QVML
Invesco S&P 500 QVM Multi-Factor ETF·NYSE
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Key Stats
Assets Under Management
1.48BUSD
Fund Flows (1Y)
88.20MUSD
Dividend Yield
1.08%
Discount/Premium to NAV
0.02%
Shares Outstanding
37.05M
Expense Ratio
0.11%
About Invesco S&P 500 QVM Multi-Factor ETF
Issuer
Invesco Capital Management LLC
Brand
Invesco
Inception Date
Jun 30, 2021
Structure
Open-Ended Fund
Index Tracked
S&P 500 Quality, Value & Momentum Top 90% Multi-factor Index
Management Style
Passive
Dividend Treatment
Distributes
Distribution Tax Treatment
Qualified dividends
Income Tax Type
Capital Gains
Max ST Capital Gains Rate
39.60%
Max LT Capital Gains Rate
20.00%
Primary Advisor
Invesco Capital Management LLC
Distributor
Invesco Distributors, Inc.
QVML uses a multi-factor approach to screen out stocks with the weakest quality, value, and momentum characteristics from the S&P 500—a broad US index comprising the largest 500 stocks. Each security in the parent index is assigned a multi-factor score by taking the average of quality (based on ROE, accruals and financial leverage), value (based on P/B, P/E and P/S), and momentum scores. Securities are ranked accordingly, and the bottom 10% or about 50 stocks are taken out of the index. Holdings are weighted by market-cap and rebalanced on a quarterly basis.
Classification
Asset Class
Equity
Category
Size and Style
Focus
Large Cap
Niche
Broad-based
Strategy
Multi-factor
Geography
U.S.
Weighting Scheme
Market Cap
Selection Criteria
Multi-factor
Returns
1-Month | 3-Month | YTD | 1-Year | 3-Year | 5-Year | |
|---|---|---|---|---|---|---|
Price Performance | -0.03% | +1.92% | +1.07% | +13.21% | +65.36% | +62.65% |
NAV Total Return | -1.94% | +1.55% | -0.75% | +12.54% | +68.92% | +0.48% |
Ratings
No data is currently available
Ainvest’s AI-powered ETF Scoring Algorithm, built to help retail investors make smarter, data-driven decisions. Leveraging deep learning, reinforcement learning, and large language models, the algorithm scores ETFs across five key dimensions: Fund Flow, Momentum, Safety, Fundamentals, and Performance. Each factor is weighted by its correlation to future returns, resulting in a single, actionable score. Backtested over five years with consistently strong predictive accuracy. Ainvest brings institutional-grade artificial intelligence to everyday investors—transforming complexity into clarity with every score.
Holdings Analysis
Sector
Technology
34.02%
Financial Services
13.44%
Communication Services
11.33%
Healthcare
9.35%
Consumer Cyclical
9.21%
Industrials
7.68%
Consumer Defensive
5.69%
Energy
3.44%
Utilities
2.56%
Technology
34.02%
Financial Services
13.44%
Communication Services
11.33%
Healthcare
9.35%
Consumer Cyclical
9.21%
Industrials
7.68%
Consumer Defensive
5.69%
Energy
3.44%
Utilities
2.56%
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Asset
Region
99.45%
0.55%
Category
Ratio
North America
99.45%
Europe
0.55%
Investment Style
No data is currently available
Top 10 Holdings
Symbol
Ratio
NVDA
Nvidia
7.77%
AAPL
Apple
7.14%
GOOG
Alphabet C
6.04%
MSFT
Microsoft
5.76%
AMZN
Amazon.com
4.22%
META
Meta
2.72%
AVGO
Broadcom
2.70%
TSLA
Tesla
2.01%
BRK.B
Berkshire Hathaway B
1.67%
LLY
Eli Lilly
1.60%
Top 10 Weight 41.63%
451 Total Holdings
Is SPY better than QVML?
Dividends
Dividend Payout History
Declaration Date | Record Date | Payment Date | Amount |
|---|---|---|---|
| 2025-09-22 | 2025-09-22 | 2025-09-26 | 0.110 |
| 2025-06-23 | 2025-06-23 | 2025-06-27 | 0.104 |
| 2025-03-24 | 2025-03-24 | 2025-03-28 | 0.114 |
| 2024-12-23 | 2024-12-23 | 2024-12-27 | 0.106 |
| 2024-09-23 | 2024-09-23 | 2024-09-27 | 0.103 |
| 2024-06-24 | 2024-06-24 | 2024-06-28 | 0.091 |
| 2024-03-18 | 2024-03-19 | 2024-03-22 | 0.097 |
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How Much Does QVML Pay in Dividends?
Premium/Discount Chart
Assets Under Management
Should I buy QVML?
Fund Flows
