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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 FNDX: how they differ

DYNF and FNDX hold 42% of their weight in the same names, and FNDX returned more over the year.

iShares U.S. Equity Factor Rotation Active ETF and Schwab Fundamental U.S. Large Company ETF.

What they hold in common

By the books each fund has filed, DYNF and FNDX hold 42% of their money in the same securities at the same weight.

Positions DYNF and FNDX both hold, largest shared weight first
HoldingDYNFFNDX
Apple Inc7.75%4.64%
Alphabet Inc2.87%2.38%
Microsoft Corp5.35%2.33%
Exxon Mobil Corp1.93%2.29%
Alphabet Inc2.10%1.90%
Amazon.com Inc4.42%1.86%
Berkshire Hathaway Inc2.38%1.41%
JPMorgan Chase & Co3.59%1.38%
Micron Technology Inc1.35%1.60%
Meta Platforms Inc2.50%1.24%
Walmart Inc1.42%1.01%
Johnson & Johnson1.92%0.97%
Largest positions each one holds and the other does not
Only in DYNFOnly in FNDX
Palantir Technologies Inc 1.17%Chevron Corp 1.49%
AppLovin Corp 0.29%Merck & Co Inc 0.68%
Lumentum Holdings Inc 0.16%ConocoPhillips 0.66%
Penumbra Inc 0.14%Marathon Petroleum Corp 0.63%
Bloom Energy Corp 0.10%Ford Motor Co 0.60%
ROBLOX Corp 0.09%Bristol-Myers Squibb Co 0.53%
Comfort Systems USA Inc 0.07%QUALCOMM Inc 0.53%
Robinhood Markets Inc 0.07%Elevance Health Inc 0.51%

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 FNDX on the fields both publish, as of Sep 12, 2026. Source: ETFIQ.
DYNF
iShares U.S. Equity Factor Rotation Active ETF
FNDX
Schwab Fundamental U.S. Large Company ETF
Where it sitsCore index fundCore index fund
IssueriSharesSchwab
What it isU.S. Equity Factor Rotation ActiveFundamental U.S. Large Company
Total return, 1 year+20.8%+26.1%
S&P 500 over the same days+17.5%+17.5%
Gap to the S&P 500+3.3 pts+8.6 pts
Expense ratio0.26%0.25%
Already in the S&P 50098.8%91.2%
Holdings187733

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%.

FNDX in plain words

FNDX is an index equity fund tracking the Fundamental U.S. Large Company. Over the year to Sep 11, 2026 it returned +26.1% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.25% a year. By its holdings filed for May 31, 2026, 91% of the fund by weight is stocks the S&P 500 also holds, across 733 positions, with the top ten at 22.5%.

Questions people ask

Which returned more over the last year, DYNF or FNDX?
In the year to Sep 12, 2026, with distributions reinvested, DYNF returned +20.8% and FNDX returned +26.1%, so FNDX returned more. One year is one year; the longer windows are in the table.
Which is cheaper, DYNF or FNDX?
DYNF charges 0.26% a year and FNDX charges 0.25%, so FNDX is cheaper. Fees come from each fund's prospectus.
How much do DYNF and FNDX overlap with the S&P 500?
By their latest filed holdings, 99% of DYNF and 91% of FNDX by weight is stocks the S&P 500 already holds. Between the two funds, 42% 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 FNDX, 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 FNDX, data as of Sep 12, 2026. https://etfiq.com/compare/any/DYNF-FNDX Free to use with attribution; the underlying files are at Open data.

A comparison is not a recommendation. Standards and sources