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

ACEI and ANV both write options for income. Innovator Equity Autocallable Income Strategy ETF and GraniteShares Autocallable NVDA ETF.

11.1%
ACEI cash paid, 1 year
9.5%
ANV cash paid, since launch
+5.9%
ACEI total return, 1 year
+13.2%
ANV total return, since launch
ACEI · 1 year to Sep 30, 20269.8 pts behind SPY
ACEI
+5.9%
SPY
+15.7%

9.8 pts behind SPY

ACEI over 1 year: paid 11.1%, price −5.7%, total +5.9%, SPY +15.7%, −9.8 pts.

SPY

+15.7%

ACEI

+5.9%

11.1% as cash

9.8 pts behind SPY

Total return, distributions reinvested

9.8 pts behind SPY

ACEI over 1 year: paid 11.1%, price −5.7%, total +5.9%, SPY +15.7%, −9.8 pts.

SPY

+15.7%

ACEI

+5.9%

9.8 pts behind SPY

11.1% of it arrived as cash. Total return, distributions reinvested. ACEI over 1 year: paid 11.1%, price −5.7%, total +5.9%, SPY +15.7%, −9.8 pts.

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% of it arrived 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. Both charts share one scale, 0 to +26.9%. ANV since launch: paid 9.5%, price +3.0%, total +13.2%, NVDA +26.9%, −13.8 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowACEIANVACEIANVACEIANV
3 months+5.4%+5.3%3.3%2.5%+2.8 pts−10.4 pts
6 months+5.6%+11.1%6.5%6.8%−11.4 pts−19.2 pts
1 year+5.9%not published11.1%not published−9.8 ptsnot published
Since launch
ACEI Sep 2025 · ANV Feb 2026
+6.0%+13.2%11.1%9.5%−11.2 pts−13.8 pts

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

On the same fields

ACEI
Innovator Equity Autocallable Income Strategy ETF · Autocallable on SPY, paying monthly
ANV
GraniteShares Autocallable NVDA ETF · Autocallable on NVDA, paying monthly
Issuer Innovator GraniteShares
Strategy autocallable autocallable
Benchmark S&P 500 (SPY), used as a default proxy NVIDIA (NVDA)
Pays monthly monthly
Payout rate, annualized 13.0% 13.9%
Expense ratio 0.79% 1.07%
Cash paid, 1 year 11.1% 9.5% (since launch on Feb 3, 2026)
Price change, 1 year −5.7% +3.0%
Total return, 1 year +5.9% +13.2% (since launch on Feb 3, 2026)
Benchmark return, 1 year +15.7% +26.9%
Ahead or behind −9.8 pts −13.8 pts
Return of capital, latest estimate not published 5%
Age 370 days 239 days
Net assets $50m $7m

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

ACEI in plain words

Over the year to Sep 30, 2026, ACEI paid 11.1% of its starting value in cash distributions while its price fell 5.7%. With every distribution reinvested, the fund returned +5.9%. S&P 500 (SPY), used as a default proxy returned +15.7% over the same days, so a holder was behind by 9.8 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 13.0%, paid monthly.

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).

Questions people ask

Which is cheaper, ACEI or ANV?
ACEI charges 0.79% a year and ANV charges 1.07%, so ACEI is cheaper. Fees come from each fund's prospectus.
Cite this page

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

Open data

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