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

ANV and JULJ both write options for income. GraniteShares Autocallable NVDA ETF and Innovator Premium Income 30 Barrier ETF - July.

9.5%
ANV cash paid, since launch
5.7%
JULJ cash paid, 1 year
+13.2%
ANV total return, since launch
+5.1%
JULJ 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.

JULJ · 1 year to Sep 30, 202610.6 pts behind SPY
JULJ
+5.1%
SPY
+15.7%

10.6 pts behind SPY

JULJ over 1 year: paid 5.7%, price −0.7%, total +5.1%, SPY +15.7%, −10.6 pts.

SPY

+15.7%

JULJ

+5.1%

5.7% as cash

10.6 pts behind SPY

Total return, distributions reinvested

10.6 pts behind SPY

JULJ over 1 year: paid 5.7%, price −0.7%, total +5.1%, SPY +15.7%, −10.6 pts.

SPY

+15.7%

JULJ

+5.1%

10.6 pts behind SPY

5.7% of it arrived as cash. Both charts share one scale, 0 to +26.9%. JULJ over 1 year: paid 5.7%, price −0.7%, total +5.1%, SPY +15.7%, −10.6 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowANVJULJANVJULJANVJULJ
3 months+5.3%+1.6%2.5%1.4%−10.4 pts−0.9 pts
6 months+11.1%+2.8%6.8%2.7%−19.2 pts−14.2 pts
1 yearnot published+5.1%not published5.7%not published−10.6 pts
3 yearsnot published+19.3%not published17.4%not published−65.7 pts
Since launch
ANV Feb 2026 · JULJ Jul 2023
+13.2%+20.6%9.5%19.0%−13.8 pts−58.2 pts

ANV and JULJ 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
JULJ
Innovator Premium Income 30 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% 5.4%
Expense ratio 1.07% 0.79%
Cash paid, 1 year 9.5% (since launch on Feb 3, 2026) 5.7%
Price change, 1 year +3.0% −0.7%
Total return, 1 year +13.2% (since launch on Feb 3, 2026) +5.1%
Benchmark return, 1 year +26.9% +15.7%
Ahead or behind −13.8 pts −10.6 pts
Return of capital, latest estimate 5% not published
Age 239 days 1185 days
Net assets $7m $14m

ANV and JULJ 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).

JULJ in plain words

Over the year to Sep 30, 2026, JULJ paid 5.7% of its starting value in cash distributions while its price fell 0.7%. With every distribution reinvested, the fund returned +5.1%. S&P 500 (SPY) returned +15.7% over the same days, so a holder was behind by 10.6 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 5.4%, paid quarterly.

Questions people ask

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

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

Open data

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