OMFL Invesco Russell 1000 Dynamic Multifactor ETF
Quote as of Oct 09, 2026 20:00 UTC · Market data delayed approximately 15–20 minutes unless otherwise indicated.
| Previous Close | 71.03 | Day Range | 71.12 – 71.55 |
| 52-Week Range | 57.12 – 71.54 | Volume | 194.30K |
| Avg Volume | 142.57K | AUM | $4.76B (Oct 10, 2026) |
| Expense Ratio | 0.29% | Yield (TTM) | 0.82% |
| NAV | 71.00 | Premium/Discount | +0.66% indicative |
| Inception | Nov 08, 2017 | Holdings | 633 |
| Issuer | Invesco | Exchange | CBOE |
| Category | — | Index Tracked | Russell 1000 |
| CUSIP | 46138J619 | ISIN | US46138J6192 |
| Management | Passive / index-tracking (per issuer description) | ||
About this ETF
The Invesco Russell 1000 Dynamic Multifactor ETF (OMFL) aims to track the performance of the Russell 1000 Invesco Dynamic Multifactor Index. This exchange-traded fund allocates a minimum of 80% of its total assets to the securities that make up its benchmark index. The Index employs a systematic methodology to adjust the weighting of large-capitalization companies found within the broader Russell 1000 Index. These adjustments are driven by prevailing economic conditions and market cycles, specifically identifying phases of expansion, slowdown, contraction, or recovery. Individual securities receive a composite multi-factor score, based on an assessment across five distinct investment characteristics: value, momentum, quality, low volatility, and size. Both the Fund and its underlying Index are subject to periodic reconstitution and rebalancing, which can occur as frequently as once a month, in response to shifts in economic indicator signals. Please note, this information is for illustrative purposes only and does not constitute a recommendation regarding the appropriateness of any investment strategy for a particular investor. Factor investing, which involves selecting securities based on specific attributes that may influence returns, carries inherent risks; it may underperform traditional market-capitalization-weighted benchmarks and could lead to increased portfolio volatility.
Description from the fund data provider · profile as of Oct 10, 2026.
Price Chart
Daily closing prices (price return, not total return). Comparison lines are normalized to percent change from the range start. Source: Financial Modeling Prep.
Performance
| 1M | 3M | 6M | YTD | 1Y | 3Y* | 5Y* | 10Y* | Incep.* | |
|---|---|---|---|---|---|---|---|---|---|
| Price return | +2.94% | +3.33% | +13.86% | +16.91% | +18.58% | +15.71% | +8.56% | — | +12.53% |
| Total return | +2.94% | +3.33% | +14.11% | +17.45% | +19.44% | +16.80% | +9.82% | — | +14.03% |
* Annualized. Total return uses the dividend-adjusted price series (distributions reinvested); price return uses unadjusted closes. Performance through Oct 09, 2026. Past performance does not guarantee future results.
Fees
| Net expense ratio | 0.29% | Annual cost of a $10,000 investment | $29.00 |
Illustrative calculation only: expense ratio × $10,000. It excludes trading costs, bid/ask spreads, taxes and changes in investment value. Gross vs. net expense details and any fee waivers are in the prospectus.
Holdings
Holdings as of Oct 10, 2026 · portfolio reporting date from the data provider; holdings are not live positions. 637 rows in database.
| # | Holding | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|---|
| 1 | Apple Inc | AAPL | 8.94% | 1.27M | $428.1M |
| 2 | Microsoft Corp | MSFT | 6.71% | 600.77K | $321.5M |
| 3 | NVIDIA Corp | NVDA | 5.34% | 1.12M | $256.0M |
| 4 | Visa Inc | V | 3.00% | 373.25K | $143.9M |
| 5 | Alphabet Inc | GOOGL | 3.00% | 408.84K | $143.8M |
| 6 | Alphabet Inc | GOOG | 2.43% | 333.98K | $116.2M |
| 7 | Mastercard Inc | MA | 2.27% | 184.76K | $108.8M |
| 8 | Amazon.com Inc | AMZN | 1.93% | 352.66K | $92.5M |
| 9 | Eli Lilly & Co | LLY | 1.93% | 78.35K | $92.4M |
| 10 | Cisco Systems Inc | CSCO | 1.67% | 674.09K | $79.8M |
| 11 | Johnson & Johnson | JNJ | 1.43% | 261.99K | $68.5M |
| 12 | Lam Research Corp | LRCX | 1.42% | 212.80K | $67.8M |
| 13 | Costco Wholesale Corp | COST | 1.41% | 71.29K | $67.5M |
| 14 | Meta Platforms Inc | META | 1.36% | 90.86K | $65.3M |
| 15 | ExxonMobil Holdings Corp | XOM | 1.28% | 361.96K | $61.2M |
| 16 | Micron Technology Inc | MU | 1.02% | 47.60K | $49.0M |
| 17 | Applied Materials Inc | AMAT | 0.96% | 90.32K | $45.8M |
| 18 | Procter & Gamble Co/The | PG | 0.95% | 299.76K | $45.3M |
| 19 | KLA Corp | KLAC | 0.93% | 228.15K | $44.6M |
| 20 | Broadcom Inc | AVGO | 0.82% | 109.02K | $39.4M |
| 21 | Berkshire Hathaway Inc | BRK-B | 0.82% | 76.12K | $39.3M |
| 22 | AbbVie Inc | ABBV | 0.77% | 133.88K | $37.0M |
| 23 | GE Vernova Inc | GEV | 0.77% | 36.82K | $37.0M |
| 24 | Intuitive Surgical Inc | ISRG | 0.75% | 84.28K | $35.7M |
| 25 | Walmart Inc | WMT | 0.74% | 317.89K | $35.4M |
Click a ticker to see every ETF that owns it.
