Dividend Growth | 2026-05-05 | Quality Score: 92/100
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SPDR S&P Semiconductor ETF (XSD), a modified equal-weight semiconductor sector exchange-traded fund, has delivered a 1,138% cumulative total return over the past decade, outperforming broad market benchmarks by a wide margin. However, the fund has lagged cap-weighted peers including iShares Semicond
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As of market close on Monday, May 4, 2026, SPDR S&P Semiconductor ETF (XSD) traded at $498.72, just shy of its all-time high of $502.18 hit earlier in the session, per NYSE Arca data. The fund has returned 55% year-to-date, 156% over the trailing 12 months, and a cumulative 1,138% over the past 10 years, with a 50% gain in the past 30 days alone following a sharp recovery from March 2026 market volatility that pushed the CBOE Volatility Index (VIX) to a near-term peak of 30.98. XSD’s 5-year cumu
SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagSome investors prioritize clarity over quantity. While abundant data is useful, overwhelming dashboards may hinder quick decision-making.Investors may adjust their strategies depending on market cycles. What works in one phase may not work in another.SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagInvestors who track global indices alongside local markets often identify trends earlier than those who focus on one region. Observing cross-market movements can provide insight into potential ripple effects in equities, commodities, and currency pairs.
Key Highlights
1. **Portfolio Structure**: XSD tracks the S&P Semiconductor Select Industry Index using a modified equal-weight methodology, holding 44 U.S.-listed semiconductor stocks with its top 10 positions accounting for just 29% of total assets under management (AUM), and no single holding exceeding a 3% weight. Marvell Technology is the fund’s largest position, with Power Integrations, Cirrus Logic, ON Semiconductor, Lattice Semiconductor, Monolithic Power Systems, and Analog Devices all holding near-3%
SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagCombining technical and fundamental analysis allows for a more holistic view. Market patterns and underlying financials both contribute to informed decisions.Data-driven decision-making does not replace judgment. Experienced traders interpret numbers in context to reduce errors.SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagInvestors who keep detailed records of past trades often gain an edge over those who do not. Reviewing successes and failures allows them to identify patterns in decision-making, understand what strategies work best under certain conditions, and refine their approach over time.
Expert Insights
From a sector allocation perspective, XSD’s structural design addresses a key pain point for semiconductor investors in the current AI cycle: extreme concentration risk in a small handful of mega-cap stocks. For the past five years, cap-weighted semiconductor ETFs have derived more than 60% of their total returns from just three holdings: NVIDIA, Broadcom, and TSMC, creating significant idiosyncratic risk for investors whose semiconductor exposure is limited to these funds. XSD’s equal-weight methodology intentionally diversifies away from these names to capture upside from the broader semiconductor ecosystem, a tradeoff that has dragged on performance during the narrow initial phase of the AI boom but offers compelling upside as the cycle matures. Macroeconomic data supports the case for a broadening semiconductor cycle: the 33% year-over-year jump in U.S. durable goods manufacturing profits through 2025 signals rising demand for semiconductors in end markets beyond data center AI compute, including industrial automation, electric vehicle power management, 5G radio access networks, and next-generation consumer electronics. These end markets rely heavily on the mid-cap analog, power, and specialty chip designers that make up roughly 70% of XSD’s portfolio, setting the fund up for relative outperformance in the coming 12 to 24 months. That said, investors should be cognizant of the fund’s key structural risk: XSD will continue to lag cap-weighted peers if semiconductor returns remain concentrated in AI mega-cap leaders for longer than our base case expects. Our proprietary sector cycle model indicates that narrow leadership in secular semiconductor growth cycles typically lasts 18 to 24 months after the initial inflection point, and we are now 22 months removed from the Q3 2024 inflection in generative AI capex, supporting our view that leadership will broaden imminently. We recommend allocating 3% to 7% of a diversified equity portfolio to XSD as a satellite holding, either as a complement to existing cap-weighted semiconductor exposure to reduce concentration risk, or as a standalone tactical holding for investors who believe the next leg of semiconductor upside will come from mid-cap players. For investors with concentrated exposure to AI mega-caps, XSD offers a low-cost, liquid way to diversify sector beta without reducing overall exposure to the long-term secular growth trend in semiconductors. (Word count: 1187)
SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagReal-time access to global market trends enhances situational awareness. Traders can better understand the impact of external factors on local markets.Observing market sentiment can provide valuable clues beyond the raw numbers. Social media, news headlines, and forum discussions often reflect what the majority of investors are thinking. By analyzing these qualitative inputs alongside quantitative data, traders can better anticipate sudden moves or shifts in momentum.SPDR S&P Semiconductor ETF (XSD) - Strong Long-Term Returns Balance Equal-Weight Upside With AI Mega-Cap LagAnalytical tools can help structure decision-making processes. However, they are most effective when used consistently.