DACL vs SCA: which paid, and which earned it?

DACL and SCA both write options for income. REX Defensive Autocallable Income ETF and GraniteShares Autocallable SMCI ETF.

0.6%
DACL cash paid, since launch
12.8%
SCA cash paid, since launch
+0.5%
DACL total return, since launch
+17.8%
SCA total return, since launch
DACL · since launch to Sep 30, 20262.2 pts ahead of SPY
DACL
+0.5%
SPY
−1.7%

2.2 pts ahead of SPY

DACL since launch: paid 0.6%, price −0.1%, total +0.5%, SPY −1.7%, +2.2 pts.

SPY

−1.7%

DACL

+0.5%

2.2 pts ahead of SPY

Total return, distributions reinvested

2.2 pts ahead of SPY

DACL since launch: paid 0.6%, price −0.1%, total +0.5%, SPY −1.7%, +2.2 pts.

SPY

−1.7%

DACL

+0.5%

2.2 pts ahead of SPY

0.6% of it arrived as cash. Total return, distributions reinvested. DACL since launch: paid 0.6%, price −0.1%, total +0.5%, SPY −1.7%, +2.2 pts.

SCA · since launch to Sep 30, 202610.3 pts ahead of SMCI
SCA
+17.8%
SMCI
+7.5%

10.3 pts ahead of SMCI

SCA since launch: paid 12.8%, price +2.9%, total +17.8%, SMCI +7.5%, +10.3 pts.

SMCI

+7.5%

SCA

+17.8%

12.8% of it arrived as cash

10.3 pts ahead of SMCI

Total return, distributions reinvested

10.3 pts ahead of SMCI

SCA since launch: paid 12.8%, price +2.9%, total +17.8%, SMCI +7.5%, +10.3 pts.

SMCI

+7.5%

SCA

+17.8%

12.8% cash

10.3 pts ahead of SMCI

12.8% of it arrived as cash. Both charts share one scale, 0 to +17.8%. SCA since launch: paid 12.8%, price +2.9%, total +17.8%, SMCI +7.5%, +10.3 pts.

Performance, window by window

Total returnCash paidAgainst the benchmark
WindowDACLSCADACLSCADACLSCA
3 monthsnot published+38.2%not published8.0%not published−10.4 pts
Since launch
DACL Aug 2026 · SCA May 2026
+0.5%+17.8%0.6%12.8%+2.2 pts+10.3 pts

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

On the same fields

DACL
REX Defensive Autocallable Income ETF · Autocallable on SPY
SCA
GraniteShares Autocallable SMCI ETF · Autocallable on SMCI, paying monthly
Issuer REX GraniteShares
Strategy autocallable autocallable
Benchmark S&P 500 (SPY), used as a default proxy Super Micro (SMCI)
Pays not established monthly
Payout rate, annualized 6.6% 36.6%
Expense ratio 0.65% 1.07%
Cash paid, 1 year 0.6% (since launch on Aug 13, 2026) 12.8% (since launch on May 27, 2026)
Price change, 1 year −0.1% +2.9%
Total return, 1 year +0.5% (since launch on Aug 13, 2026) +17.8% (since launch on May 27, 2026)
Benchmark return, 1 year −1.7% +7.5%
Ahead or behind +2.2 pts +10.3 pts
Return of capital, latest estimate not published 29%
Age 48 days 126 days
Net assets $4m $2m

DACL and SCA on the same fields, as of Sep 30, 2026. Source: ETFIQ.

DACL in plain words

Over the period since launch on Aug 13, 2026 to Sep 30, 2026, DACL paid 0.6% of its starting value in cash distributions while its price fell 0.1%. With every distribution reinvested, the fund returned +0.5%. S&P 500 (SPY), used as a default proxy returned −1.7% over the same days, so a holder was ahead by 2.2 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 6.6%, paid periodically.

SCA in plain words

Over the period since launch on May 27, 2026 to Sep 30, 2026, SCA paid 12.8% of its starting value in cash distributions while its price rose 2.9%. With every distribution reinvested, the fund returned +17.8%. Super Micro (SMCI) returned +7.5% over the same days, so a holder was ahead by 10.3 pts. At its price on Sep 30, 2026 the latest distribution annualizes to 36.6%, paid monthly. GraniteShares estimates that 29% 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, DACL or SCA?
DACL charges 0.65% a year and SCA charges 1.07%, so DACL is cheaper. Fees come from each fund's prospectus.
Cite this page

ETFIQ, DACL against SCA, data as of Sep 30, 2026. https://etfiq.com/compare/income/dacl-vs-sca

Open data

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