Compare NEOS S&P 500 High Income ETF (SPYI) vs Vertiv Holdings Co (VRT) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
NEOS S&P 500 High Income ETF vs Vertiv Holdings Co — how do they compare? NEOS S&P 500 High Income ETF trades at $53.42, while Vertiv Holdings Co trades at $305.58 (market cap $112.03B). The key difference: Vertiv Holdings Co pays a 0.09% dividend while NEOS S&P 500 High Income ETF pays none, and NEOS S&P 500 High Income ETF is trading nearer its 52-week high, Vertiv Holdings Co nearer its low. Which is the better fit depends on your goals.
| SPYI | VRT | |
|---|---|---|
Sector | Income / Options Overlay | Technology |
52-Week High | $54.07 | $376.23 |
52-Week Low | $47.98 | $121.82 |
Market Cap | — | $112.03B |
Enterprise Value | — | $112.80B |
Dividend Yield | — | 0.09% |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About NEOS S&P 500 High Income ETF
SPYI is an actively managed ETF designed to generate high monthly income through a data-driven call option strategy on the S&P 500 Index. Unlike traditional covered call funds that often forfeit significant upside, SPYI utilizes a 'call spread' approach—selling near-the-money calls while buying out-of-the-money calls—to capture a portion of equity appreciation in rising markets. It prioritizes tax efficiency by utilizing Section 1256 contracts and tax-loss harvesting to provide investors with high-yield monthly distributions.
Read more on SPYI →About Vertiv Holdings Co
Vertiv is a global leader in critical digital infrastructure, providing essential power, cooling, and IT management solutions for data centers, communication networks, and industrial facilities. As the primary provider of advanced thermal management and liquid cooling systems, Vertiv is a central player in the AI revolution, enabling the extreme density and power requirements of next-generation GPU-driven computing.
Read more on VRT →
