |
|---|---|
| Netherlands | 1.25% |
| United Kingdom | 1.65% |
| Canada | 1.07% |
| United States | 94.73% |
| Uruguay | 0.41% |
| Singapore | 0.63% |
| Ireland | 0.24% |
| Other | 0.02% |
ETF Risk-Adjusted Context
Risk and return-efficiency metrics sit beside fund structure rather than company financial statements.
Composite research read.
Return per unit of total volatility.
Return per unit of downside volatility.
Largest trailing drawdown in the risk window.
Trend and price behavior.
Relative valuation/exposure context.
Volatility and downside resilience.
Annualized realized volatility.
Read cost, fund size, liquidity, holdings breadth, NAV, distribution yield, and exposure together. ETF analytics should not be judged by company-only fields such as revenue, EPS, margins, or payout ratio when those rows are not applicable.
Analysis tools
Export and portfolio tools complement the ETF evidence above.
Current evidence CSV · Pro workflow
Holding, weight, concentration · Personalized to holdings
Related Links
How to Read a Fundamental Profile
Fundamental analysis is the discipline of estimating what a business is worth by examining the financial evidence it produces: how much it earns, how efficiently it converts revenue to cash, how much capital it uses to produce those earnings, and whether the current price compensates an investor for the risks of holding it. The metrics on this page are organized into six evidence buckets -- valuation, profitability, leverage, growth, efficiency, and company size -- because each bucket answers a different question. Valuation multiples answer whether the market price is cheap or expensive relative to underlying earnings power. Profitability answers whether the business model is inherently strong or thin. Leverage answers whether the balance sheet is durable under stress. No single ratio tells a complete story; the analysis is about how the full set hangs together.
The single most diagnostic question in fundamental analysis is whether a business generates returns on invested capital above its cost of capital. A business that earns 20% ROIC while its cost of capital is 9% is compounding value for shareholders at an 11-point spread -- and the market will typically pay a meaningful premium to book value for that privilege. A business that earns 8% ROIC against a 10% cost of capital is destroying economic value even if reported earnings are growing, because growth at below-cost returns dilutes per-share value rather than building it. This is why ROIC and gross margin -- which measures the inherent advantage in the product before overhead -- are the highest-signal fundamental metrics for evaluating business quality at the model level.
Valuation multiples (P/E, EV/EBITDA, P/S, P/FCF) measure what the market currently demands per unit of earnings, sales, or cash flow. They are not independently actionable: a low P/E can indicate value or distress, and a high P/E can indicate genuine quality or speculative excess. The interpretive work is contextual -- comparing a multiple to sector peers, to the company's own history, and to the underlying growth rate. The PEG ratio (P/E divided by earnings growth rate) is a simple first-order adjustment; EV/EBITDA is more reliable for cross-capital-structure comparisons because it normalizes for debt. FCF yield (FCF / market cap) is the cleanest single valuation signal for mature businesses because it is harder to manipulate than GAAP earnings.
Growth metrics deserve careful handling. Revenue growth that outpaces earnings growth signals margin compression -- revenue expansion without profitability improvement. EPS growth that outpaces revenue growth often reflects share buybacks rather than operational leverage, which is worth distinguishing. The highest-quality growth signature is expanding ROIC alongside revenue growth: the business is finding new markets without sacrificing the economics that made the existing business attractive. Declining ROIC with accelerating revenue growth is the opposite -- scale without economics, often the precursor to a valuation reset.
How to Read This Table
- Valuation multiples (P/E, EV/EBITDA): Compare within sector and against the company's own 5-year history before concluding cheap or expensive.
- ROIC vs WACC spread: The most important single quality signal. Sustained ROIC above cost of capital is the foundation of durable long-term returns.
- Gross margin: Measures inherent product economics before overhead. Declining gross margin at scale is an early warning sign.
- Debt-to-Equity and Interest Coverage: Frame balance sheet durability. Interest coverage below 3x reduces resilience in stress.
- FCF yield: Divide trailing free cash flow by market cap. Yields above 4-5% are generally constructive; negative FCF yield requires a clear path to conversion.
- Revenue growth vs. EPS growth: The gap between them tells you whether scale is creating or consuming margin.
These are analytical tools, not investment recommendations. Historical patterns do not guarantee future results.
QQQM Holdings FAQ
What are QQQM's top holdings?
QQQM's largest positions are NVDA (8.5%), AAPL (7.7%), MSFT (5.9%), MU (4.9%), AMZN (4.4%). The ten largest make up 47.0% of the fund.
How many stocks does QQQM hold?
QQQM holds 109 positions, the companies of the Nasdaq-100 index.
Does QQQM hold the same stocks as QQQ?
Yes. QQQM and QQQ track the same Nasdaq-100 index, so their holdings and weights match. They differ in cost and trading volume: QQQM's expense ratio is 0.15%.