iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) (2B70.XETRA)

10-Year Study

2B70.XETRA · DE · ETF

About iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) (2B70.XETRA)

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The investment objective of the Fund is to seek to provide investors with a total return, taking into account both capital and income returns, which reflects the return of the NASDAQ Biotechnology Index.

Source: EODHD Financial Datasets
Fundamentals updated: Apr 26, 2026

Fundamental Snapshot

iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) (2B70.XETRA) charges an annual expense ratio of 35.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 2.97x sales and 4.11x book value.

Executive Summary: iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) has compounded at 8.7% annually over the last 10 years, with a maximum drawdown of 22.8% and an annualized volatility of 20.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+44.4%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.7%

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
2017-11-01$10,000
2017-12-01$10,254
2018-01-01$10,516
2018-02-01$10,170
2018-03-01$9,872
2018-04-01$9,846
2018-05-01$10,580
2018-06-01$10,743
2018-07-01$11,314
2018-08-01$11,953
2018-09-01$11,953
2018-10-01$10,463
2018-11-01$10,868
2018-12-01$9,501
2019-01-01$10,872
2019-02-01$11,247
2019-03-01$11,303
2019-04-01$10,751
2019-05-01$10,281
2019-06-01$10,813
2019-07-01$10,958
2019-08-01$10,639
2019-09-01$10,376
2019-10-01$10,900
2019-11-01$12,368
2019-12-01$12,368
2020-01-01$11,624
2020-02-01$11,553
2020-03-01$11,280
2020-04-01$13,043
2020-05-01$13,472
2020-06-01$13,716
2020-07-01$12,946
2020-08-01$12,875
2020-09-01$13,228
2020-10-01$12,799
2020-11-01$13,704
2020-12-01$14,164
2021-01-01$15,231
2021-02-01$14,802
2021-03-01$14,540
2021-04-01$14,786
2021-05-01$14,151
2021-06-01$15,882
2021-07-01$15,796
2021-08-01$16,357
2021-09-01$16,103
2021-10-01$15,719
2021-11-01$15,305
2021-12-01$15,239
2022-01-01$13,360
2022-02-01$12,997
2022-03-01$13,767
2022-04-01$13,294
2022-05-01$12,636
2022-06-01$13,045
2022-07-01$13,902
2022-08-01$14,054
2022-09-01$14,347
2022-10-01$15,221
2022-11-01$15,041
2022-12-01$14,281
2023-01-01$14,631
2023-02-01$14,039
2023-03-01$13,851
2023-04-01$13,866
2023-05-01$13,904
2023-06-01$13,665
2023-07-01$13,686
2023-08-01$13,976
2023-09-01$13,757
2023-10-01$12,738
2023-11-01$13,058
2023-12-01$14,647
2024-01-01$14,980
2024-02-01$15,155
2024-03-01$15,140
2024-04-01$14,392
2024-05-01$14,924
2024-06-01$15,613
2024-07-01$16,617
2024-08-01$16,144
2024-09-01$15,773
2024-10-01$15,834
2024-11-01$16,235
2024-12-01$15,320
2025-01-01$16,251
2025-02-01$15,852
2025-03-01$14,418
2025-04-01$13,729
2025-05-01$13,274
2025-06-01$13,358
2025-07-01$14,649
2025-08-01$14,761
2025-09-01$15,247
2025-10-01$17,145
2025-11-01$18,518
2025-12-01$18,172
2026-01-01$18,236
2026-02-01$18,892
2026-03-01$18,536
2026-04-01$18,498
2026-05-01$18,940
2026-06-01$21,368
2026-07-01$20,653
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
22.8%
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 →
0.58
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +30.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -7.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
78%

Annual Returns

View full annual returns data
YearReturn
2018-7.4%
201930.2%
202014.5%
20217.6%
2022-6.3%
20232.6%
20244.6%
202518.6%
202613.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.33.6-1.9-0.22.412.8-3.313.7%
20256.1-2.5-9.0-4.8-3.30.69.70.83.312.58.0-1.918.6%
20242.31.2-0.1-4.93.74.66.4-2.8-2.30.42.5-5.64.6%
20232.5-4.0-1.30.10.3-1.70.12.1-1.6-7.42.512.22.6%
2022-12.3-2.75.9-3.4-5.03.26.61.12.16.1-1.2-5.1-6.3%
20217.5-2.8-1.81.7-4.312.2-0.53.6-1.6-2.4-2.6-0.47.6%
2020-6.0-0.6-2.415.63.31.8-5.6-0.52.7-3.27.13.414.5%
201914.43.40.5-4.9-4.45.21.3-2.9-2.55.013.50.030.2%
20182.6-3.3-2.9-0.37.41.55.35.70.0-12.53.9-12.6-7.4%
20172.52.5%

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
20.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US59.8%
VEA.US3.1%
VWO.US-1.5%
QQQ.US-14.4%
VTV.US-7.6%
IJR.US5.0%
QUAL.US8.3%
SHV.US12.2%
TLT.US2.2%
LQD.US2.2%
HYG.US-0.4%
GLD.US0.0%
USO.US2.3%
VNQ.US0.0%
BTC-USD.CC-0.1%
CPER.US-0.1%
VIX.INDX-1.0%
UUP.US6.0%
TIP.US0.0%
Idiosyncratic23.9%

iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
35.00%
97th pct of 1250 ETFs · median 0.50%
Holdings Count10
Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio15.49x
Portfolio Forward P/E15.49x
Portfolio Price-to-Sales2.97x
Portfolio Price-to-Book4.11x

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 →
+1.7%
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 →
+10.1%
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 →
6.7% 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 →
0.00
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 →
32
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+8.5%
50.0% retracement+14.2%
61.8% retracement+20.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

2B70.XETRA — 10-Year Return & Risk Profile

iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) (2B70.XETRA) has delivered solid annualized growth of 8.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $23,100, representing a total return of 131%. Over this period, 2B70.XETRA generated positive annual returns in 8 out of 10 calendar years (78%).

The best single calendar year for 2B70.XETRA was 2019, with a return of +30.2%. The worst year was 2018, when the asset declined 7.4%. 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.

2B70.XETRA — Drawdown, Volatility & Downside Risk

2B70.XETRA's annualized volatility of 18.8% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 2B70.XETRA 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 22.8% — a significant bear-market drawdown. 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 23% drawdown, for example, requires a 29% gain just to break even.

When evaluating 2B70.XETRA 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.

2B70.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 59.8% of 2B70.XETRA's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, 2B70.XETRA 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 2B70.XETRA allocation.

The second-largest macro driver is US Growth / Technology, contributing 14.4% of variance. 23.9% of 2B70.XETRA'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 2B70.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 2B70.XETRA 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 iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) a high-risk investment?

iShares Nasdaq US Biotechnology UCITS ETF USD (Acc) (2B70.XETRA) has an annualized volatility of 20.5% and experienced a maximum drawdown of 22.8% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of 2B70.XETRA?

Over the past 10 years, 2B70.XETRA has generated a Compound Annual Growth Rate (CAGR) of 8.7%. A $10,000 investment would have grown to approximately $23,100. It has had a positive return in 78% of calendar years.

What is 2B70.XETRA's Sharpe ratio?

2B70.XETRA has a Sharpe ratio of 0.32 and a Sortino ratio of 0.58 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 2B70.XETRA's dividend yield?

2B70.XETRA does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is 2B70.XETRA above its 200-day moving average?

2B70.XETRA is currently above its 200-day moving average by 10.1%. 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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