Vanguard Utilities Index Fund ETF Shares (VPU.US)

10-Year Study

VPU.US · US · ETF

About Vanguard Utilities Index Fund ETF Shares (VPU.US)

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The fund employs an indexing investment approach designed to track the performance of the index, an index made up of stocks of large, mid-size, and small U.S. companies within the utilities sector, as classified under the GICS....

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

Fundamental Snapshot

Vanguard Utilities Index Fund ETF Shares (VPU.US) charges an annual expense ratio of 0.10%, manages approximately $8.9B in net assets, and maintains a portfolio of 68 holdings. At the portfolio level, its underlying basket trades at 2.70x sales and 2.07x book value.

Executive Summary: Vanguard Utilities Index Fund ETF Shares has compounded at 9.4% annually over the last 10 years, with a maximum drawdown of 19.1% and an annualized volatility of 27.4%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.4%

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$9,457
2016-09-01$9,505
2016-10-01$9,591
2016-11-01$9,155
2016-12-01$9,594
2017-01-01$9,706
2017-02-01$10,186
2017-03-01$10,181
2017-04-01$10,248
2017-05-01$10,659
2017-06-01$10,406
2017-07-01$10,682
2017-08-01$10,991
2017-09-01$10,722
2017-10-01$11,142
2017-11-01$11,464
2017-12-01$10,787
2018-01-01$10,450
2018-02-01$10,020
2018-03-01$10,424
2018-04-01$10,681
2018-05-01$10,648
2018-06-01$10,906
2018-07-01$11,088
2018-08-01$11,216
2018-09-01$11,173
2018-10-01$11,303
2018-11-01$11,746
2018-12-01$11,260
2019-01-01$11,678
2019-02-01$12,131
2019-03-01$12,476
2019-04-01$12,584
2019-05-01$12,474
2019-06-01$12,890
2019-07-01$12,862
2019-08-01$13,484
2019-09-01$14,035
2019-10-01$13,914
2019-11-01$13,638
2019-12-01$14,063
2020-01-01$14,920
2020-02-01$13,430
2020-03-01$12,076
2020-04-01$12,466
2020-05-01$13,003
2020-06-01$12,372
2020-07-01$13,268
2020-08-01$12,930
2020-09-01$13,006
2020-10-01$13,641
2020-11-01$13,836
2020-12-01$13,960
2021-01-01$13,814
2021-02-01$13,049
2021-03-01$14,393
2021-04-01$14,937
2021-05-01$14,588
2021-06-01$14,317
2021-07-01$14,878
2021-08-01$15,429
2021-09-01$14,479
2021-10-01$15,220
2021-11-01$14,978
2021-12-01$16,388
2022-01-01$15,838
2022-02-01$15,543
2022-03-01$17,066
2022-04-01$16,320
2022-05-01$17,056
2022-06-01$16,190
2022-07-01$17,114
2022-08-01$17,163
2022-09-01$15,248
2022-10-01$15,621
2022-11-01$16,720
2022-12-01$16,563
2023-01-01$16,301
2023-02-01$15,365
2023-03-01$16,063
2023-04-01$16,304
2023-05-01$15,388
2023-06-01$15,603
2023-07-01$15,978
2023-08-01$14,965
2023-09-01$14,128
2023-10-01$14,243
2023-11-01$14,971
2023-12-01$15,329
2024-01-01$14,818
2024-02-01$15,027
2024-03-01$16,072
2024-04-01$16,327
2024-05-01$17,746
2024-06-01$16,813
2024-07-01$17,961
2024-08-01$18,764
2024-09-01$19,934
2024-10-01$19,697
2024-11-01$20,514
2024-12-01$18,862
2025-01-01$19,397
2025-02-01$19,791
2025-03-01$19,857
2025-04-01$19,878
2025-05-01$20,572
2025-06-01$20,665
2025-07-01$21,687
2025-08-01$21,388
2025-09-01$22,321
2025-10-01$22,751
2025-11-01$23,151
2025-12-01$21,966
2026-01-01$22,316
2026-02-01$24,439
2026-03-01$23,676
2026-04-01$24,196
2026-05-01$23,022
2026-06-01$23,545
2026-07-01$23,002
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
19.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.36
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 →
15.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +24.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -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 →
80%

