iShares S&P 500 Consumer Staples Sector UCITS Acc (2B7D.XETRA)

10-Year Study

2B7D.XETRA · DE · ETF

About iShares S&P 500 Consumer Staples Sector UCITS Acc (2B7D.XETRA)

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

Fundamental Snapshot

iShares S&P 500 Consumer Staples Sector UCITS Acc (2B7D.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 1.60x sales and 5.63x book value.

Executive Summary: iShares S&P 500 Consumer Staples Sector UCITS Acc has compounded at 7.2% annually over the last 10 years, with a maximum drawdown of 17.2% and an annualized volatility of 19.1%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.2%

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
2017-03-01$10,000
2017-04-01$9,869
2017-05-01$9,854
2017-06-01$9,495
2017-07-01$9,230
2017-08-01$8,940
2017-09-01$9,060
2017-10-01$9,030
2017-11-01$9,275
2017-12-01$9,484
2018-01-01$9,299
2018-02-01$8,756
2018-03-01$8,461
2018-04-01$8,280
2018-05-01$8,508
2018-06-01$8,910
2018-07-01$9,155
2018-08-01$9,274
2018-09-01$9,422
2018-10-01$9,762
2018-11-01$9,701
2018-12-01$8,874
2019-01-01$9,423
2019-02-01$9,740
2019-03-01$10,123
2019-04-01$10,409
2019-05-01$10,241
2019-06-01$10,531
2019-07-01$11,125
2019-08-01$11,366
2019-09-01$11,669
2019-10-01$11,310
2019-11-01$11,634
2019-12-01$11,757
2020-01-01$11,959
2020-02-01$10,865
2020-03-01$10,589
2020-04-01$11,194
2020-05-01$11,041
2020-06-01$10,884
2020-07-01$11,097
2020-08-01$11,533
2020-09-01$11,574
2020-10-01$11,353
2020-11-01$11,774
2020-12-01$11,714
2021-01-01$11,359
2021-02-01$11,213
2021-03-01$12,525
2021-04-01$12,344
2021-05-01$12,396
2021-06-01$12,744
2021-07-01$13,120
2021-08-01$13,333
2021-09-01$13,120
2021-10-01$13,561
2021-11-01$13,895
2021-12-01$15,002
2022-01-01$14,877
2022-02-01$14,763
2022-03-01$15,249
2022-04-01$16,643
2022-05-01$15,318
2022-06-01$15,288
2022-07-01$16,224
2022-08-01$16,335
2022-09-01$15,551
2022-10-01$16,555
2022-11-01$16,469
2022-12-01$15,828
2023-01-01$15,228
2023-02-01$15,394
2023-03-01$15,589
2023-04-01$15,897
2023-05-01$15,508
2023-06-01$15,540
2023-07-01$15,748
2023-08-01$15,501
2023-09-01$15,176
2023-10-01$14,903
2023-11-01$14,972
2023-12-01$15,224
2024-01-01$15,856
2024-02-01$16,200
2024-03-01$16,759
2024-04-01$16,740
2024-05-01$16,701
2024-06-01$17,125
2024-07-01$17,273
2024-08-01$17,763
2024-09-01$17,875
2024-10-01$17,895
2024-11-01$19,172
2024-12-01$18,546
2025-01-01$18,972
2025-02-01$19,744
2025-03-01$18,665
2025-04-01$17,976
2025-05-01$18,316
2025-06-01$17,310
2025-07-01$17,497
2025-08-01$17,249
2025-09-01$16,996
2025-10-01$16,869
2025-11-01$17,439
2025-12-01$17,041
2026-01-01$17,852
2026-02-01$19,492
2026-03-01$18,499
2026-04-01$18,748
2026-05-01$18,262
2026-06-01$18,826
2026-07-01$19,071
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
17.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.28
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.47
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +32.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -8.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
56%

