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

ACEI and PLA both write options for income. Innovator Equity Autocallable Income Strategy ETF and GraniteShares Autocallable PLTR ETF.

11.1%
ACEI cash paid, 1 year
6.9%
PLA cash paid, since launch
+5.9%
ACEI total return, 1 year
+11.1%
PLA 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% 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.

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
WindowACEIPLAACEIPLAACEIPLA
3 months+5.4%+11.5%3.3%3.5%+2.8 pts−37.2 pts
6 months+5.6%not published6.5%not published−11.4 ptsnot published
1 year+5.9%not published11.1%not published−9.8 ptsnot published
Since launch
ACEI Sep 2025 · PLA May 2026
+6.0%+11.1%11.1%6.9%−11.2 pts−27.2 pts

ACEI 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

ACEI
Innovator Equity Autocallable Income Strategy ETF · Autocallable on SPY, paying monthly
PLA
GraniteShares Autocallable PLTR ETF · Autocallable on PLTR, paying monthly
Issuer Innovator GraniteShares
Strategy autocallable autocallable
Benchmark S&P 500 (SPY), used as a default proxy Palantir (PLTR)
Pays monthly monthly
Payout rate, annualized 13.0% 19.3%
Expense ratio 0.79% 1.07%
Cash paid, 1 year 11.1% 6.9% (since launch on May 19, 2026)
Price change, 1 year −5.7% +3.7%
Total return, 1 year +5.9% +11.1% (since launch on May 19, 2026)
Benchmark return, 1 year +15.7% +38.3%
Ahead or behind −9.8 pts −27.2 pts
Return of capital, latest estimate not published 0%
Age 370 days 134 days
Net assets $50m $4m

ACEI and PLA 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.

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

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