In seeking to track the performance of the SP Health Care Equipment Select Industry Index , the fund employs a sampling strategy. SP Healthcare is traded on NYSEARCA Exchange in the United States. With a beta of 1.26, SPDR SAMPP tends to amplify broader market movements, but persistent negative alpha suggests that this additional volatility has not translated into excess returns relative to Dow Jones; It is managed by SSgA.
Market participants are valuing SPDR SAMPP at $79.39 as of May 6, 2026, marking a 1.08% decrease for the day. Quantitative distress indicators imply that SPDR SAMPP faces a relatively small probability of significant NAV decline with odds near 9%. SPDR SAMPP has delivered negative risk-adjusted returns over the past 90 trading days. The performance scores are calculated from February 5, 2026 through May 6, 2026. Learn more.
SPDR SAMPP Health [XHE] is traded in USA. The fund is classified under the Health category within the SPDR State Street Global Advisors family. The entity is thematically classified as Health Care ETFs. SPDR SAMPP Health at this time has $381.26 million in net assets. The total return for the last 3 years is -5.9%. SPDR SAMPP is an operator in the health segment where revenue is driven by core operating activity and end-market demand. XHE has a beta of 1.2613. As the market goes up, XHE tends to outperform it. However, if the market returns are negative, SPDR SAMPP tends to underperform. SPDR SAMPP financial stability analysis
Estimating a fair return for SPDR SAMPP begins with the Capital Asset Pricing Model framework. Alpha measures excess performance relative to the benchmark, while beta quantifies market sensitivity. The Capital Asset Pricing Model is the most widely used tool for determining SPDR SAMPP market risk premium.
This analysis covers sixty-one data points across the selected time horizon. The Inverse Tangent (Arctangent) transformation applies the arctangent function to SPDR SAMPP Health's price series, compressing large price values into a bounded range. This can normalize extreme price movements and reveal underlying directional shifts.
SPDR SAMPP's alert system, aligned with the fund's Health Care focus, turns scattered signals into a structured checklist. A concise alert layer improves discipline because it reduces the chance of ignoring material developments.
SPDR SAMPP Health generated a negative expected return over the last 90 days
Viewing SPDR SAMPP through a thematic lens within Health places the fund inside a wider investable opportunity set. From SSgA, thematic overlap between SPDR SAMPP and related ETFs can amplify both upside and drawdown risk.
SPDR SAMPP Health holder mix determines how liquidity and price discovery behave during market stress. Ownership mix should still be evaluated through filings, holder turnover, and governance disclosures. The business currently sits in the its sector and the its industry. The holder map for SPDR SAMPP Health is informative when paired with volume trends and short-interest data.
Institutional context for SPDR SAMPP Health matters most alongside valuation and volatility. Revenue scale should be reviewed against peers and reporting history. SPDR SAMPP Health holder data is best used to understand governance dynamics and liquidity depth.
Predictive Daily Indicators
For SPDR SAMPP with a 1.47 beta, daily indicators reveal whether a price move is gaining strength or fading. At a beta, the best intraday setups for SPDR SAMPP combine these signals with strict risk limits.
Return projections for SPDR SAMPP Health within rely on smoothing, regression, and moving-average techniques. For SPDR SAMPP with 381.3 M in assets, financial data rarely stays stable. Forecast models are most informative when re-evaluated regularly.
Holdings concentration and factor tilts shape risk exposure across cycles. The current allocation is approximately 100.0% equities. It is classified under Health within the SPDR State Street Global Advisors family. Some cyclical sensitivity may emerge during periods of macroeconomic volatility.
Methodology
Unless otherwise specified, data for SPDR SAMPP Health is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. SPDR SAMPP Health market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Indicative intraday values (IIV), where published, may provide additional context for premium or discount behavior relative to reported NAV. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
SPDR SAMPP Health may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Editorial review and methodology oversight provided by: Ellen Johnson, Member of Macroaxis Editorial Board
More Resources for SPDR SAMPP ETF Analysis
The market price of SPDR SAMPP Health is influenced by its net asset value (NAV), which reflects the value of SPDR SAMPP underlying holdings.
Price and NAV for SPDR SAMPP are related but not identical, and they can diverge during volatile periods. Context can include expense ratio, holdings concentration, performance attribution, and liquidity measures.