iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR (2B7A.XETRA)

10-Year Study

2B7A.XETRA · DE · ETF

About iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR (2B7A.XETRA)

Unknown

NA

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

Fundamental Snapshot

iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR (2B7A.XETRA) charges an annual expense ratio of 15.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 2.83x sales and 2.36x book value.

Executive Summary: iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR has compounded at 8.2% annually over the last 10 years, with a maximum drawdown of 22.7% and an annualized volatility of 26.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.9%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.2%

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
2017-04-01$10,000
2017-05-01$10,000
2017-06-01$9,678
2017-07-01$9,579
2017-08-01$9,719
2017-09-01$9,596
2017-10-01$10,088
2017-11-01$10,108
2017-12-01$9,454
2018-01-01$8,757
2018-02-01$8,738
2018-03-01$8,708
2018-04-01$8,939
2018-05-01$9,484
2018-06-01$9,718
2018-07-01$9,791
2018-08-01$10,054
2018-09-01$9,692
2018-10-01$10,437
2018-11-01$10,668
2018-12-01$10,260
2019-01-01$10,354
2019-02-01$11,060
2019-03-01$11,504
2019-04-01$11,573
2019-05-01$11,558
2019-06-01$11,726
2019-07-01$12,035
2019-08-01$12,756
2019-09-01$13,416
2019-10-01$12,941
2019-11-01$12,905
2019-12-01$13,038
2020-01-01$14,126
2020-02-01$12,728
2020-03-01$11,789
2020-04-01$11,925
2020-05-01$12,195
2020-06-01$11,597
2020-07-01$11,757
2020-08-01$11,424
2020-09-01$11,746
2020-10-01$12,490
2020-11-01$12,231
2020-12-01$11,724
2021-01-01$11,996
2021-02-01$11,500
2021-03-01$12,782
2021-04-01$12,959
2021-05-01$12,533
2021-06-01$12,648
2021-07-01$13,293
2021-08-01$13,804
2021-09-01$13,194
2021-10-01$13,826
2021-11-01$14,158
2021-12-01$15,056
2022-01-01$14,620
2022-02-01$14,476
2022-03-01$16,290
2022-04-01$16,586
2022-05-01$16,690
2022-06-01$16,204
2022-07-01$17,615
2022-08-01$18,120
2022-09-01$16,567
2022-10-01$16,454
2022-11-01$16,530
2022-12-01$16,327
2023-01-01$15,442
2023-02-01$15,224
2023-03-01$15,328
2023-04-01$15,503
2023-05-01$14,937
2023-06-01$14,780
2023-07-01$15,132
2023-08-01$14,564
2023-09-01$13,999
2023-10-01$14,094
2023-11-01$14,366
2023-12-01$14,484
2024-01-01$14,424
2024-02-01$14,480
2024-03-01$15,421
2024-04-01$15,887
2024-05-01$16,873
2024-06-01$16,295
2024-07-01$17,164
2024-08-01$17,549
2024-09-01$18,660
2024-10-01$19,029
2024-11-01$20,244
2024-12-01$18,804
2025-01-01$19,558
2025-02-01$19,549
2025-03-01$18,977
2025-04-01$18,097
2025-05-01$18,692
2025-06-01$18,116
2025-07-01$19,543
2025-08-01$18,908
2025-09-01$19,493
2025-10-01$20,339
2025-11-01$20,583
2025-12-01$19,329
2026-01-01$19,178
2026-02-01$21,409
2026-03-01$21,023
2026-04-01$21,204
2026-05-01$20,289
2026-06-01$21,502
2026-07-01$20,779
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
22.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.33
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.60
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +29.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -11.3%
% 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
20188.5%
201927.1%
2020-10.1%
202128.4%
20228.4%
2023-11.3%
202429.8%
20252.8%
20267.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.811.6-1.80.9-4.36.0-3.47.5%
20254.0-0.0-2.9-4.63.3-3.17.9-3.23.14.31.2-6.12.8%
2024-0.40.46.53.06.2-3.45.32.26.32.06.4-7.129.8%
2023-5.4-1.40.71.1-3.6-1.12.4-3.8-3.90.71.90.8-11.3%
2022-2.9-1.012.51.80.6-2.98.72.9-8.6-0.70.5-1.28.4%
20212.3-4.111.11.4-3.30.95.13.8-4.44.82.46.328.4%
20208.3-9.9-7.41.22.3-4.91.4-2.82.86.3-2.1-4.1-10.1%
20190.96.84.00.6-0.11.52.66.05.2-3.5-0.31.027.1%
2018-7.4-0.2-0.32.76.12.50.72.7-3.67.72.2-3.88.5%
20170.0-3.2-1.01.5-1.35.10.2-6.5-5.5%

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
26.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.3%
VEA.US-1.0%
VWO.US0.3%
QQQ.US-1.6%
VTV.US5.4%
IJR.US-3.2%
QUAL.US1.8%
SHV.US64.6%
TLT.US-0.3%
LQD.US0.4%
HYG.US-0.2%
GLD.US1.0%
USO.US0.0%
VNQ.US6.5%
BTC-USD.CC0.5%
CPER.US-0.4%
VIX.INDX1.8%
UUP.US5.6%
TIP.US5.9%
Idiosyncratic9.6%

iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
15.00%
89th pct of 1250 ETFs · median 0.50%
Holdings Count10
Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio19.13x
Portfolio Forward P/E19.13x
Portfolio Price-to-Sales2.83x
Portfolio Price-to-Book2.36x

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 →
+1.2%
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 →
5.0% 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 →
39
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+1.0%
50.0% retracement+3.0%
61.8% retracement+5.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

2B7A.XETRA — 10-Year Return & Risk Profile

iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR (2B7A.XETRA) has delivered solid annualized growth of 8.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $22,051, representing a total return of 121%. Over this period, 2B7A.XETRA generated positive annual returns in 8 out of 10 calendar years (78%).

The best single calendar year for 2B7A.XETRA was 2024, with a return of +29.8%. The worst year was 2023, when the asset declined 11.3%. 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 0.33 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.

2B7A.XETRA — Drawdown, Volatility & Downside Risk

2B7A.XETRA's annualized volatility of 15.1% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 2B7A.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 22.7% — 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 2B7A.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.

2B7A.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 64.6% of 2B7A.XETRA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, 2B7A.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 2B7A.XETRA allocation.

The second-largest macro driver is US Real Estate (REITs), contributing 6.5% of variance. 9.6% of 2B7A.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 2B7A.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 2B7A.XETRA alongside assets with low correlation to Short-Term Interest Rates — 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 S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR a high-risk investment?

iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR (2B7A.XETRA) has an annualized volatility of 26.3% and experienced a maximum drawdown of 22.7% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of 2B7A.XETRA?

Over the past 10 years, 2B7A.XETRA has generated a Compound Annual Growth Rate (CAGR) of 8.2%. A $10,000 investment would have grown to approximately $22,051. It has had a positive return in 78% of calendar years.

What is 2B7A.XETRA's Sharpe ratio?

2B7A.XETRA has a Sharpe ratio of 0.33 and a Sortino ratio of 0.60 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 2B7A.XETRA's dividend yield?

2B7A.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 2B7A.XETRA above its 200-day moving average?

2B7A.XETRA is currently above its 200-day moving average by 1.2%. 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.

Run a Full Backtest on iShares S&P 500 Utilities Sector UCITS ETF USD (Acc) EUR

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest