SPDR® S&P Biotech ETF (XBI.US)

10-Year Study

XBI.US · US · ETF

About SPDR® S&P Biotech ETF (XBI.US)

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In seeking to track the performance of the S&P Biotechnology Select Industry Index (the index), the fund employs a sampling strategy. It generally invests substantially all, but at least 80%, of its total assets in the securities comprising the index....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

SPDR® S&P Biotech ETF (XBI.US) charges an annual expense ratio of 0.35%, manages approximately $10.3B in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 4.83x sales and 4.37x book value.

Executive Summary: SPDR® S&P Biotech ETF has compounded at 8.6% annually over the last 10 years, with a maximum drawdown of 56.7% and an annualized volatility of 32.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+72.2%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+28.3%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.6%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$9,681
2016-09-01$10,685
2016-10-01$9,051
2016-11-01$10,101
2016-12-01$9,543
2017-01-01$10,464
2017-02-01$11,320
2017-03-01$11,183
2017-04-01$11,522
2017-05-01$10,920
2017-06-01$12,467
2017-07-01$12,626
2017-08-01$13,541
2017-09-01$13,989
2017-10-01$13,516
2017-11-01$13,443
2017-12-01$13,721
2018-01-01$15,095
2018-02-01$14,608
2018-03-01$14,192
2018-04-01$14,071
2018-05-01$15,315
2018-06-01$15,408
2018-07-01$15,424
2018-08-01$16,209
2018-09-01$15,530
2018-10-01$12,815
2018-11-01$13,226
2018-12-01$11,625
2019-01-01$13,544
2019-02-01$14,442
2019-03-01$14,669
2019-04-01$13,804
2019-05-01$12,870
2019-06-01$14,210
2019-07-01$13,881
2019-08-01$13,021
2019-09-01$12,354
2019-10-01$13,226
2019-11-01$15,173
2019-12-01$15,410
2020-01-01$14,439
2020-02-01$14,449
2020-03-01$12,547
2020-04-01$15,131
2020-05-01$16,779
2020-06-01$18,141
2020-07-01$17,717
2020-08-01$18,119
2020-09-01$18,071
2020-10-01$18,288
2020-11-01$21,601
2020-12-01$22,858
2021-01-01$24,822
2021-02-01$24,030
2021-03-01$22,031
2021-04-01$22,188
2021-05-01$20,805
2021-06-01$21,990
2021-07-01$20,043
2021-08-01$21,575
2021-09-01$20,417
2021-10-01$20,270
2021-11-01$18,883
2021-12-01$18,183
2022-01-01$15,174
2022-02-01$14,589
2022-03-01$14,597
2022-04-01$11,991
2022-05-01$11,171
2022-06-01$12,062
2022-07-01$13,176
2022-08-01$13,594
2022-09-01$12,882
2022-10-01$13,342
2022-11-01$13,581
2022-12-01$13,480
2023-01-01$14,438
2023-02-01$13,456
2023-03-01$12,377
2023-04-01$13,025
2023-05-01$13,629
2023-06-01$13,513
2023-07-01$13,690
2023-08-01$12,863
2023-09-01$11,860
2023-10-01$10,757
2023-11-01$12,266
2023-12-01$14,504
2024-01-01$14,202
2024-02-01$15,988
2024-03-01$15,414
2024-04-01$13,746
2024-05-01$14,478
2024-06-01$15,079
2024-07-01$16,112
2024-08-01$16,469
2024-09-01$16,072
2024-10-01$15,784
2024-11-01$16,205
2024-12-01$14,650
2025-01-01$15,075
2025-02-01$14,431
2025-03-01$13,194
2025-04-01$13,495
2025-05-01$12,883
2025-06-01$13,492
2025-07-01$13,937
2025-08-01$14,618
2025-09-01$16,307
2025-10-01$18,343
2025-11-01$20,043
2025-12-01$19,909
2026-01-01$20,369
2026-02-01$20,797
2026-03-01$20,856
2026-04-01$21,444
2026-05-01$22,319
2026-06-01$25,864
2026-07-01$24,027
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
56.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.32
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.57
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
27.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +48.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -25.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201743.8%
2018-15.3%
201932.6%
202048.3%
2021-20.4%
2022-25.9%
20237.6%
20241.0%
202535.9%
202620.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.32.10.32.84.115.9-7.120.7%
20252.9-4.3-8.62.3-4.54.73.34.911.612.59.3-0.735.9%
2024-2.112.6-3.6-10.85.34.16.82.2-2.4-1.82.7-9.61.0%
20237.1-6.8-8.05.24.6-0.91.3-6.0-7.8-9.314.018.37.6%
2022-16.6-3.90.1-17.9-6.88.09.23.2-5.23.61.8-0.7-25.9%
20218.6-3.2-8.30.7-6.25.7-8.97.6-5.4-0.7-6.8-3.7-20.4%
2020-6.30.1-13.220.610.98.1-2.32.3-0.31.218.15.848.3%
201916.56.61.6-5.9-6.810.4-2.3-6.2-5.17.114.71.632.6%
201810.0-3.2-2.8-0.98.80.60.15.1-4.2-17.53.2-12.1-15.3%
20179.68.2-1.23.0-5.214.21.37.23.3-3.4-0.52.143.8%
2016-3.210.4-15.311.6-5.5-4.6%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
32.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US72.0%
VEA.US-1.5%
VWO.US-0.8%
QQQ.US-19.0%
VTV.US-11.4%
IJR.US9.0%
QUAL.US6.5%
SHV.US5.2%
TLT.US6.6%
LQD.US-2.4%
HYG.US7.5%
GLD.US0.5%
USO.US1.1%
VNQ.US4.8%
BTC-USD.CC-1.5%
CPER.US-0.5%
VIX.INDX1.4%
UUP.US1.1%
TIP.US2.0%
Idiosyncratic19.4%

