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ABFL

ยทCBOE
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Key Stats
Assets Under Management
752.02MUSD
Fund Flows (1Y)
103.21MUSD
Dividend Yield
0.62%
Discount/Premium to NAV
0.03%
Shares Outstanding
10.60M
Expense Ratio
0.49%
About Abacus FCF Leaders ETF
Issuer
Abacus FCF Advisors LLC
Brand
Abacus
Inception Date
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Structure
Open-Ended Fund
Index Tracked
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Management Style
Active
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
Abacus FCF Advisors LLC
Distributor
Quasar Distributors LLC
ABFL aims to best the Russell 3000 through a fundamentals-driven investment process that selects about 150 stocks based on free cash flow strength. The portfolio holdings are then weighted by a modified market capitalization, log transformation, which allows for increased exposure to companies with the strongest proprietary free cash flow rankings. After that, the portfolio will be rated with an ESG score, excluding companies with low ESG ratings. In addition, firms with an extreme rise in shares count and increase in leverage are excluded. From Feb. 28, 2021-May 29, 2020, the fund selects and weights stocks using: free cash flow profitability and growth, shrinking leverage and decreasing shares outstanding. Emphasizing on free cash flow profitability and growth. Prior to May 29, 2020, the fund's methodology emphasizes share buyback trends. Also, prior to Nov. 29, 2021, the fund was named TrimTabs U.S. Free Cash Flow Quality ETF.
Classification
Asset Class
Equity
Category
Size and Style
Focus
Total Market
Niche
Broad-based
Strategy
Active
Geography
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Weighting Scheme
Proprietary
Selection Criteria
Proprietary
Returns
1-Month
3-Month
YTD
1-Year
3-Year
5-Year
Price Performance
+0.33%-3.04%+6.27%+2.55%+49.20%+55.11%
NAV Total Return
+0.31%+0.11%+9.51%+4.49%+52.78%+83.72%
Ratings

No data is currently available

Ainvestโ€™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 investorsโ€”transforming complexity into clarity with every score.
Holdings Analysis

Sector

Technology

38.73%

Healthcare

15.82%

Consumer Cyclical

14.30%

Industrials

11.52%

Communication Services

5.96%

Financial Services

5.42%

Consumer Defensive

4.64%

Basic Materials

1.90%

Energy

1.70%

Asset

Region

100%

Category

Ratio

North America

100.00%

Investment Style

No data is currently available

Top 10 Holdings

Symbol

Ratio

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AAPL

Apple
4.83%
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NVDA

Nvidia
4.55%
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MA

Mastercard
3.02%
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ABBV

Abbvie
3.00%
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APP

Applovin
2.79%
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BMY

Bristol-Myers Squibb
2.71%
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AMGN

Amgen
2.65%
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TPR

Tapestry
2.51%
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CL

Colgate-Palmolive
2.35%
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AVGO

Broadcom
2.30%

Top 10 Weight 30.71%

63 Total Holdings

Dividends

Dividend Payout History

Declaration Date
Record Date
Payment Date
Amount
2025-09-292025-09-292025-09-300.080
2025-06-272025-06-272025-06-300.118
2025-03-282025-03-282025-03-310.157
2024-12-302024-12-302024-12-310.083
2024-06-102024-06-102024-06-110.110
2024-03-052024-03-062024-03-070.086
2023-12-142023-12-152023-12-180.110

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Premium/Discount Chart
Premium/Discount to NAV
Price
Assets Under Management
Assets Under Management
Fund Flows
Inflows
Outflows