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

ANV and JULH both write options for income. GraniteShares Autocallable NVDA ETF and Innovator Premium Income 20 Barrier ETF - July.

9.5%
ANV cash paid, since launch
4.8%
JULH cash paid, 1 year
+13.2%
ANV total return, since launch
+4.5%
JULH total return, 1 year
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. Total return, distributions reinvested. ANV since launch: paid 9.5%, price +3.0%, total +13.2%, NVDA +26.9%, −13.8 pts.

JULH · 1 year to Sep 30, 202611.2 pts behind SPY
JULH
+4.5%
SPY
+15.7%

11.2 pts behind SPY

JULH over 1 year: paid 4.8%, price −0.4%, total +4.5%, SPY +15.7%, −11.2 pts.

SPY

+15.7%

JULH

+4.5%

4.8% as cash

11.2 pts behind SPY

Total return, distributions reinvested

11.2 pts behind SPY

JULH over 1 year: paid 4.8%, price −0.4%, total +4.5%, SPY +15.7%, −11.2 pts.

SPY

+15.7%

JULH

+4.5%

11.2 pts behind SPY

4.8% of it arrived as cash. Both charts share one scale, 0 to +26.9%. JULH over 1 year: paid 4.8%, price −0.4%, total +4.5%, SPY +15.7%, −11.2 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowANVJULHANVJULHANVJULH
3 months+5.3%+2.0%2.5%1.6%−10.4 pts−0.5 pts
6 months+11.1%+3.6%6.8%2.7%−19.2 pts−13.4 pts
1 yearnot published+4.5%not published4.8%not published−11.2 pts
3 yearsnot published+21.9%not published18.6%not published−63.0 pts
Since launch
ANV Feb 2026 · JULH Jul 2023
+13.2%+22.9%9.5%20.3%−13.8 pts−55.9 pts

ANV and JULH 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
JULH
Innovator Premium Income 20 Barrier ETF - July · Defined income on SPY, paying quarterly
Issuer GraniteShares Innovator
Strategy autocallable defined income
Benchmark NVIDIA (NVDA) S&P 500 (SPY)
Pays monthly quarterly
Payout rate, annualized 13.9% 6.6%
Expense ratio 1.07% 0.79%
Cash paid, 1 year 9.5% (since launch on Feb 3, 2026) 4.8%
Price change, 1 year +3.0% −0.4%
Total return, 1 year +13.2% (since launch on Feb 3, 2026) +4.5%
Benchmark return, 1 year +26.9% +15.7%
Ahead or behind −13.8 pts −11.2 pts
Return of capital, latest estimate 5% not published
Age 239 days 1185 days
Net assets $7m $17m

ANV and JULH 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).

JULH in plain words

Over the year to Sep 30, 2026, JULH paid 4.8% of its starting value in cash distributions while its price fell 0.4%. With every distribution reinvested, the fund returned +4.5%. S&P 500 (SPY) returned +15.7% over the same days, so a holder was behind by 11.2 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 6.6%, paid quarterly.

Questions people ask

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

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

Open data

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