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Data as of . Every figure is the income desk's own, on published data.

FEPI vs MSFO

REX FANG & Innovation Equity Premium Income ETF and YieldMax(R) MSFT Option Income Strategy ETF, side by side on the income desk.

What they hold in common

By the books each fund has filed, FEPI and MSFO hold 0% of their money in the same securities at the same weight.

Largest positions each one holds and the other does not
Only in FEPIOnly in MSFO
ADVANCED MICRO DEVICES, INC. 9.98%TREASURY BILL 32.44%
MICRON TECHNOLOGY, INC. 8.91%TREASURY BILL 31.42%
ALPHABET INC. 8.83%TREASURY BILL 14.95%
BROADCOM INC. 8.05%TREASURY BILL 12.47%
NVIDIA CORPORATION 7.76%TREASURY BILL 8.72%
TESLA, INC. 7.47%
INTEL CORPORATION 5.24%
AMAZON.COM, INC. 5.21%

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 as filed for Apr 30, 2026.

Performance, window by window

FEPI and MSFO over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnCash paidAgainst the benchmark
FEPIMSFOFEPIMSFOFEPIMSFO
3 months+2.7%+16.0%6.0%11.2%+0.6 pts−4.2 pts
6 months+14.8%+18.9%11.7%20.6%−5.3 pts−3.8 pts
1 year+17.8%+0.3%23.2%27.9%−7.8 pts+1.1 pts
3 yearsn/a+51.3%n/a78.8%n/a−2.1 pts
Since launch+66.6%+55.5%66.0%81.0%−30.1 pts−2.8 pts
Open the live comparison on ETFIQ
FEPI and MSFO on the income desk fields, as of Sep 4, 2026. Source: ETFIQ.
FEPI
REX FANG & Innovation Equity Premium Income ETF
MSFO
YieldMax(R) MSFT Option Income Strategy ETF
IssuerREXYieldMax
Strategycovered callsynthetic covered call
BenchmarkNasdaq-100 (QQQ), used as the innovation proxyMicrosoft (MSFT)
Paysweeklyweekly
Payout rate, annualised25.1%41.2%
Expense ratio0.65%1.03%
Cash paid, 1 year23.2%27.9%
Price change, 1 year−7.5%−30.3%
Total return, 1 year+17.8%+0.3%
Benchmark return, 1 year+25.6%−0.8%
Ahead or behind−7.8 pts+1.1 pts
Return of capital, latest estimatenot published95%
Age1059 days1106 days

FEPI in plain words

Over the year to Sep 4, 2026, FEPI paid 23.2% of its starting value in cash distributions while its price fell 7.5%. With every distribution reinvested, the fund returned +17.8%. Nasdaq-100 (QQQ), used as the innovation proxy returned +25.6% over the same days, so a holder was behind by 7.8 pts. At its price on Sep 4, 2026 the latest distribution annualises to 25.1%, paid weekly.

MSFO in plain words

Over the year to Sep 4, 2026, MSFO paid 27.9% of its starting value in cash distributions while its price fell 30.3%. With every distribution reinvested, the fund returned +0.3%. Microsoft (MSFT) returned −0.8% over the same days, so a holder was ahead by 1.1 pts. At its price on Sep 4, 2026 the latest distribution annualises to 41.2%, paid weekly. YieldMax estimates that 95% of the distribution paid Sep 4, 2026 was a return of capital (19a-1 notice, estimated, a tax characterisation rather than a measure of erosion).

Questions people ask

Which paid more, FEPI or MSFO?
Over the year to Sep 4, 2026, FEPI paid 23.2% of its starting price in cash and MSFO paid 27.9%, so MSFO paid more. Cash paid is not the same as money made: the price change matters too.
Which returned more once distributions are counted, FEPI or MSFO?
With every distribution reinvested, FEPI returned +17.8% and MSFO returned +0.3% over the year to Sep 4, 2026, so FEPI returned more.
Which is cheaper, FEPI or MSFO?
FEPI charges 0.65% a year and MSFO charges 1.03%, so FEPI is cheaper. Fees come from each fund's prospectus.

Other comparisons

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.

FEPI against MSFO, ETFIQ, data as of Sep 4, 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, FEPI against MSFO, data as of Sep 4, 2026. https://etfiq.com/compare/income/FEPI-MSFO.html Free to use with attribution; the underlying files are at Open data.

How every figure is computed · Standards and sources