Compare Hershey Co (HSY) vs NEOS S&P 500 High Income ETF (SPYI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Hershey Co vs NEOS S&P 500 High Income ETF — how do they compare? Hershey Co trades at $169.84 (market cap $34.83B), while NEOS S&P 500 High Income ETF trades at $53.44. The key difference: Hershey Co pays a 3.38% 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, Hershey Co nearer its low. Which is the better fit depends on your goals.
| HSY | SPYI | |
|---|---|---|
Market Cap | $34.83B | — |
Sector | Consumer Staples | Income / Options Overlay |
52-Week High | $236.28 | $54.07 |
52-Week Low | $162.31 | $47.98 |
Enterprise Value | $39.63B | — |
Dividend Yield | 3.38% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Hershey (HSY) trades at $171.72, showing modest daily gains of 0.18%. The stock faces bearish technical signals with recent price action near support at $170, while fundamentals reveal mixed performance with strong earnings beats but compressed margins. Recent Q1 2026 EPS of $2.35 exceeded expectations by 15%, though net income margin declined to 7.55% in 2025 from 19.82% in 2024 due to cocoa cost pressures. The company maintains solid cash flow generation with $2.28B operating cash flow in 2025.
Hershey presents a cautious opportunity as margin recovery begins in Q2 2026, with analyst consensus target of $208.42 offering 21% upside. However, volume concerns and competitive pressures pose near-term risks. The 3.3% dividend yield provides income support while investors await evidence of sustained sales volume recovery and margin expansion in upcoming earnings.
SPYI, the NEOS S&P 500 High Income ETF, trades at $53.01, down 0.11% on the day. The technical outlook is bearish based on moving averages, with neutral oscillators. The fund has surpassed $10 billion in assets under management and delivers consistent monthly distributions, with a yield around 12%. Recent news highlights its appeal for income-focused investors seeking S&P 500 exposure with lower volatility.
The outlook for SPYI is supported by strong investor demand for high-yield income solutions, though the bearish technical signal and reliance on options strategies present risks. The fund's ability to generate income without significant NAV erosion remains a key advantage in volatile markets.
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 Hershey Co
Hershey is a leading confectionery manufacturer in the U.S. (around a $25 billion market), controlling around 46% of the domestic chocolate space (per IRI). Beyond its namesake label, the firm's mix has expanded over the last 85 years and now consists of 100 brands, including Reese's, Kit Kat, Kisses, and Ice Breakers. Hershey's products are sold in about 80 countries, albeit with just a high-single-digit percentage of sales coming from markets outside the U.S., including Brazil, India, and Mexico. The firm has sought inorganic opportunities to extend its reach beyond its core confection business, adding Amplify Snack Brands and its Skinny Pop ready-to-eat popcorn to its mix and Pirate Brands (including the Pirate's Booty, Smart Puffs, and Original Tings brands) over the past few years.
Read more on HSY →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 →
