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Data as of .

CAIQ vs SCLZ: which paid, and which earned it?

CAIQ and SCLZ both write options for income.

Calamos Nasdaq Autocallable Income ETF and Swan Enhanced Dividend Income ETF.

13.7%CAIQ cash paid, 1 year
8.4%SCLZ cash paid, 1 year
+16.7%CAIQ total return, 1 year
+13.2%SCLZ total return, 1 year
CAIQ7 pts behind QQQ · since launch to Sep 18, 2026
QQQ+23.6%CAIQ+16.7%13.7% of it arrived as cash7 pts behind QQQTotal return, distributions reinvestedQQQ+23.6%CAIQ+16.7%7 pts behind QQQ
SCLZ14 pts behind SCHD · 1 year to Sep 18, 2026
SCHD+27.2%SCLZ+13.2%8.4% of it arrived as cash14 pts behind SCHDTotal return, distributions reinvestedSCHD+27.2%SCLZ+13.2%14 pts behind SCHD

What they hold in common

By the books each fund has filed, CAIQ and SCLZ hold 0% of their money in the same securities at the same weight.

Only in each
Only in CAIQOnly in SCLZ
Calamos Tax-Aware Collateral ETF 100.00%MICRON TECHNOLOGY INC 7.89%
APPLE INC 6.15%
NVIDIA CORP 5.99%
ALPHABET INC 5.18%
ADVANCED MICRO DEVICES INC 5.14%
BROADCOM INC 4.71%
ELI LILLY & COMPANY 3.86%
AMAZON.COM INC 3.75%

Weight overlap is an ETFIQ calculation: for every security both funds hold, the smaller of the two weights, summed. Above 50%, holding both is close to holding one of them twice. Holdings dated Apr 30, 2026 and Jun 30, 2026.

Performance, window by window

CAIQ and SCLZ over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnCash paidAgainst the benchmark
CAIQSCLZCAIQSCLZCAIQSCLZ
3 months−0.5%+2.9%4.3%2.1%+1.9 pts−3.6 pts
6 months+16.5%+14.2%9.5%3.8%−7.7 pts+1.6 pts
1 yearnot published+13.2%not published8.4%not published−14.0 pts
Since launch+16.7%+36.5%13.7%19.6%−7.0 pts−6.3 pts
Open the live comparison on ETFIQ
CAIQ and SCLZ on the same fields, as of Sep 18, 2026. Source: ETFIQ.
CAIQ
Calamos Nasdaq Autocallable Income ETF
Option income on QQQ, paying monthly
SCLZ
Swan Enhanced Dividend Income ETF
Dividend stocks with call overlay on SCHD, paying monthly
IssuerCalamosSwan
Strategyoption incomedividend stocks with call overlay
BenchmarkNasdaq-100 (QQQ)US dividend stocks (SCHD), used as the dividend proxy
Paysmonthlymonthly
Payout rate, annualized17.9%8.5%
Expense ratio0.74%0.79%
Cash paid, 1 year13.7% (since launch on Nov 20, 2025)8.4%
Price change, 1 year+2.1%+4.1%
Total return, 1 year+16.7% (since launch on Nov 20, 2025)+13.2%
Benchmark return, 1 year+23.6%+27.2%
Ahead or behind−7.0 pts−14.0 pts
Return of capital, latest estimatenot publishednot published
Age302 days934 days
Net assets$167m$20m

CAIQ in plain words

Over the period since launch on Nov 20, 2025 to Sep 18, 2026, CAIQ paid 13.7% of its starting value in cash distributions while its price rose 2.1%. With every distribution reinvested, the fund returned +16.7%. Nasdaq-100 (QQQ) returned +23.6% over the same days, so a holder was behind by 7.0 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 17.9%, paid monthly.

SCLZ in plain words

Over the year to Sep 18, 2026, SCLZ paid 8.4% of its starting value in cash distributions while its price rose 4.1%. With every distribution reinvested, the fund returned +13.2%. US dividend stocks (SCHD), used as the dividend proxy returned +27.2% over the same days, so a holder was behind by 14.0 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 8.5%, paid monthly.

Questions people ask

Which is cheaper, CAIQ or SCLZ?
CAIQ charges 0.74% a year and SCLZ charges 0.79%, so CAIQ is cheaper. Fees come from each fund's prospectus.

Other comparisons

Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

CAIQ against SCLZ, ETFIQ, data as of Sep 18, 2026. Every figure is calculated from a named public source; the method is at etfiq.com/methodology. A comparison is not a recommendation.

Cite this page. ETFIQ, CAIQ against SCLZ, data as of Sep 18, 2026. https://etfiq.com/compare/income/caiq-vs-sclz Free to use with attribution; the underlying files are at Open data.

How every figure is computed · Standards and sources