# Franklin Intelligent Machines ETF (IQM): ETF Facts & Distributions > Markdown mirror of https://www.dividenddata.com/funds/iqm for AI agents. Same live data as the HTML page, regenerated on the same refresh cycle. Not investment advice. - Issuer: Franklin Templeton · Asset class: Equity - Strategy: Passive Index · Inception: 2020-02-25 Franklin Templeton ETF Trust - Franklin Intelligent Machines ETF is an exchange traded fund launched by Franklin Resources, Inc. The fund is managed by Franklin Advisers, Inc. It invests in public equity markets of global region. The fund invests in stocks of companies operating across information technology, software and services, software, systems software, automation products and services, software research, artificial intelligence software sectors. It invests in growth and value stocks of companies across diversified market capitalization. It invests in stocks of companies that are deem... ## Key Facts | Metric | Value | |---|---| | Price | $92.68 | | Expense Ratio | 0.50% | | Assets Under Management | $74.1M | | NAV | $92.65 | | Holdings Count | 63 | | Distribution Yield (TTM) | — | | Annual Distribution (TTM) | — /share | | Distribution Frequency | Annual | | 52-Week Range | $79.59 – $126.21 | | Beta | 1.65 | ## Latest Distribution - Amount: $0.0940 /share - Ex-date: 2021-12-13 - Pay date: 2021-12-21 ## Frequently Asked Questions ### What does IQM invest in? Franklin Templeton ETF Trust - Franklin Intelligent Machines ETF is an exchange traded fund launched by Franklin Resources, Inc. The fund is managed by Franklin Advisers, Inc. It invests in public equity markets of global region. The fund invests in stocks of companies operating across information technology, software and services, software, systems software, automation products and services, software research, artificial intelligence software sectors. It invests in growth and value stocks of companies across diversified market capitalization. It invests in stocks of companies that are deemed socially conscious in their business dealings and directly promote environmental responsibility. The fund employs fundamental analysis with bottom-up stock picking approach to create its portfolio. It employs internal and external research to create its portfolio. The fund seeks to benchmark the performance of its portfolio against the Russell 3000 Index. Franklin Templeton ETF Trust - Franklin Intelligent Machines ETF was formed on February 25, 2020 and is domiciled in the United States. ### What is the expense ratio of IQM? Franklin Intelligent Machines ETF (IQM) charges an expense ratio of 0.50%. This is the annual fee deducted from fund assets to cover management and operations. ### How big is IQM? Franklin Intelligent Machines ETF (IQM) manages $74.1M in total assets. AUM determines bid-ask liquidity and the fund's vulnerability to closure. Funds below ~$50M are at higher risk of liquidation. ### Is IQM actively managed or an index fund? IQM is a passive index fund. It tracks a published benchmark by holding the constituents in their published weights. Index funds typically charge low expense ratios (IQM's is 0.50%) because there's no security selection cost. ### When was IQM launched? Franklin Intelligent Machines ETF (IQM) launched in February 2020 and is managed by Franklin Templeton. ### How has IQM performed? IQM's total return (price change plus reinvested distributions) is charted at the top of this page. Switch the price chart to Total Return and pick a 1-year, 3-year, 5-year, or 10-year window to read the compound annual growth rate (CAGR) over each horizon. ### Does IQM pay a dividend? Franklin Intelligent Machines ETF (IQM) currently distributes little or no income. Trailing-twelve-month yield is —. Investors looking for income should consider income-focused alternatives. See the Peers tab. ### How often does IQM pay dividends? Franklin Intelligent Machines ETF pays dividends Annual. Each ex-dividend date, record date, and payment date is listed in the dividend history table on this page. ### What is IQM's dividend yield? IQM's trailing-twelve-month yield is —, calculated from the sum of dividends over the past year divided by the current price. ### When is IQM's next ex-dividend date? The most recently announced ex-dividend date for IQM was 2021-12-13. The next ex-date typically follows Annual; once announced it appears at the top of the dividend history table on this page. ### How much will IQM's expense ratio cost me over 30 years? On a $10,000 investment compounding at 7% gross return, a 0.50% expense ratio quietly compounds against your balance every year. The Fee Compounding Forecast card above projects the dollar drag for any holding period and assumption you pick. The typical result for a 1.0% expense ratio on a 30-year hold is roughly 25% of the final balance lost to fees. ### How does IQM charge its expense ratio? The expense ratio is deducted in tiny daily slices from IQM's net asset value (NAV). You never see a bill. The price quoted on every exchange is already net of fees. There's no "fee day" to avoid; the cost is continuous and built into the trading price. ### Why does IQM cost more than a fund like VOO? IQM is a passive index fund (current expense ratio 0.50%). Differences from broad-market ETFs like VOO usually come from index licensing fees, asset class (bond funds typically run cheaper than equity), or fund scale (smaller funds spread fixed operating costs across less AUM). ### Are there cheaper alternatives to IQM? The Lower-Fee Alternatives card above lists ETFs following the same investment strategy as IQM (0.50%) but at a lower expense ratio. Each row shows the fee gap, the peer's AUM as a liquidity sanity-check, and a direct link to that fund's analysis page. Cheaper price doesn't automatically mean better. Verify the peer holds what you actually want. ## More on Dividend Data - Overview (HTML): https://www.dividenddata.com/funds/iqm - Distribution history: https://www.dividenddata.com/funds/iqm/dividend - Holdings & diversification: https://www.dividenddata.com/funds/iqm/diversification - Fees & cheaper alternatives: https://www.dividenddata.com/funds/iqm/expenses - Peer comparison: https://www.dividenddata.com/funds/iqm/peers Data sourced from primary filings and market data providers; see https://www.dividenddata.com/methodology.