Cambria Large Cap Shareholder Yield ETF
Key Statistics
Historical Performance
Total return including reinvested distributions, from adjusted closing prices.
Price History
Price history is being compiled for this fund.
Top Holdings
Top 25 holdings as of Jan 31, 2026 · source: SEC N-PORT. Full holdings & prospectus →
About LYLD
TheFund is actively managed using a model-based approach and seeks to achieve its investment objective by investing,under normal market conditions, at least 80% of its net assets, plus borrowings for investment purposes, in equity securities, includingcommon stock, issued by U.S.-based large capitalization publicly listed companies that provide high “shareholderyield.” The Fund’sinvestment adviser, Cambria Investment Management, L.P. (“Cambria” or the “Adviser”), defines large capitalizationcompanies as companies having a market capitalization of at least $10 billion. Cambria defines “shareholder yield”as the totality of returns realized by an investor from a company’s cash payments for dividends, buybacks and debt paydowns. Forpurposes of this strategy, Cambria’s quantitative algorithm calculates a company’s shareholder yield by considering thefollowing characteristics: (i) dividend payments to shareholders, (ii) return of capital in the form of share buybacks (i.e.,a company’s repurchase of its own shares from the marketplace, which, in turn, reduces the number of outstanding shares for continuingshareholders or generates proceeds for existing shareholders), and (iii) paydown of a company’s debt (i.e.,reducing a company’s outstanding debt). Cambria believes that, while any one of these measures of a company’s cash flows,in isolation, is inadequate to determine the attractiveness of its equity securities, considered together these measures have the potentialto result in the construction of a portfolio of companies with higher potential for income and capital appreciation.Noless frequently than on a quarterly basis, utilizing its own quantitative model, Cambria selects the top 20% of stocks in the initialuniverse of U.S.-based, large capitalization, publicly listed companies based on their shareholder yield,as measured by dividend payments and net share buybacks. Cambria considers an issuer to be U.S.-based ifit is domiciled, incorporated, or has substantial business activity in the United States and the primary equity security of suchissuer is listed on a major U.S. stock exchange.Cambria’squantitative algorithm then factors in the remaining stocks’ debt paydowns and applies a number of value metrics to create a composite,including metrics such as, but not limited to, price-to-book (P/B) ratio, price-to-sales(P/S) ratio, price-to-earnings (P/E) ratio, price-to-free cash-flow(P/FCF or P/CF) ratio, and enterprise multiple (EV/EBITDA). The quantitative model then selects between 50 and 100 stocks for inclusionin the Fund’s portfolio that exhibit, in the aggregate, the best combination of shareholder yield characteristics and value metrics.The number of holdings in the Fund will be based on a number of factors, including the asset size of the Fund and the number of companiesthat satisfy Cambria’s quantitative measurements at any one time.AlthoughCambria seeks to weight these stocks equally in the Fund’s portfolio, security weights may fluctuate in response to market conditionsand investment opportunities that develop between the model’s quarterly calculations.Asof August 1, 2025, the Fund had significant investment exposure to companies in the financials sector; however, the Fund’ssector exposure may change from time to time.Althoughthe Fund employs a model-based investment approach based on Cambria’s proprietary, quantitative algorithm,the Fund may sell a security when Cambria believes that the security is overvalued or better investment opportunities are available, toinvest in cash and cash equivalents, or to meet redemptions. Cambria expects to adjust the Fund’s holdings at least quarterly tomeet the investment criteria and target allocations (e.g., securityweights) established by the Fund’s quantitative algorithm, but Cambria may adjust the Fund’s holdings more frequently inresponse to market events that develop between the model’s quarterly calculations.
LYLD News
Data for LYLD is aggregated from third-party providers (Tiingo, Nasdaq, Finnhub) and SEC filings, may be delayed at least 20 minutes, and may be incomplete or contain errors. Nothing here is investment advice. Verify with the official prospectus before investing.