Data as of .
GRNI vs QQQI: which paid, and which earned it?
GRNI and QQQI both write options for income.
What they hold in common
By the books each fund has filed, GRNI and QQQI hold 32% of their money in the same securities at the same weight.
| Holding | GRNI | QQQI |
|---|---|---|
| Advanced Micro Devices Inc | 4.11% | 4.02% |
| Amazon.com Inc | 2.99% | 4.36% |
| Alphabet Inc | 2.96% | 3.24% |
| Broadcom Inc | 2.90% | 2.70% |
| NVIDIA Corp | 2.46% | 8.58% |
| Apple Inc | 2.39% | 7.79% |
| Microsoft Corp | 2.37% | 5.84% |
| Meta Platforms Inc | 2.23% | 3.14% |
| Tesla Inc | 2.14% | 2.91% |
| Palantir Technologies Inc | 2.36% | 1.79% |
| Costco Wholesale Corp | 2.37% | 1.74% |
| Netflix Inc | 2.79% | 1.33% |
| Only in GRNI | Only in QQQI |
|---|---|
| Quanta Services Inc 3.23% | Micron Technology Inc 5.03% |
| GE Vernova Inc 3.08% | Alphabet Inc 2.99% |
| Arista Networks Inc 2.86% | Intel Corp 2.44% |
| Caterpillar Inc 2.73% | Walmart Inc 2.28% |
| Eaton Corp PLC 2.64% | Cisco Systems Inc 1.92% |
| Bank of New York Mellon Corp/T 2.61% | Applied Materials Inc 1.58% |
| ONEOK Inc 2.49% | Lam Research Corp 1.58% |
| Air Products and Chemicals Inc 2.48% | Palo Alto Networks Inc 1.33% |
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 Sep 21, 2026.
Performance, window by window
| Window | Total return | Cash paid | Against the benchmark | |||
|---|---|---|---|---|---|---|
| GRNI | QQQI | GRNI | QQQI | GRNI | QQQI | |
| 3 months | +2.1% | −0.7% | 2.5% | 3.4% | −0.2 pts | +1.8 pts |
| 6 months | +16.3% | +16.7% | 5.4% | 7.7% | −1.8 pts | −7.5 pts |
| 1 year | not published | +16.4% | not published | 15.2% | not published | −5.3 pts |
| Since launch | +14.5% | +59.6% | 7.8% | 39.9% | −2.1 pts | −12.3 pts |
| GRNI Fundstrat Granny Shots US Large Cap & Income ETF Option income on SPY, paying monthly | QQQI NEOS Nasdaq-100(R) High Income ETF Option income on QQQ, paying monthly | |
|---|---|---|
| Issuer | Fundstrat | NEOS |
| Strategy | option income | option income |
| Benchmark | S&P 500 (SPY) | Nasdaq-100 (QQQ) |
| Pays | monthly | monthly |
| Payout rate, annualized | 10.0% | 14.0% |
| Expense ratio | 0.99% | 0.68% |
| Cash paid, 1 year | 7.8% (since launch on Nov 18, 2025) | 15.2% |
| Price change, 1 year | +6.2% | −0.1% |
| Total return, 1 year | +14.5% (since launch on Nov 18, 2025) | +16.4% |
| Benchmark return, 1 year | +16.6% | +21.8% |
| Ahead or behind | −2.1 pts | −5.3 pts |
| Return of capital, latest estimate | not published | 98% |
| Age | 304 days | 962 days |
| Net assets | $49m | $14.8bn |
GRNI in plain words
Over the period since launch on Nov 18, 2025 to Sep 18, 2026, GRNI paid 7.8% of its starting value in cash distributions while its price rose 6.2%. With every distribution reinvested, the fund returned +14.5%. S&P 500 (SPY) returned +16.6% over the same days, so a holder was behind by 2.1 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 10.0%, paid monthly.
QQQI in plain words
Over the year to Sep 18, 2026, QQQI paid 15.2% of its starting value in cash distributions while its price fell 0.1%. With every distribution reinvested, the fund returned +16.4%. Nasdaq-100 (QQQ) returned +21.8% over the same days, so a holder was behind by 5.3 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 14.0%, paid monthly. NEOS estimates that 98% of the distribution paid Jun 18, 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, GRNI or QQQI?
- GRNI charges 0.99% a year and QQQI charges 0.68%, so QQQI 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, GRNI against QQQI, data as of Sep 18, 2026. https://etfiq.com/compare/income/grni-vs-qqqi Free to use with attribution; the underlying files are at Open data.