SPDR® S&P Biotech ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.35%
37th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
87th pct
larger than 87% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
0.4%
25th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E19.68x
Portfolio Price-to-Sales4.83x
Portfolio Price-to-Book4.37x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+1.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+14.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
10.5% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
1.10
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
36
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+9.8%
50.0% retracement+18.1%
61.8% retracement+27.7%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

XBI.US — 10-Year Return & Risk Profile

SPDR® S&P Biotech ETF (XBI.US) has delivered solid annualized growth of 8.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $22,806, representing a total return of 128%. Over this period, XBI.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for XBI.US was 2020, with a return of +48.3%. The worst year was 2022, when the asset declined 25.9%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.32 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

XBI.US — Drawdown, Volatility & Downside Risk

XBI.US's annualized volatility of 27.0% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in XBI.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 56.7% — a catastrophic peak-to-trough decline. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 57% drawdown, for example, requires a 131% gain just to break even.

When evaluating XBI.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

XBI.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 72.0% of XBI.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, XBI.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their XBI.US allocation.

The second-largest macro driver is US Growth / Technology, contributing 19.0% of variance. 19.4% of XBI.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding XBI.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding XBI.US alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is SPDR® S&P Biotech ETF a high-risk investment?

SPDR® S&P Biotech ETF (XBI.US) has an annualized volatility of 32.9% and experienced a maximum drawdown of 56.7% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of XBI.US?

Over the past 10 years, XBI.US has generated a Compound Annual Growth Rate (CAGR) of 8.6%. A $10,000 investment would have grown to approximately $22,806. It has had a positive return in 70% of calendar years.

What is XBI.US's Sharpe ratio?

XBI.US has a Sharpe ratio of 0.32 and a Sortino ratio of 0.57 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is XBI.US's dividend yield?

XBI.US has an average trailing dividend yield of 0.36%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is XBI.US above its 200-day moving average?

XBI.US is currently above its 200-day moving average by 14.1%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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