Data as of .
BIGY vs NLSI: which paid, and which earned it?
BIGY and NLSI both write options for income.
What they hold in common
By the books each fund has filed, BIGY and NLSI hold 7% of their money in the same securities at the same weight.
| Holding | BIGY | NLSI |
|---|---|---|
| NVIDIA Corp | 6.66% | 3.17% |
| Mastercard Inc | 2.00% | 2.86% |
| ServiceNow Inc | 0.95% | 1.99% |
| Adobe Inc | 0.78% | 3.37% |
| Intuit Inc | 0.51% | 2.85% |
| Only in BIGY | Only in NLSI |
|---|---|
| Apple Inc 7.21% | Micron Technology Inc 14.23% |
| Amazon.com Inc 4.95% | F5 Inc 3.90% |
| Alphabet Inc 4.84% | Progressive Corp/The 3.80% |
| Advanced Micro Devices Inc 4.19% | Jack Henry & Associates Inc 3.32% |
| Microsoft Corp 3.84% | Universal Health Services Inc 3.23% |
| Meta Platforms Inc 3.70% | Insulet Corp 3.19% |
| JPMORGAN CHASE & CO. 3.24% | Veeva Systems Inc 3.19% |
| Broadcom Inc 3.04% | PTC Inc 3.18% |
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 21, 2026.
Performance, window by window
| Window | Total return | Cash paid | Against the benchmark | |||
|---|---|---|---|---|---|---|
| BIGY | NLSI | BIGY | NLSI | BIGY | NLSI | |
| 3 months | +2.6% | +15.6% | 3.0% | 1.4% | +0.3 pts | +13.3 pts |
| 6 months | +15.0% | +24.6% | 6.9% | 2.8% | −3.0 pts | +6.6 pts |
| 1 year | +13.0% | not published | 12.5% | not published | −3.6 pts | not published |
| Since launch | +28.9% | +19.3% | 21.8% | 4.0% | −2.4 pts | +7.3 pts |
| BIGY YieldMax(R) Target 12(TM) Big 50 Option Income ETF Synthetic covered call on SPY, paying monthly | NLSI NEOS Long/Short Equity Income ETF Option income on SPY, paying monthly | |
|---|---|---|
| Issuer | YieldMax | NEOS |
| Strategy | synthetic covered call | option income |
| Benchmark | S&P 500 (SPY), used as a default proxy | S&P 500 (SPY), used as a default proxy |
| Pays | monthly | monthly |
| Payout rate, annualized | 12.1% | 5.1% |
| Expense ratio | 1.09% | 2.89% |
| Cash paid, 1 year | 12.5% | 4.0% (since launch on Dec 10, 2025) |
| Price change, 1 year | −0.3% | +14.6% |
| Total return, 1 year | +13.0% | +19.3% (since launch on Dec 10, 2025) |
| Benchmark return, 1 year | +16.6% | +12.0% |
| Ahead or behind | −3.6 pts | +7.3 pts |
| Return of capital, latest estimate | 0% | 100% |
| Age | 666 days | 282 days |
| Net assets | $33m | $5m |
BIGY in plain words
Over the year to Sep 18, 2026, BIGY paid 12.5% of its starting value in cash distributions while its price fell 0.3%. With every distribution reinvested, the fund returned +13.0%. S&P 500 (SPY), used as a default proxy returned +16.6% over the same days, so a holder was behind by 3.6 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 12.1%, paid monthly. YieldMax estimates that 0% of the distribution paid Sep 3, 2026 was a return of capital (19a-1 notice, estimated, a tax characterization rather than a measure of erosion).
NLSI in plain words
Over the period since launch on Dec 10, 2025 to Sep 18, 2026, NLSI paid 4.0% of its starting value in cash distributions while its price rose 14.6%. With every distribution reinvested, the fund returned +19.3%. S&P 500 (SPY), used as a default proxy returned +12.0% over the same days, so a holder was ahead by 7.3 pts. At its price on Sep 18, 2026 the latest distribution annualizes to 5.1%, paid monthly. NEOS estimates that 100% of the distribution paid Jul 31, 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, BIGY or NLSI?
- BIGY charges 1.09% a year and NLSI charges 2.89%, so BIGY 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, BIGY against NLSI, data as of Sep 18, 2026. https://etfiq.com/compare/income/bigy-vs-nlsi Free to use with attribution; the underlying files are at Open data.