JANH vs PLA: which paid, and which earned it?

JANH and PLA both write options for income. Innovator Premium Income 20 Barrier ETF - January and GraniteShares Autocallable PLTR ETF.

6.3%
JANH cash paid, 1 year
6.9%
PLA cash paid, since launch
+6.5%
JANH total return, 1 year
+11.1%
PLA total return, since launch
JANH · 1 year to Sep 30, 20269.2 pts behind SPY
JANH
+6.5%
SPY
+15.7%

9.2 pts behind SPY

JANH over 1 year: paid 6.3%, price +0.1%, total +6.5%, SPY +15.7%, −9.2 pts.

SPY

+15.7%

JANH

+6.5%

6.3% as cash

9.2 pts behind SPY

Total return, distributions reinvested

9.2 pts behind SPY

JANH over 1 year: paid 6.3%, price +0.1%, total +6.5%, SPY +15.7%, −9.2 pts.

SPY

+15.7%

JANH

+6.5%

9.2 pts behind SPY

6.3% of it arrived as cash. Total return, distributions reinvested. JANH over 1 year: paid 6.3%, price +0.1%, total +6.5%, SPY +15.7%, −9.2 pts.

PLA · since launch to Sep 30, 202627.2 pts behind PLTR
PLA
+11.1%
PLTR
+38.3%

27.2 pts behind PLTR

PLA since launch: paid 6.9%, price +3.7%, total +11.1%, PLTR +38.3%, −27.2 pts.

PLTR

+38.3%

PLA

+11.1%

6.9% as cash

27.2 pts behind PLTR

Total return, distributions reinvested

27.2 pts behind PLTR

PLA since launch: paid 6.9%, price +3.7%, total +11.1%, PLTR +38.3%, −27.2 pts.

PLTR

+38.3%

PLA

+11.1%

27.2 pts behind PLTR

6.9% of it arrived as cash. Both charts share one scale, 0 to +38.3%. PLA since launch: paid 6.9%, price +3.7%, total +11.1%, PLTR +38.3%, −27.2 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowJANHPLAJANHPLAJANHPLA
3 months+1.6%+11.5%1.6%3.5%−0.9 pts−37.2 pts
6 months+6.1%not published3.2%not published−10.9 ptsnot published
1 year+6.5%not published6.3%not published−9.2 ptsnot published
Since launch
JANH Jan 2024 · PLA May 2026
+20.0%+11.1%17.7%6.9%−46.6 pts−27.2 pts

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

On the same fields

JANH
Innovator Premium Income 20 Barrier ETF - January · Defined income on SPY, paying quarterly
PLA
GraniteShares Autocallable PLTR ETF · Autocallable on PLTR, paying monthly
Issuer Innovator GraniteShares
Strategy defined income autocallable
Benchmark S&P 500 (SPY) Palantir (PLTR)
Pays quarterly monthly
Payout rate, annualized 6.3% 19.3%
Expense ratio 0.79% 1.07%
Cash paid, 1 year 6.3% 6.9% (since launch on May 19, 2026)
Price change, 1 year +0.1% +3.7%
Total return, 1 year +6.5% +11.1% (since launch on May 19, 2026)
Benchmark return, 1 year +15.7% +38.3%
Ahead or behind −9.2 pts −27.2 pts
Return of capital, latest estimate not published 0%
Age 1002 days 134 days
Net assets $12m $4m

JANH and PLA on the same fields, as of Sep 30, 2026. Source: ETFIQ.

JANH in plain words

Over the year to Sep 30, 2026, JANH paid 6.3% of its starting value in cash distributions while its price rose 0.1%. With every distribution reinvested, the fund returned +6.5%. S&P 500 (SPY) returned +15.7% over the same days, so a holder was behind by 9.2 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 6.3%, paid quarterly.

PLA in plain words

Over the period since launch on May 19, 2026 to Sep 30, 2026, PLA paid 6.9% of its starting value in cash distributions while its price rose 3.7%. With every distribution reinvested, the fund returned +11.1%. Palantir (PLTR) returned +38.3% over the same days, so a holder was behind by 27.2 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 19.3%, paid monthly. GraniteShares estimates that 0% 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, JANH or PLA?
JANH charges 0.79% a year and PLA charges 1.07%, so JANH is cheaper. Fees come from each fund's prospectus.
Cite this page

ETFIQ, JANH against PLA, data as of Sep 30, 2026. https://etfiq.com/compare/income/janh-vs-pla

Open data

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