iShares Cybersecurity and Tech ETF (IHAK.US)

10-Year Study

IHAK.US · US · ETF

About iShares Cybersecurity and Tech ETF (IHAK.US)

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The fund generally will invest at least 80% of its assets in the component securities of the index and in investments that have economic characteristics that are substantially identical to the component securities of the index and may invest up to 20% of its assets in certain futures, options and swap contracts, cash and cash equivalents. The index is composed of developed and emerging market companies that are involved in cyber security and technology, including cyber security hardware, software, products, and services....

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

Fundamental Snapshot

iShares Cybersecurity and Tech ETF (IHAK.US) charges an annual expense ratio of 0.47%, manages approximately $992.7M in net assets, and maintains a portfolio of 34 holdings. At the portfolio level, its underlying basket trades at 2.50x sales and 4.30x book value.

Executive Summary: iShares Cybersecurity and Tech ETF has compounded at 13.2% annually over the last 10 years, with a maximum drawdown of 29.3% and an annualized volatility of 18.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+17.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+13.2%

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
2019-06-01$10,000
2019-07-01$10,377
2019-08-01$9,802
2019-09-01$9,649
2019-10-01$10,104
2019-11-01$10,668
2019-12-01$10,508
2020-01-01$10,999
2020-02-01$10,117
2020-03-01$9,749
2020-04-01$10,840
2020-05-01$12,210
2020-06-01$12,251
2020-07-01$13,250
2020-08-01$13,612
2020-09-01$12,904
2020-10-01$12,109
2020-11-01$13,635
2020-12-01$15,890
2021-01-01$16,170
2021-02-01$15,441
2021-03-01$15,044
2021-04-01$16,016
2021-05-01$16,012
2021-06-01$16,997
2021-07-01$17,304
2021-08-01$18,139
2021-09-01$17,115
2021-10-01$18,529
2021-11-01$17,738
2021-12-01$17,660
2022-01-01$16,013
2022-02-01$16,508
2022-03-01$16,900
2022-04-01$15,387
2022-05-01$14,790
2022-06-01$13,889
2022-07-01$14,543
2022-08-01$14,702
2022-09-01$13,464
2022-10-01$14,265
2022-11-01$13,809
2022-12-01$13,101
2023-01-01$13,550
2023-02-01$13,704
2023-03-01$14,422
2023-04-01$13,335
2023-05-01$14,756
2023-06-01$15,011
2023-07-01$15,674
2023-08-01$15,757
2023-09-01$15,285
2023-10-01$14,682
2023-11-01$16,559
2023-12-01$18,050
2024-01-01$18,384
2024-02-01$19,294
2024-03-01$18,614
2024-04-01$17,565
2024-05-01$17,418
2024-06-01$18,257
2024-07-01$18,586
2024-08-01$19,321
2024-09-01$19,365
2024-10-01$19,393
2024-11-01$20,045
2024-12-01$19,422
2025-01-01$20,206
2025-02-01$19,394
2025-03-01$18,702
2025-04-01$19,693
2025-05-01$20,298
2025-06-01$21,183
2025-07-01$20,267
2025-08-01$20,724
2025-09-01$20,833
2025-10-01$20,630
2025-11-01$19,586
2025-12-01$19,171
2026-01-01$18,398
2026-02-01$17,318
2026-03-01$17,390
2026-04-01$18,756
2026-05-01$23,019
2026-06-01$24,190
2026-07-01$24,106
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
29.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.53
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.32
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +51.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -25.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
71%

Annual Returns

View full annual returns data
YearReturn
202051.2%
202111.1%
2022-25.8%
202337.8%
20247.6%
2025-1.3%
202625.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-4.0-5.90.47.922.75.1-0.325.7%
20254.0-4.0-3.65.33.14.4-4.32.30.5-1.0-5.1-2.1-1.3%
20241.84.9-3.5-5.6-0.84.81.84.00.20.13.4-3.17.6%
20233.41.15.2-7.510.71.74.40.5-3.0-3.912.89.037.8%
2022-9.33.12.4-8.9-3.9-6.14.71.1-8.45.9-3.2-5.1-25.8%
20211.8-4.5-2.66.5-0.06.11.84.8-5.68.3-4.3-0.411.1%
20204.7-8.0-3.611.212.60.38.22.7-5.2-6.212.616.551.2%
20193.8-5.5-1.64.75.6-1.55.1%

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
18.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US16.4%
VEA.US-12.9%
VWO.US3.0%
QQQ.US33.9%
VTV.US-1.2%
IJR.US2.7%
QUAL.US2.1%
SHV.US7.1%
TLT.US-1.1%
LQD.US-0.8%
HYG.US5.2%
GLD.US0.3%
USO.US0.0%
VNQ.US8.3%
BTC-USD.CC-0.1%
CPER.US1.7%
VIX.INDX-1.7%
UUP.US1.2%
TIP.US-0.4%
Idiosyncratic36.2%

iShares Cybersecurity and Tech ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.47%
47th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
53rd pct
larger than 53% of 1,446 ETFs we track
Holdings Count34
Distribution Yield
0.1%
21st pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E20.56x
Portfolio Price-to-Sales2.50x
Portfolio Price-to-Book4.30x

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 →
+2.6%
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 →
+19.6%
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 →
7.3% 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 →
0.92
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 →
41
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+7.8%
50.0% retracement+13.6%
61.8% retracement+20.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

IHAK.US — 10-Year Return & Risk Profile

iShares Cybersecurity and Tech ETF (IHAK.US) has delivered strong annualized growth of 13.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $34,635, representing a total return of 246%. Over this period, IHAK.US generated positive annual returns in 7 out of 10 calendar years (71%).

The best single calendar year for IHAK.US was 2020, with a return of +51.2%. The worst year was 2022, when the asset declined 25.8%. 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 0.53 is considered acceptable 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.

IHAK.US — Drawdown, Volatility & Downside Risk

IHAK.US's annualized volatility of 20.8% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in IHAK.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 29.3% — 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 29% drawdown, for example, requires a 41% gain just to break even.

When evaluating IHAK.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.

IHAK.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 33.9% of IHAK.US's return variance to US Growth / Technology. This means that when US Growth / Technology rises or falls sharply, IHAK.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 IHAK.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 16.4% of variance. 36.2% of IHAK.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 IHAK.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding IHAK.US alongside assets with low correlation to US Growth / Technology — 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 Cybersecurity and Tech ETF a high-risk investment?

iShares Cybersecurity and Tech ETF (IHAK.US) has an annualized volatility of 18.3% and experienced a maximum drawdown of 29.3% over the last 10 years. Its primary macro risk driver is QQQ.US.

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

Over the past 10 years, IHAK.US has generated a Compound Annual Growth Rate (CAGR) of 13.2%. A $10,000 investment would have grown to approximately $34,635. It has had a positive return in 71% of calendar years.

What is IHAK.US's Sharpe ratio?

IHAK.US has a Sharpe ratio of 0.53 and a Sortino ratio of 1.32 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 IHAK.US's dividend yield?

IHAK.US has an average trailing dividend yield of 0.07%. 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 IHAK.US above its 200-day moving average?

IHAK.US is currently above its 200-day moving average by 19.6%. 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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