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Comparison
QQQI and SPYI share a monthly tax-aware options-overlay design but apply it to Nasdaq-100 and S&P 500 exposure.
QQQI and SPYI come from the same issuer and use related tax-aware option overlays. QQQI applies its strategy to Nasdaq-100 exposure, while SPYI pairs the overlay with the S&P 500. That changes the equity basket and its concentration even though both funds seek monthly option income and tax-aware distribution treatment. As of July 15, 2026, NEOS issuer data showed prices of $55.87 for QQQI and $53.74 for SPYI. Similar share prices do not make their risks or results equivalent.
QQQI's distribution rate was 14.05% and its SEC 30-day yield was negative 0.02%. SPYI's distribution rate was 11.99% and its SEC yield was 0.48%. A distribution rate annualizes recent cash payments; SEC yield uses a standardized net-investment-income calculation. Option proceeds and return-of-capital classifications can make the distribution rate much larger. Neither figure is a total-return measure, and the spread between them is not a prediction of future payouts.
QQQI's latest 12 recurring payout events totaled $7.6270 per share, averaging $0.63558 within a $0.6089-to-$0.6589 range. SPYI's totaled $6.2900, averaging $0.52417 within a $0.5104-to-$0.5353 range. The totals were 4.06% and 2.33% above the preceding 12-event windows, respectively. Both latest stored events were dated June 16, 2026: $0.6572 for QQQI and $0.5310 for SPYI. These event-window changes describe history and are not annual payout-growth forecasts.
Both expense ratios were 0.68%. The stored facts did not provide a numeric trailing return-of-capital share for either fund, so the strategy descriptions should not be converted into an unsupported percentage. Return of capital generally reduces tax basis and can defer tax until a later sale, subject to final tax reporting; it is neither additional return nor automatically evidence of erosion. The central comparison is therefore Nasdaq-100 concentration versus broader S&P 500 exposure within the same issuer's option-income framework.
AI-assisted analysis · generated 2026-07-17 from each fund’s stored, issuer-sourced data · reviewed structure, not advice
Applies to both sides. 0% = tax-advantaged.
NEOS Nasdaq-100 High Income ETF
$0.6572/share · latest payout
assumption — no issuer return history
assumption — variable option-income payout held flat
NEOS S&P 500 High Income ETF
$0.5310/share · latest payout
assumption — no issuer return history
assumption — variable option-income payout held flat
Under these assumptions QQQI leads on both income and ending value. A clean sweep usually means the growth assumptions strongly favor one side — before reading anything into it, ask whether that side’s implied combined payout and price-growth assumptions over 10 years are realistic. Nudge the growth fields above and watch how fast the sweep disappears.
Both sides run the identical deposit schedule with DRIP on and taxes off (0% — set a rate above for taxable accounts). Growth defaults come from each fund’s own record where available (payout history; issuer-reported returns) — but history is not a forecast, and this is not a recommendation.
| QQQI | SPYI | |
|---|---|---|
| Price | $54.99 (as of 2026-07-16) | $53.53 (as of 2026-07-16) |
| Fund type | Covered-call / option-income ETF | Covered-call / option-income ETF |
| Strategy | Options overlay on Nasdaq-100 with tax-aware ROC distributions | Options overlay on S&P 500 with tax-aware ROC distributions |
| Payout frequency | monthly | monthly |
| Distribution rate | 14.1% | 12.0% |
| 30-day SEC yield | 0.0% | 0.5% |
| Expense ratio | 0.68% | 0.68% |
| Trailing ROC share | — | — |
| Latest payout | $0.6572 (ex 2026-06-16) | $0.5310 (ex 2026-06-16) |
| Inception | 2024-01-30 | 2022-08-30 |
QQQI NEOS Funds (issuer data) · SPYI NEOS Funds (issuer data)
The analysis above is AI-assisted, grounded only in each fund’s stored issuer data, and educational — it makes no recommendation and no prediction. Educational scenario modeling only — not investment, tax, or financial advice. Results are hypothetical outcomes of your assumptions, not forecasts.