Data as of .
GPIQ vs MAGY: which paid, and which earned it?
Over the year MAGY paid 26.5% of its price in cash against GPIQ’s 11.0%, though GPIQ returned more with it reinvested.
ETFIQ Return Stability Score: GPIQ scores higher
Was the payout funded by returns, or by your own capital?
A percentile among the 173 income ETFs writing on an index or proxy. It is a position in a set, not a rating, and neither end of it is a recommendation. All income ETFs ranked by it · How it is computed
What they hold in common
By the books each fund has filed, GPIQ and MAGY hold 0% of their money in the same securities at the same weight.
| Only in GPIQ | Only in MAGY |
|---|---|
| NVIDIA CORP 7.48% | Roundhill Magnificent Seven ETF 100.02% |
| APPLE INC 6.59% | First American Government Obligations Fu 0.36% |
| MICRON TECHNOLOGY INC 5.62% | MAGS 09/25/2026 71.37 C -0.38% |
| AMAZON.COM INC 4.20% | |
| ADVANCED MICRO DEVICES INC 4.11% | |
| MICROSOFT CORP 3.96% | |
| ALPHABET INC 3.54% | |
| TESLA INC 3.17% |
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 Jun 30, 2026 and Sep 18, 2026.
Performance, window by window
| Window | Total return | Cash paid | Against the benchmark | |||
|---|---|---|---|---|---|---|
| GPIQ | MAGY | GPIQ | MAGY | GPIQ | MAGY | |
| 3 months | −1.7% | +3.7% | 2.5% | 6.1% | +0.8 pts | −3.9 pts |
| 6 months | +20.5% | +8.1% | 5.9% | 12.9% | −3.7 pts | −12.7 pts |
| 1 year | +21.4% | +1.8% | 11.0% | 26.5% | −0.4 pts | −9.4 pts |
| Since launch | +98.3% | +25.6% | 38.2% | 42.0% | −15.0 pts | −37.5 pts |
| GPIQ Goldman Sachs Nasdaq-100 Premium Income ETF Covered call on QQQ, paying monthly | MAGY Roundhill Magnificent Seven Covered Call ETF Covered call on MAGS, paying weekly | |
|---|---|---|
| Issuer | Goldman Sachs | Roundhill |
| Strategy | covered call | covered call |
| Benchmark | Nasdaq-100 (QQQ) | Magnificent Seven (MAGS) |
| Pays | monthly | weekly |
| Payout rate, annualized | 10.5% | 19.2% |
| Expense ratio | 0.29% | 0.99% |
| Cash paid, 1 year | 11.0% | 26.5% |
| Price change, 1 year | +9.3% | −25.3% |
| Total return, 1 year | +21.4% | +1.8% |
| Benchmark return, 1 year | +21.8% | +11.2% |
| Ahead or behind | −0.4 pts | −9.4 pts |
| Return of capital, latest estimate | not published | not published |
| Age | 1058 days | 513 days |
| Net assets | $5.8bn | $102m |
GPIQ in plain words
Over the year to Sep 18, 2026, GPIQ paid 11.0% of its starting value in cash distributions while its price rose 9.3%. With every distribution reinvested, the fund returned +21.4%. Nasdaq-100 (QQQ) returned +21.8% over the same days, so a holder was about even. At its price on Sep 18, 2026 the latest distribution annualizes to 10.5%, paid monthly.
MAGY in plain words
Over the year to Sep 18, 2026, MAGY paid 26.5% of its starting value in cash distributions while its price fell 25.3%. With every distribution reinvested, the fund returned +1.8%. Magnificent Seven (MAGS) returned +11.2% over the same days, so a holder was behind by 9.4 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 19.2%, paid weekly.
Questions people ask
- Which paid more, GPIQ or MAGY?
- Over the year to Sep 18, 2026, GPIQ paid 11.0% of its starting price in cash and MAGY paid 26.5%, so MAGY paid more. Cash paid is not the same as money made: the price change matters too.
- Which returned more once distributions are counted, GPIQ or MAGY?
- With every distribution reinvested, GPIQ returned +21.4% and MAGY returned +1.8% over the year to Sep 18, 2026, so GPIQ returned more.
- Which is cheaper, GPIQ or MAGY?
- GPIQ charges 0.29% a year and MAGY charges 0.99%, so GPIQ 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.
Cite this page. ETFIQ, GPIQ against MAGY, data as of Sep 18, 2026. https://etfiq.com/compare/income/gpiq-vs-magy Free to use with attribution; the underlying files are at Open data.