MAAY vs MRA: which paid, and which earned it?

MAAY and MRA both write options for income. GraniteShares YieldBOOST MARA ETF and GraniteShares Autocallable MARA ETF.

46.0%
MAAY cash paid, since launch
13.7%
MRA cash paid, since launch
−43.3%
MAAY total return, since launch
+4.6%
MRA total return, since launch
MAAY · since launch to Sep 30, 202611.5 pts behind MARA
MAAY
−43.3%
MARA
−31.8%

11.5 pts behind MARA

MAAY since launch: paid 46.0%, price −80.0%, total −43.3%, MARA −31.8%, −11.5 pts.

MARA

−31.8%

MAAY

−43.3%

11.5 pts behind MARA

Total return, distributions reinvested

11.5 pts behind MARA

MAAY since launch: paid 46.0%, price −80.0%, total −43.3%, MARA −31.8%, −11.5 pts.

MARA

−31.8%

MAAY

−43.3%

11.5 pts behind MARA

46.0% of it arrived as cash. Total return, distributions reinvested. MAAY since launch: paid 46.0%, price −80.0%, total −43.3%, MARA −31.8%, −11.5 pts.

MRA · since launch to Sep 30, 202625.5 pts ahead of MARA
MRA
+4.6%
MARA
−20.9%

25.5 pts ahead of MARA

MRA since launch: paid 13.7%, price −10.4%, total +4.6%, MARA −20.9%, +25.5 pts.

MARA

−20.9%

MRA

+4.6%

25.5 pts ahead of MARA

Total return, distributions reinvested

25.5 pts ahead of MARA

MRA since launch: paid 13.7%, price −10.4%, total +4.6%, MARA −20.9%, +25.5 pts.

MARA

−20.9%

MRA

+4.6%

25.5 pts ahead of MARA

13.7% of it arrived as cash. Both charts share one scale, 0 to +4.6%. MRA since launch: paid 13.7%, price −10.4%, total +4.6%, MARA −20.9%, +25.5 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowMAAYMRAMAAYMRAMAAYMRA
3 months−6.5%+7.2%20.2%7.5%+8.8 pts+22.4 pts
6 months+2.0%not published40.0%not published−38.9 ptsnot published
Since launch
MAAY Nov 2025 · MRA May 2026
−43.3%+4.6%46.0%13.7%−11.5 pts+25.5 pts

MAAY and MRA over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ. Open the live comparison on ETFIQ →

On the same fields

MAAY
GraniteShares YieldBOOST MARA ETF · Synthetic covered call on MARA, paying weekly
MRA
GraniteShares Autocallable MARA ETF · Autocallable on MARA, paying monthly
Issuer GraniteShares GraniteShares
Strategy synthetic covered call autocallable
Benchmark MARA (MARA) MARA (MARA)
Pays weekly monthly
Payout rate, annualized 97.3% 45.3%
Expense ratio 1.07% 1.07%
Cash paid, 1 year 46.0% (since launch on Nov 4, 2025) 13.7% (since launch on May 27, 2026)
Price change, 1 year −80.0% −10.4%
Total return, 1 year −43.3% (since launch on Nov 4, 2025) +4.6% (since launch on May 27, 2026)
Benchmark return, 1 year −31.8% −20.9%
Ahead or behind −11.5 pts +25.5 pts
Return of capital, latest estimate 98% not published
Age 330 days 126 days
Net assets $5m $1m

MAAY and MRA on the same fields, as of Sep 30, 2026. Source: ETFIQ.

MAAY in plain words

Over the period since launch on Nov 4, 2025 to Sep 30, 2026, MAAY paid 46.0% of its starting value in cash distributions while its price fell 80.0%. With every distribution reinvested, the fund returned −43.3%. MARA (MARA) returned −31.8% over the same days, so a holder was behind by 11.5 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 97.3%, paid weekly. GraniteShares estimates that 98% of the distribution paid Sep 1, 2026 was a return of capital (19a-1 notice, estimated, a tax characterization rather than a measure of erosion).

MRA in plain words

Over the period since launch on May 27, 2026 to Sep 30, 2026, MRA paid 13.7% of its starting value in cash distributions while its price fell 10.4%. With every distribution reinvested, the fund returned +4.6%. MARA (MARA) returned −20.9% over the same days, so a holder was ahead by 25.5 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 45.3%, paid monthly.

Questions people ask

Which is cheaper, MAAY or MRA?
MAAY charges 1.07% a year and MRA charges 1.07%, so MAAY is cheaper. Fees come from each fund's prospectus.
Cite this page

ETFIQ, MAAY against MRA, data as of Sep 30, 2026. https://etfiq.com/compare/income/maay-vs-mra

Open data

Free to use with attribution. Every figure is calculated from a named public source; the method is at etfiq.com/methodology.