Compare Consolidated Edison, Inc. (ED) vs NEOS S&P 500 High Income ETF (SPYI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Consolidated Edison, Inc. vs NEOS S&P 500 High Income ETF — how do they compare? Consolidated Edison, Inc. trades at $111.94 (market cap $40.65B), while NEOS S&P 500 High Income ETF trades at $53.52. The key difference: Consolidated Edison, Inc. pays a 3.15% dividend while NEOS S&P 500 High Income ETF pays none. Which is the better fit depends on your goals.
| ED | SPYI | |
|---|---|---|
Market Cap | $40.65B | — |
Sector | Utilities | Income / Options Overlay |
52-Week High | $115.46 | $54.07 |
52-Week Low | $95.37 | $47.98 |
Enterprise Value | $67.68B | — |
Dividend Yield | 3.15% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Consolidated Edison (ED) trades at $111.58, down 0.32% on the day, with a bullish technical signal and strong fundamental performance. The utility company reported Q3 and Q4 2025 earnings beats but missed Q1 2026 estimates, with Q2 2026 results due August 6. ED maintains solid profitability with 12.52% net income margin and $2.02B net income in 2025, supported by $4.8B operating cash flow. Recent news highlights grid upgrades for AI data center demand and electric school bus fleet expansion.
ED offers stable dividend income with a 3.3% yield and 52-year growth streak, but faces mixed analyst sentiment (62.96% hold rating) and consensus price target of $103.50 below current price. Key risks include rising interest expenses ($1.23B in 2025) and capital-intensive grid modernization. The stock presents value for income investors despite near-term execution challenges.
SPYI, the NEOS S&P 500 High Income ETF, trades at $53.55, showing minimal daily movement. The fund has surpassed $10 billion in assets under management, driven by strong investor demand for its high-yield monthly income strategy. Technical indicators present a mixed but leaning bullish picture, with moving averages signaling strength but oscillators in neutral territory. Recent news highlights the fund's consistent monthly distributions and its comparison to peers like JEPI in the covered-call ETF space.
The outlook for SPYI is tied to its ability to sustain high monthly distributions without eroding its net asset value. The primary opportunity lies in its appeal to income-focused investors seeking S&P 500 exposure with enhanced cash flow. Key risks include the fund's reliance on options strategies, potential for return-of-capital distributions, and the impact of its 0.68% expense ratio on long-term returns.
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 Consolidated Edison, Inc.
Con Ed is a holding company for Consolidated Edison of New York, or CECONY, and Orange & Rockland, or O&R. These utilities provide steam, natural gas, and electricity to customers in southeastern New York—including New York City—and small parts of New Jersey. The two utilities will generate nearly all of Con Ed's earnings once it closes the sale of its clean energy business to RWE. Con Ed's clean energy business owns the second-largest portfolio of utility-scale solar projects in the U.S. Following the sale, Con Ed's only non-utility earnings will come from investments in gas and electric transmission.
Read more on ED →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 →