Sector Exposure
Geographic Exposure
Country weights as reported by the data provider. Developed/emerging/frontier labels follow the classification on the Methodology page. Currency hedged: No hedging indicated in the fund name.
Distributions
| Yield (TTM) | 0.82% | Paid (last 12 months) | $0.5861 |
| Frequency | Quarterly | SEC yield | Not provided by our data source; see the issuer page |
| Last ex-date | Sep 21, 2026 | Last payment | $0.1360 (Sep 25, 2026) |
| Growth 1Y | +43.59% | Growth 3Y / 5Y (ann.) | -9.32% / +0.24% |
| Ex-date | Record | Pay date | Amount |
|---|---|---|---|
| Sep 21, 2026 | Sep 21, 2026 | Sep 25, 2026 | $0.1360 |
| Jun 22, 2026 | Jun 22, 2026 | Jun 26, 2026 | $0.1482 |
| Mar 23, 2026 | Mar 23, 2026 | Mar 27, 2026 | $0.1460 |
| Dec 22, 2025 | Dec 22, 2025 | Dec 26, 2025 | $0.1559 |
| Sep 22, 2025 | Sep 22, 2025 | Sep 26, 2025 | $0.1082 |
| Jun 23, 2025 | Jun 23, 2025 | Jun 27, 2025 | $0.1065 |
| Mar 24, 2025 | Mar 24, 2025 | Mar 28, 2025 | $0.1166 |
| Dec 23, 2024 | Dec 23, 2024 | Dec 27, 2024 | $0.0768 |
| Sep 23, 2024 | Sep 23, 2024 | Sep 27, 2024 | $0.1083 |
| Jun 24, 2024 | Jun 24, 2024 | Jun 28, 2024 | $0.2324 |
| Mar 18, 2024 | Mar 19, 2024 | Mar 22, 2024 | $0.2461 |
| Dec 18, 2023 | Dec 19, 2023 | Dec 22, 2023 | $0.1179 |
Trailing distribution yield = last 12 months of cash ÷ current price. It is NOT the SEC 30-day yield and distributions are not guaranteed to continue. The difference explained →
Risk Statistics
| Volatility 1Y / 3Y | 12.54% / 14.69% | Sharpe 1Y / 3Y | 1.51 / 0.951 |
| Max drawdown 1Y / 3Y | -7.57% / -15.52% | Sortino 1Y | 2.25 |
| Beta vs S&P 500 (3Y) | 0.875 | Correlation vs S&P 500 (1Y) | 0.936 |
| Downside deviation 1Y | 8.42% | Risk-free rate used | 4.05% (3M T-bill, FRED) |
Computed by ETF Explorer from daily dividend-adjusted closes; volatility and drawdown are annualized/period figures; S&P 500 exposure proxied by SPY. As of Oct 11, 2026. Formulas →
Liquidity
| Volume today | 194.30K | Average volume | 142.57K |
| AUM | $4.76B | Premium/Discount | +0.66% |
| Bid/Ask spread | Not provided by our data source. Check your broker's quote screen; spreads are widest at the open and close. | ||
Premium/discount compares the delayed market price with the last reported NAV: an indicative figure, not the official closing premium/discount. How ETF liquidity works →
Fund Flows (estimated)
| Period | Est. net flow | % of starting AUM | AUM start → end |
|---|---|---|---|
| 1 Day | -$2.1M | -0.04% | $4.76B → $4.76B |
| 1 Month | -$68.8M | -1.46% | $4.71B → $4.76B |
| 1 Week | -$30.8M | -0.65% | $4.71B → $4.76B |
ETF Explorer estimate: change in reported AUM minus the market-move effect, from our own daily snapshots. Not official issuer creation/redemption data.
Official Fund Resources
External links open the issuer's site or SEC EDGAR in a new tab. The prospectus and official documents are always the authoritative source; review them before investing.
Latest News for OMFL
No articles mention this fund directly in the last 7 days; showing general ETF coverage.
Guided help: AUM is fund size. The expense ratio is the yearly cost baked into returns. NAV is the value of what the fund owns per share; the market price can sit slightly above (premium) or below (discount) it. Total return assumes distributions were reinvested. Every dataset shows its own as-of date because holdings, assets and quotes update on different schedules.