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Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.

ETFIQetfiq.com · independent ETF data

DYNF vs XLF: how they differ

DYNF and XLF hold 14% of their weight in the same names, and DYNF returned more over the year.

iShares U.S. Equity Factor Rotation Active ETF and State Street(R) Financial Select Sector SPDR(R) ETF.

What they hold in common

By the books each fund has filed, DYNF and XLF hold 14% of their money in the same securities at the same weight.

Positions DYNF and XLF both hold, largest shared weight first
HoldingDYNFXLF
JPMorgan Chase & Co3.59%11.57%
Berkshire Hathaway Inc2.38%12.10%
Bank of America Corp1.59%4.91%
Citigroup Inc1.27%3.15%
Goldman Sachs Group Inc/The1.21%3.94%
Travelers Cos Inc/The1.35%0.93%
CME Group Inc0.81%1.06%
Capital One Financial Corp0.55%1.65%
American International Group Inc0.67%0.52%
Hartford Insurance Group Inc/The1.48%0.48%
Visa Inc0.36%7.51%
Progressive Corp/The0.34%1.68%
Largest positions each one holds and the other does not
Only in DYNFOnly in XLF
NVIDIA Corp 8.62%Mastercard Inc 5.47%
Apple Inc 7.75%Blackrock Inc 1.83%
Microsoft Corp 5.35%S&P Global Inc 1.63%
Amazon.com Inc 4.42%Chubb Ltd 1.62%
Broadcom Inc 3.25%Bank of New York Mellon Corp/The 1.31%
Alphabet Inc 2.87%PNC Financial Services Group Inc/The 1.30%
Cisco Systems Inc 2.76%US Bancorp 1.24%
Lam Research Corp 2.71%Blackstone Inc 1.15%

Weight overlap is an ETFIQ calculation: for every security both funds hold, the smaller of the two weights, summed. Above 50%, holding both is close to holding one of them twice. Holdings dated Apr 30, 2026 and Jun 30, 2026.

DYNF and XLF on the fields both publish, as of Sep 12, 2026. Source: ETFIQ.
DYNF
iShares U.S. Equity Factor Rotation Active ETF
XLF
State Street(R) Financial Select Sector SPDR(R) ETF
Where it sitsCore index fundCore index fund
IssueriSharesState Street
What it isU.S. Equity Factor Rotation ActiveFinancials
Total return, 1 year+20.8%+7.6%
S&P 500 over the same days+17.5%+17.5%
Gap to the S&P 500+3.3 pts−9.9 pts
Expense ratio0.26%0.08%
Already in the S&P 50098.8%100.0%
Holdings18776

DYNF in plain words

DYNF is an index equity fund tracking the U.S. Equity Factor Rotation Active. Over the year to Sep 11, 2026 it returned +20.8% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.26% a year. By its holdings filed for Apr 30, 2026, 99% of the fund by weight is stocks the S&P 500 also holds, across 187 positions, with the top ten at 43.8%.

XLF in plain words

XLF is an index equity fund tracking the Financials. Over the year to Sep 11, 2026 it returned +7.6% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.08% a year. By its holdings filed for Jun 30, 2026, 100% of the fund by weight is stocks the S&P 500 also holds, across 76 positions, with the top ten at 57.7%.

Questions people ask

Which returned more over the last year, DYNF or XLF?
In the year to Sep 12, 2026, with distributions reinvested, DYNF returned +20.8% and XLF returned +7.6%, so DYNF returned more. One year is one year; the longer windows are in the table.
Which is cheaper, DYNF or XLF?
DYNF charges 0.26% a year and XLF charges 0.08%, so XLF is cheaper. Fees come from each fund's prospectus.
How much do DYNF and XLF overlap with the S&P 500?
By their latest filed holdings, 99% of DYNF and 100% of XLF by weight is stocks the S&P 500 already holds. Between the two funds, 14% of their books are the same securities at the same weight.

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Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

DYNF against XLF, ETFIQ, data as of Sep 12, 2026. Every figure is arithmetic on a named public source; the method is at etfiq.com/methodology. A comparison is not a recommendation.

Cite this page. ETFIQ, DYNF against XLF, data as of Sep 12, 2026. https://etfiq.com/compare/any/DYNF-XLF Free to use with attribution; the underlying files are at Open data.

A comparison is not a recommendation. Standards and sources