XSD News & Analysis

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XSD ETF Reports 171% Gain During AI Chip Boom in One Year
TechBullish6/3/2026

XSD ETF Reports 171% Gain During AI Chip Boom in One Year

The SPDR S&P Semiconductor ETF (XSD) increased by 171% over one year, with a closing price of $613.05 on May 29, 2026, up from $226.42 the previous year. This growth transformed a $10,000 investment into approximately $27,000. The ETF's equal-weight structure enabled 44 holdings to contribute collectively, with top holding Marvell Technology (MRVL) surging 223% in the same period. In addition, Q1 2026 saw worldwide semiconductor revenue reach $298.5 billion, marking a 25% increase from the previous quarter.

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Semiconductor ETFs Surge in 2026 with 10 Up Over 50% Year-to-Date
TechBullish5/19/2026

Semiconductor ETFs Surge in 2026 with 10 Up Over 50% Year-to-Date

In 2026, semiconductor ETFs are showing strong performance, with 120 out of over 5,200 exchange-traded products rising at least 50% year-to-date. Notably, the State Street SPDR S&P Semiconductor ETF (XSD) is managing a 2% weight in Nvidia (NVDA), while outperforming larger competitors. This $3 billion ETF, which turned 20 in January, has a weighted average market cap of its holdings at $270.7 billion, well below the $1.4 trillion of the largest chip ETF. Its unique equal-weighted strategy could explain this outperformance among chip stocks.

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XSD Returns 1,138% Over Ten Years, Trailing SOXX in AI Growth
EarningsBearish5/4/2026

XSD Returns 1,138% Over Ten Years, Trailing SOXX in AI Growth

The SPDR S&P Semiconductor ETF (XSD) has achieved a return of 1,138% over the past ten years, reflecting a 156% increase in the past year and a 55% gain year-to-date. XSD employs an equal-weight methodology, allowing all 44 U.S.-listed semiconductor holdings equal influence, with top positions accounting for only 29% of assets. The fund has an expense ratio of 0.35% and a P/E ratio of 23. However, its five-year return of 186% lags behind cap-weighted peers like the iShares Semiconductor ETF (SOXX) due to concentration in AI-related leaders. This structural strategy impacts performance during cycles dominated by a few large companies.

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