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Data as of .

ACSP vs QRMI: which paid, and which earned it?

ACSP and QRMI both write options for income.

ProShares S&P 500 Autocallable Income ETF and Global X NASDAQ 100 Risk Managed Income ETF.

0.0%ACSP cash paid, 1 year
11.8%QRMI cash paid, 1 year
−3.8%ACSP total return, 1 year
+8.5%QRMI total return, 1 year
ACSP2.1 pts behind SPY · since launch to Sep 18, 2026
SPY−1.6%ACSP−3.8%2.1 pts behind SPYTotal return, distributions reinvestedSPY−1.6%ACSP−3.8%2.1 pts behind SPY
QRMI13.3 pts behind QQQ · 1 year to Sep 18, 2026
QQQ+21.8%QRMI+8.5%11.8% of it arrived as cash13.3 pts behind QQQTotal return, distributions reinvestedQQQ+21.8%QRMI+8.5%13.3 pts behind QQQ

What they hold in common

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

Only in each
Only in ACSPOnly in QRMI
S&P500 FUTURES 35% AUTOCALL SWAP BANK OF AMERICA NA 100.00%NVIDIA CORP 8.49%
APPLE INC 7.78%
MICROSOFT CORP 5.81%
MICRON TECHNOLOGY INC 5.02%
AMAZON.COM INC 4.33%
ADVANCED MICRO DEVICES 4.00%
ALPHABET INC-CL A 3.25%
META PLATFORMS INC 3.13%

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 Sep 18, 2026.

Performance, window by window

ACSP and QRMI over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnCash paidAgainst the benchmark
ACSPQRMIACSPQRMIACSPQRMI
3 monthsnot published+0.6%not published3.0%not published+3.1 pts
6 monthsnot published+7.3%not published6.1%not published−17.0 pts
1 yearnot published+8.5%not published11.8%not published−13.3 pts
3 yearsnot published+26.7%not published33.5%not published−71.5 pts
Since launch−3.8%+10.4%0.0%40.8%−2.1 pts−89.1 pts
Open the live comparison on ETFIQ
ACSP and QRMI on the same fields, as of Sep 18, 2026. Source: ETFIQ.
ACSP
ProShares S&P 500 Autocallable Income ETF
Option income on SPY
QRMI
Global X NASDAQ 100 Risk Managed Income ETF
Option income on QQQ, paying monthly
IssuerProSharesGlobal X
Strategyoption incomeoption income
BenchmarkS&P 500 (SPY)Nasdaq-100 (QQQ)
Paysnot establishedmonthly
Payout rate, annualizednot published12.0%
Expense ratio0.72%0.60%
Cash paid, 1 year0.0% (since launch on Aug 14, 2026)11.8%
Price change, 1 year−3.8%−3.8%
Total return, 1 year−3.8% (since launch on Aug 14, 2026)+8.5%
Benchmark return, 1 year−1.6%+21.8%
Ahead or behind−2.1 pts−13.3 pts
Return of capital, latest estimatenot published100%
Age35 days1849 days
Net assets$27m$15m

ACSP in plain words

Over the period since launch on Aug 14, 2026 to Sep 18, 2026, ACSP paid 0.0% of its starting value in cash distributions while its price fell 3.8%. With every distribution reinvested, the fund returned −3.8%. S&P 500 (SPY) returned −1.6% over the same days, so a holder was behind by 2.1 pts.

QRMI in plain words

Over the year to Sep 18, 2026, QRMI paid 11.8% of its starting value in cash distributions while its price fell 3.8%. With every distribution reinvested, the fund returned +8.5%. Nasdaq-100 (QQQ) returned +21.8% over the same days, so a holder was behind by 13.3 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 12.0%, paid monthly. Global X estimates that 100% of the distribution paid Aug 27, 2026 was a return of capital (19a-1 notice, estimated, a tax characterization rather than a measure of erosion).

Questions people ask

Which is cheaper, ACSP or QRMI?
ACSP charges 0.72% a year and QRMI charges 0.60%, so QRMI 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.

ACSP against QRMI, ETFIQ, data as of Sep 18, 2026. Every figure is calculated from a named public source; the method is at etfiq.com/methodology. A comparison is not a recommendation.

Cite this page. ETFIQ, ACSP against QRMI, data as of Sep 18, 2026. https://etfiq.com/compare/income/acsp-vs-qrmi Free to use with attribution; the underlying files are at Open data.

How every figure is computed · Standards and sources