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

ANV and MRA both write options for income. GraniteShares Autocallable NVDA ETF and GraniteShares Autocallable MARA ETF.

9.5%
ANV cash paid, since launch
13.7%
MRA cash paid, since launch
+13.2%
ANV total return, since launch
+4.6%
MRA total return, since launch
ANV · since launch to Sep 30, 202613.8 pts behind NVDA
ANV
+13.2%
NVDA
+26.9%

13.8 pts behind NVDA

ANV since launch: paid 9.5%, price +3.0%, total +13.2%, NVDA +26.9%, −13.8 pts.

NVDA

+26.9%

ANV

+13.2%

9.5% as cash

13.8 pts behind NVDA

Total return, distributions reinvested

13.8 pts behind NVDA

ANV since launch: paid 9.5%, price +3.0%, total +13.2%, NVDA +26.9%, −13.8 pts.

NVDA

+26.9%

ANV

+13.2%

13.8 pts behind NVDA

9.5% of it arrived as cash. Total return, distributions reinvested. ANV since launch: paid 9.5%, price +3.0%, total +13.2%, NVDA +26.9%, −13.8 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 +26.9%. 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
WindowANVMRAANVMRAANVMRA
3 months+5.3%+7.2%2.5%7.5%−10.4 pts+22.4 pts
6 months+11.1%not published6.8%not published−19.2 ptsnot published
Since launch
ANV Feb 2026 · MRA May 2026
+13.2%+4.6%9.5%13.7%−13.8 pts+25.5 pts

ANV 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

ANV
GraniteShares Autocallable NVDA ETF · Autocallable on NVDA, paying monthly
MRA
GraniteShares Autocallable MARA ETF · Autocallable on MARA, paying monthly
Issuer GraniteShares GraniteShares
Strategy autocallable autocallable
Benchmark NVIDIA (NVDA) MARA (MARA)
Pays monthly monthly
Payout rate, annualized 13.9% 45.3%
Expense ratio 1.07% 1.07%
Cash paid, 1 year 9.5% (since launch on Feb 3, 2026) 13.7% (since launch on May 27, 2026)
Price change, 1 year +3.0% −10.4%
Total return, 1 year +13.2% (since launch on Feb 3, 2026) +4.6% (since launch on May 27, 2026)
Benchmark return, 1 year +26.9% −20.9%
Ahead or behind −13.8 pts +25.5 pts
Return of capital, latest estimate 5% not published
Age 239 days 126 days
Net assets $7m $1m

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

ANV in plain words

Over the period since launch on Feb 3, 2026 to Sep 30, 2026, ANV paid 9.5% of its starting value in cash distributions while its price rose 3.0%. With every distribution reinvested, the fund returned +13.2%. NVIDIA (NVDA) returned +26.9% over the same days, so a holder was behind by 13.8 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 13.9%, paid monthly. GraniteShares estimates that 5% of the distribution paid Sep 11, 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, ANV or MRA?
ANV charges 1.07% a year and MRA charges 1.07%, so ANV is cheaper. Fees come from each fund's prospectus.
Cite this page

ETFIQ, ANV against MRA, data as of Sep 30, 2026. https://etfiq.com/compare/income/anv-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.