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Compare Nebius Group NV (NBIS) vs NEOS S&P 500 High Income ETF (SPYI) Price & Performance

Nebius Group NVTrade
NEOS S&P 500 High Income ETFTrade

Price performance (Past 24H)

Key statistics

Nebius Group NV vs NEOS S&P 500 High Income ETF — how do they compare? Nebius Group NV trades at $226.2 (market cap $59.73B), while NEOS S&P 500 High Income ETF trades at $54.04 (market cap $12.50B). The key difference: Nebius Group NV is far larger — about 4.8× NEOS S&P 500 High Income ETF's market cap, and NEOS S&P 500 High Income ETF is trading nearer its 52-week high, Nebius Group NV nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Nebius Group NV for 24 Days and NEOS S&P 500 High Income ETF for 57 Days on average.

NBISSPYI
Market Cap
$59.73B$12.50B
Volume
21,563,7003,058,962
Sector
TechnologyIncome / Options Overlay
52-Week High
$286.69$54.42
52-Week Low
$73.87$47.98
Typical Hold Time
24 Days57 Days
Enterprise Value
$61.86B—

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Nebius Group NV

NBIS trades at $237.07, down 5.08% today, amid mixed technical signals with a bullish moving average trend but neutral oscillators. The company shows strong revenue growth with 2026 projections reaching $1.4B, though profitability remains challenged with a net margin of 3.13%. Recent acquisitions like Inferize and partnerships with Nvidia and Palantir position NBIS as a key player in AI infrastructure, supported by an 81.82% analyst buy rating and $272.70 consensus price target.

Outlook: NBIS benefits from AI demand and a $37B backlog but faces execution risks from heavy spending ($11.4B investing outflow in 2026) and high valuations (P/E 845). Insider selling and competitive pressures from hyperscalers pose near-term headwinds, though institutional bullishness suggests long-term growth potential if operational targets are met.

NEOS S&P 500 High Income ETF

SPYI trades at $54.01, down 0.13% with a bullish technical outlook from moving averages but neutral oscillators. The ETF maintains consistent monthly dividend distributions around $0.53-$0.54, though recent analysis highlights concerns about principal erosion from covered call strategies. Media coverage focuses heavily on retirement income strategies and the trade-offs between high yields and capital preservation.

The outlook remains cautious as SPYI faces scrutiny over whether its high income distributions come at the expense of long-term capital growth. While technical indicators suggest near-term strength, fundamental concerns about the sustainability of covered call returns and sequence risk for retirees present significant headwinds for investors seeking both income and principal protection.

Returns comparison

Trailing returns across standard periods

Investor sentiment on Pluang

What Pluang investors did over the last 30 days

NBIS
53% Buy47% Sell
Avg holding period · 24 Days
SPYI
67% Buy33% Sell
Avg holding period · 57 Days

Top news

Latest headlines on both assets

About Nebius Group NV

Nebius Group N.V. is a technology company specializing in AI, machine learning, and cloud computing solutions. The company provides a range of enterprise-level cloud services, including large-scale data processing, advanced analytics, and AI model development and deployment. Nebius Group focuses on serving businesses that require high-performance, scalable, and secure infrastructure to handle complex computational tasks and accelerate their digital transformation.

Read more on NBIS →

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 →