# Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF (PSAI): ETF Facts & Distributions > Markdown mirror of https://www.dividenddata.com/funds/psai for AI agents. Same live data as the HTML page, regenerated on the same refresh cycle. Not investment advice. - Issuer: Pacer · Asset class: Equity - Strategy: Passive Index · Inception: 2026-05-07 PSAI aims to provide investors with diversified US equity exposure using an AI-driven investment strategy. The fund tracks an index of 100 stocks screened from the initial universe, the S&P 500 Index. These stocks were identified to have the highest forecasted 12-month alpha potential using 3AIs Alpha Intelligence Scores, determined through proprietary forecasting models that applies machine learning to analyze financial, market, and macroeconomic data. Winsorized z-scores are calculated for each eligible security using the intelligence score and then ranked to identify the top 100 companie... ## Key Facts | Metric | Value | |---|---| | Price | $29.18 | | Expense Ratio | 0.49% | | Assets Under Management | $2.3M | | NAV | $29.31 | | Holdings Count | 102 | | Distribution Yield (TTM) | 0.08% | | Annual Distribution (TTM) | $0.02 /share | | Distribution Frequency | Quarterly | | 52-Week Range | $25.26 – $29.29 | | Beta | 0.88 | ## Latest Distribution - Amount: $0.0232 /share - Ex-date: 2026-09-03 - Pay date: 2026-09-08 ## Frequently Asked Questions ### What does PSAI invest in? PSAI aims to provide investors with diversified US equity exposure using an AI-driven investment strategy. The fund tracks an index of 100 stocks screened from the initial universe, the S&P 500 Index. These stocks were identified to have the highest forecasted 12-month alpha potential using 3AIs Alpha Intelligence Scores, determined through proprietary forecasting models that applies machine learning to analyze financial, market, and macroeconomic data. Winsorized z-scores are calculated for each eligible security using the intelligence score and then ranked to identify the top 100 companies for inclusion. Constituents are also weighted based on their z-scores and are capped at 4.5% per stock, and 40% per GICS sector. The fund employs a replication strategy and is reconstituted and rebalanced quarterly. ### What is the expense ratio of PSAI? Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF (PSAI) charges an expense ratio of 0.49%. This is the annual fee deducted from fund assets to cover management and operations. ### How big is PSAI? Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF (PSAI) manages $2.3M 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 PSAI actively managed or an index fund? PSAI 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 (PSAI's is 0.49%) because there's no security selection cost. ### When was PSAI launched? Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF (PSAI) launched in May 2026 and is managed by Pacer. ### How has PSAI performed? PSAI'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 PSAI pay a dividend? Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF (PSAI) currently distributes little or no income. Trailing-twelve-month yield is 0.08%. Investors looking for income should consider income-focused alternatives. See the Peers tab. ### How often does PSAI pay dividends? Pacer Funds Trust - Pacer S&P 500 3AI Top 100 ETF pays dividends Quarterly. Each ex-dividend date, record date, and payment date is listed in the dividend history table on this page. ### What is PSAI's dividend yield? PSAI's trailing-twelve-month yield is 0.08%, calculated from the sum of dividends over the past year divided by the current price. ### When is PSAI's next ex-dividend date? The most recently announced ex-dividend date for PSAI was 2026-09-03. The next ex-date typically follows Quarterly; once announced it appears at the top of the dividend history table on this page. ### How much will PSAI's expense ratio cost me over 30 years? On a $10,000 investment compounding at 7% gross return, a 0.49% 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 PSAI charge its expense ratio? The expense ratio is deducted in tiny daily slices from PSAI'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 PSAI cost more than a fund like VOO? PSAI is a passive index fund (current expense ratio 0.49%). 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 PSAI? The Lower-Fee Alternatives card above lists ETFs following the same investment strategy as PSAI (0.49%) 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/psai - Distribution history: https://www.dividenddata.com/funds/psai/dividend - Holdings & diversification: https://www.dividenddata.com/funds/psai/diversification - Fees & cheaper alternatives: https://www.dividenddata.com/funds/psai/expenses - Peer comparison: https://www.dividenddata.com/funds/psai/peers Data sourced from primary filings and market data providers; see https://www.dividenddata.com/methodology.