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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 VONG: how they differ

DYNF and VONG hold 51% of their weight in the same names, and DYNF returned more over the year.

iShares U.S. Equity Factor Rotation Active ETF and Vanguard Russell 1000 Growth Index Fund.

What they hold in common

By the books each fund has filed, DYNF and VONG hold 51% of their money in the same securities at the same weight.

Positions DYNF and VONG both hold, largest shared weight first
HoldingDYNFVONG
NVIDIA Corp8.62%13.09%
Apple Inc7.75%11.97%
Microsoft Corp5.35%8.98%
Amazon.com Inc4.42%5.07%
Broadcom Inc3.25%5.78%
Alphabet Inc2.87%3.91%
Meta Platforms Inc2.50%3.20%
Alphabet Inc2.10%3.15%
Tesla Inc1.74%3.48%
Lam Research Corp2.71%1.21%
Advanced Micro Devices Inc1.14%1.47%
Netflix Inc1.17%1.10%
Largest positions each one holds and the other does not
Only in DYNFOnly in VONG
JPMorgan Chase & Co 3.59%Mastercard Inc 1.20%
Cisco Systems Inc 2.76%KLA Corp 0.76%
Berkshire Hathaway Inc 2.38%Palo Alto Networks Inc 0.68%
Exxon Mobil Corp 1.93%Arista Networks Inc 0.50%
Johnson & Johnson 1.92%Coca-Cola Co/The 0.45%
Duke Energy Corp 1.63%Amgen Inc 0.40%
Parker-Hannifin Corp 1.50%Vertex Pharmaceuticals Inc 0.34%
Hartford Insurance Group Inc/The 1.48%Adobe Inc 0.32%

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 VONG on the fields both publish, as of Sep 12, 2026. Source: ETFIQ.
DYNF
iShares U.S. Equity Factor Rotation Active ETF
VONG
Vanguard Russell 1000 Growth Index Fund
Where it sitsCore index fundCore index fund
IssueriSharesVanguard
What it isU.S. Equity Factor Rotation ActiveRussell 1000 Growth
Total return, 1 year+20.8%+7.2%
S&P 500 over the same days+17.5%+17.5%
Gap to the S&P 500+3.3 pts−10.3 pts
Expense ratio0.26%0.07%
Already in the S&P 50098.8%95.6%
Holdings187387

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%.

VONG in plain words

VONG is an index equity fund tracking the Russell 1000 Growth. Over the year to Sep 11, 2026 it returned +7.2% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.07% a year. By its holdings filed for May 31, 2026, 96% of the fund by weight is stocks the S&P 500 also holds, across 387 positions, with the top ten at 61.3%. It sat 4.9% below its high of Jun 1, 2026 on Sep 11, 2026.

Questions people ask

Which returned more over the last year, DYNF or VONG?
In the year to Sep 12, 2026, with distributions reinvested, DYNF returned +20.8% and VONG returned +7.2%, so DYNF returned more. One year is one year; the longer windows are in the table.
Which is cheaper, DYNF or VONG?
DYNF charges 0.26% a year and VONG charges 0.07%, so VONG is cheaper. Fees come from each fund's prospectus.
How much do DYNF and VONG overlap with the S&P 500?
By their latest filed holdings, 99% of DYNF and 96% of VONG by weight is stocks the S&P 500 already holds. Between the two funds, 51% 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 VONG, 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 VONG, data as of Sep 12, 2026. https://etfiq.com/compare/any/DYNF-VONG Free to use with attribution; the underlying files are at Open data.

A comparison is not a recommendation. Standards and sources