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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 SPMO: how they differ

DYNF and SPMO hold 43% of their weight in the same names, and SPMO returned more over the year.

iShares U.S. Equity Factor Rotation Active ETF and Invesco S&P 500 Momentum ETF.

What they hold in common

By the books each fund has filed, DYNF and SPMO hold 43% of their money in the same securities at the same weight.

Positions DYNF and SPMO both hold, largest shared weight first
HoldingDYNFSPMO
NVIDIA Corp8.62%8.46%
Broadcom Inc3.25%7.58%
Alphabet Inc2.87%4.81%
Lam Research Corp2.71%3.54%
Alphabet Inc2.10%3.81%
Cisco Systems Inc2.76%2.02%
Exxon Mobil Corp1.93%2.78%
Johnson & Johnson1.92%3.85%
Applied Materials Inc1.41%1.77%
Micron Technology Inc1.35%10.72%
Caterpillar Inc1.28%2.60%
Goldman Sachs Group Inc/The1.21%1.43%
Largest positions each one holds and the other does not
Only in DYNFOnly in SPMO
Apple Inc 7.75%Seagate Technology Holdings PLC 1.88%
Microsoft Corp 5.35%KLA Corp. 1.39%
Amazon.com Inc 4.42%Coca-Cola Co. (The) 1.21%
JPMorgan Chase & Co 3.59%Analog Devices, Inc. 0.81%
Meta Platforms Inc 2.50%Cummins Inc. 0.51%
Berkshire Hathaway Inc 2.38%Bank of New York Mellon Corp. (The) 0.50%
Tesla Inc 1.74%Quanta Services, Inc. 0.48%
Duke Energy Corp 1.63%General Dynamics Corp. 0.45%

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 May 31, 2026.

DYNF and SPMO on the fields both publish, as of Sep 12, 2026. Source: ETFIQ.
DYNF
iShares U.S. Equity Factor Rotation Active ETF
SPMO
Invesco S&P 500 Momentum ETF
Where it sitsCore index fundCore index fund
IssueriSharesInvesco
What it isU.S. Equity Factor Rotation ActiveS&P 500 Momentum
Total return, 1 year+20.8%+24.5%
S&P 500 over the same days+17.5%+17.5%
Gap to the S&P 500+3.3 pts+7.0 pts
Expense ratio0.26%0.13%
Already in the S&P 50098.8%100.0%
Holdings18799

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%.

SPMO in plain words

SPMO is an index equity fund tracking the S&P 500 Momentum. Over the year to Sep 11, 2026 it returned +24.5% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.13% a year. By its holdings filed for May 31, 2026, 100% of the fund by weight is stocks the S&P 500 also holds, across 99 positions, with the top ten at 52.6%. It sat 8.3% below its high of Jun 22, 2026 on Sep 11, 2026.

Questions people ask

Which returned more over the last year, DYNF or SPMO?
In the year to Sep 12, 2026, with distributions reinvested, DYNF returned +20.8% and SPMO returned +24.5%, so SPMO returned more. One year is one year; the longer windows are in the table.
Which is cheaper, DYNF or SPMO?
DYNF charges 0.26% a year and SPMO charges 0.13%, so SPMO is cheaper. Fees come from each fund's prospectus.
How much do DYNF and SPMO overlap with the S&P 500?
By their latest filed holdings, 99% of DYNF and 100% of SPMO by weight is stocks the S&P 500 already holds. Between the two funds, 43% 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 SPMO, 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 SPMO, data as of Sep 12, 2026. https://etfiq.com/compare/any/DYNF-SPMO Free to use with attribution; the underlying files are at Open data.

A comparison is not a recommendation. Standards and sources