Annual Returns

View full annual returns data
YearReturn
2018-6.4%
201932.5%
2020-0.4%
202128.1%
20225.5%
2023-3.8%
202421.8%
2025-8.1%
202611.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.89.2-5.11.3-2.63.11.311.9%
20252.34.1-5.5-3.71.9-5.51.1-1.4-1.5-0.73.4-2.3-8.1%
20244.22.23.5-0.1-0.22.50.92.80.60.17.1-3.321.8%
2023-3.81.11.32.0-2.40.21.3-1.6-2.1-1.80.51.7-3.8%
2022-0.8-0.83.39.1-8.0-0.26.10.7-4.86.5-0.5-3.95.5%
2021-3.0-1.311.7-1.40.42.83.01.6-1.63.42.58.028.1%
20201.7-9.2-2.55.7-1.4-1.42.03.90.4-1.93.7-0.5-0.4%
20196.23.43.92.8-1.62.85.62.22.7-3.12.91.132.5%
2018-2.0-5.8-3.4-2.12.84.72.81.31.63.6-0.6-8.5-6.4%
2017-1.3-0.2-3.6-2.8-3.11.3-0.32.72.2-5.2%

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
19.1%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-0.4%
VEA.US-0.0%
VWO.US0.0%
QQQ.US12.7%
VTV.US29.9%
IJR.US-0.9%
QUAL.US-2.5%
SHV.US7.4%
TLT.US-0.4%
LQD.US0.6%
HYG.US-0.1%
GLD.US1.0%
USO.US0.6%
VNQ.US5.9%
BTC-USD.CC0.1%
CPER.US0.3%
VIX.INDX1.7%
UUP.US8.8%
TIP.US0.7%
Idiosyncratic34.8%

iShares S&P 500 Consumer Staples Sector UCITS Acc 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 Ratio22.45x
Portfolio Forward P/E22.45x
Portfolio Price-to-Sales1.60x
Portfolio Price-to-Book5.63x

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 →
+0.7%
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 →
+4.2%
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 →
5.6% 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 →
51
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+0.9%
50.0% retracement+3.1%
61.8% retracement+5.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

2B7D.XETRA — 10-Year Return & Risk Profile

iShares S&P 500 Consumer Staples Sector UCITS Acc (2B7D.XETRA) has delivered solid annualized growth of 7.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $19,971, representing a total return of 100%. Over this period, 2B7D.XETRA generated positive annual returns in 6 out of 10 calendar years (56%).

The best single calendar year for 2B7D.XETRA was 2019, with a return of +32.5%. The worst year was 2025, when the asset declined 8.1%. 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 0.28 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.

2B7D.XETRA — Drawdown, Volatility & Downside Risk

2B7D.XETRA's annualized volatility of 12.5% is classified as low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 17.2% — a notable pullback. 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 17% drawdown, for example, requires a 21% gain just to break even.

When evaluating 2B7D.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.

2B7D.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 29.9% of 2B7D.XETRA's return variance to US Value Equities. This means that when US Value Equities rises or falls sharply, 2B7D.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 2B7D.XETRA allocation.

The second-largest macro driver is US Growth / Technology, contributing 12.7% of variance. 34.8% of 2B7D.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 2B7D.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 2B7D.XETRA alongside assets with low correlation to US Value Equities — 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 Consumer Staples Sector UCITS Acc a high-risk investment?

iShares S&P 500 Consumer Staples Sector UCITS Acc (2B7D.XETRA) has an annualized volatility of 19.1% and experienced a maximum drawdown of 17.2% over the last 10 years. Its primary macro risk driver is VTV.US.

What is the 10-year return of 2B7D.XETRA?

Over the past 10 years, 2B7D.XETRA has generated a Compound Annual Growth Rate (CAGR) of 7.2%. A $10,000 investment would have grown to approximately $19,971. It has had a positive return in 56% of calendar years.

What is 2B7D.XETRA's Sharpe ratio?

2B7D.XETRA has a Sharpe ratio of 0.28 and a Sortino ratio of 0.47 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 2B7D.XETRA's dividend yield?

2B7D.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 2B7D.XETRA above its 200-day moving average?

2B7D.XETRA is currently above its 200-day moving average by 4.2%. 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.

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