Annual Returns

View full annual returns data
YearReturn
201712.4%
20184.4%
201924.9%
2020-0.7%
202117.4%
20221.1%
2023-7.4%
202423.0%
202516.5%
20264.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.69.5-3.12.2-4.92.3-2.34.7%
20252.82.00.30.13.50.44.9-1.44.41.91.8-5.116.5%
2024-3.31.46.91.68.7-5.36.84.56.2-1.24.1-8.123.0%
2023-1.6-5.74.51.5-5.61.42.4-6.3-5.60.85.12.4-7.4%
2022-3.4-1.99.8-4.44.5-5.15.70.3-11.22.47.0-0.91.1%
2021-1.0-5.510.33.8-2.3-1.93.93.7-6.25.1-1.69.417.4%
20206.1-10.0-10.13.24.3-4.97.2-2.50.64.91.40.9-0.7%
20193.73.92.80.9-0.93.3-0.24.84.1-0.9-2.03.124.9%
2018-3.1-4.14.02.5-0.32.41.71.2-0.41.23.9-4.14.4%
20171.25.0-0.10.74.0-2.42.72.9-2.43.92.9-5.912.4%
2016-5.40.50.9-4.54.8-4.1%

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
27.4%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.1%
VEA.US-2.5%
VWO.US0.7%
QQQ.US-2.7%
VTV.US8.7%
IJR.US-5.3%
QUAL.US2.3%
SHV.US69.9%
TLT.US-1.6%
LQD.US3.4%
HYG.US-0.3%
GLD.US2.0%
USO.US0.1%
VNQ.US8.4%
BTC-USD.CC0.8%
CPER.US-0.8%
VIX.INDX2.2%
UUP.US-0.4%
TIP.US5.5%
Idiosyncratic6.5%

Vanguard Utilities Index Fund ETF Shares ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.10%
13th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
86th pct
larger than 86% of 1,446 ETFs we track
Holdings Count68
Distribution Yield
2.6%
61st pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E18.64x
Portfolio Price-to-Sales2.70x
Portfolio Price-to-Book2.07x

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 →
-1.5%
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 →
-0.5%
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 →
5.9% 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 →
0.50
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 →
33
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-0.5%
50.0% retracement+1.3%
61.8% retracement+3.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

VPU.US — 10-Year Return & Risk Profile

Vanguard Utilities Index Fund ETF Shares (VPU.US) has delivered solid annualized growth of 9.4% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $24,574, representing a total return of 146%. Over this period, VPU.US generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for VPU.US was 2019, with a return of +24.9%. The worst year was 2023, 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 0.36 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.

VPU.US — Drawdown, Volatility & Downside Risk

VPU.US's annualized volatility of 15.0% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in VPU.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 19.1% — 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 19% drawdown, for example, requires a 24% gain just to break even.

When evaluating VPU.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.

VPU.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 69.9% of VPU.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, VPU.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 VPU.US allocation.

The second-largest macro driver is US Value Equities, contributing 8.7% of variance. 6.5% of VPU.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 VPU.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding VPU.US 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 Vanguard Utilities Index Fund ETF Shares a high-risk investment?

Vanguard Utilities Index Fund ETF Shares (VPU.US) has an annualized volatility of 27.4% and experienced a maximum drawdown of 19.1% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, VPU.US has generated a Compound Annual Growth Rate (CAGR) of 9.4%. A $10,000 investment would have grown to approximately $24,574. It has had a positive return in 80% of calendar years.

What is VPU.US's Sharpe ratio?

VPU.US has a Sharpe ratio of 0.36 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 VPU.US's dividend yield?

VPU.US has an average trailing dividend yield of 2.64%. 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 VPU.US above its 200-day moving average?

VPU.US is currently below its 200-day moving average by 0.5%. 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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