Schwab U.S. Large-Cap ETF (SCHX.US)

10-Year Study

SCHX.US · US · ETF

About Schwab U.S. Large-Cap ETF (SCHX.US)

Unknown

To pursue its goal, the fund generally invests in stocks that are included in the Dow Jones U.S. Large-Cap Total Stock Market Index....

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

Fundamental Snapshot

Schwab U.S. Large-Cap ETF (SCHX.US) charges an annual expense ratio of 0.03%, manages approximately $70.9B in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 3.11x sales and 4.45x book value.

Executive Summary: Schwab U.S. Large-Cap ETF has compounded at 15.2% annually over the last 10 years, with a maximum drawdown of 24.7% and an annualized volatility of 12.8%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+23.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+13.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.2%

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
2016-07-01$10,000
2016-08-01$10,019
2016-09-01$10,028
2016-10-01$9,841
2016-11-01$10,213
2016-12-01$10,415
2017-01-01$10,622
2017-02-01$11,031
2017-03-01$11,051
2017-04-01$11,168
2017-05-01$11,320
2017-06-01$11,397
2017-07-01$11,626
2017-08-01$11,659
2017-09-01$11,900
2017-10-01$12,174
2017-11-01$12,540
2017-12-01$12,701
2018-01-01$13,404
2018-02-01$12,908
2018-03-01$12,613
2018-04-01$12,653
2018-05-01$12,965
2018-06-01$13,055
2018-07-01$13,521
2018-08-01$13,963
2018-09-01$14,035
2018-10-01$13,049
2018-11-01$13,295
2018-12-01$12,127
2019-01-01$13,106
2019-02-01$13,553
2019-03-01$13,792
2019-04-01$14,347
2019-05-01$13,439
2019-06-01$14,383
2019-07-01$14,592
2019-08-01$14,334
2019-09-01$14,603
2019-10-01$14,918
2019-11-01$15,482
2019-12-01$15,912
2020-01-01$15,937
2020-02-01$14,673
2020-03-01$12,763
2020-04-01$14,417
2020-05-01$15,153
2020-06-01$15,502
2020-07-01$16,410
2020-08-01$17,609
2020-09-01$16,971
2020-10-01$16,567
2020-11-01$18,481
2020-12-01$19,223
2021-01-01$19,069
2021-02-01$19,610
2021-03-01$20,359
2021-04-01$21,457
2021-05-01$21,575
2021-06-01$22,111
2021-07-01$22,617
2021-08-01$23,272
2021-09-01$22,195
2021-10-01$23,730
2021-11-01$23,429
2021-12-01$24,378
2022-01-01$22,988
2022-02-01$22,341
2022-03-01$23,132
2022-04-01$21,048
2022-05-01$20,993
2022-06-01$19,265
2022-07-01$21,029
2022-08-01$20,210
2022-09-01$18,344
2022-10-01$19,783
2022-11-01$20,861
2022-12-01$19,647
2023-01-01$20,935
2023-02-01$20,443
2023-03-01$21,129
2023-04-01$21,399
2023-05-01$21,530
2023-06-01$22,960
2023-07-01$23,767
2023-08-01$23,355
2023-09-01$22,265
2023-10-01$21,728
2023-11-01$23,761
2023-12-01$24,921
2024-01-01$25,287
2024-02-01$26,653
2024-03-01$27,510
2024-04-01$26,388
2024-05-01$27,616
2024-06-01$28,571
2024-07-01$28,976
2024-08-01$29,639
2024-09-01$30,265
2024-10-01$30,028
2024-11-01$31,969
2024-12-01$31,121
2025-01-01$32,048
2025-02-01$31,564
2025-03-01$29,732
2025-04-01$29,530
2025-05-01$31,375
2025-06-01$33,008
2025-07-01$33,818
2025-08-01$34,534
2025-09-01$35,673
2025-10-01$36,526
2025-11-01$36,567
2025-12-01$36,555
2026-01-01$37,003
2026-02-01$36,759
2026-03-01$34,928
2026-04-01$38,538
2026-05-01$40,541
2026-06-01$40,197
2026-07-01$40,210
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
24.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.76
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.09
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +31.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -19.4%
% 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
201722.0%
2018-4.5%
201931.2%
202020.8%
202126.8%
2022-19.4%
202326.8%
202424.9%
202517.5%
202610.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.2-0.7-5.010.35.2-0.80.010.0%
20253.0-1.5-5.8-0.76.25.22.52.13.32.40.1-0.017.5%
20241.55.43.2-4.14.73.51.42.32.1-0.86.5-2.724.9%
20236.6-2.33.41.30.66.63.5-1.7-4.7-2.49.44.926.8%
2022-5.7-2.83.5-9.0-0.3-8.29.2-3.9-9.27.85.5-5.8-19.4%
2021-0.82.83.85.40.62.52.32.9-4.66.9-1.34.126.8%
20200.2-7.9-13.013.05.12.35.97.3-3.6-2.411.54.020.8%
20198.13.41.84.0-6.37.01.5-1.81.92.23.82.831.2%
20185.5-3.7-2.30.32.50.73.63.30.5-7.01.9-8.8-4.5%
20172.03.80.21.11.40.72.00.32.12.33.01.322.0%
20160.20.1-1.93.82.04.2%

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
12.8%
View full factor risk breakdown
FactorRisk Exposure
VTI.US102.7%
VEA.US-0.5%
VWO.US0.5%
QQQ.US0.5%
VTV.US1.8%
IJR.US-5.9%
QUAL.US1.1%
SHV.US0.4%
TLT.US0.0%
LQD.US0.0%
HYG.US-0.4%
GLD.US-0.0%
USO.US0.0%
VNQ.US-0.7%
BTC-USD.CC0.0%
CPER.US-0.0%
VIX.INDX0.4%
UUP.US0.0%
TIP.US0.2%
Idiosyncratic0.1%

Schwab U.S. Large-Cap ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.03%
5th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
97th pct
larger than 97% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
1.0%
36th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E20.85x
Portfolio Price-to-Sales3.11x
Portfolio Price-to-Book4.45x

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 →
+0.4%
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 →
+7.0%
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 →
1.3% 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 →
1.02
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 →
48
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+6.1%
50.0% retracement+8.6%
61.8% retracement+11.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

SCHX.US — 10-Year Return & Risk Profile

Schwab U.S. Large-Cap ETF (SCHX.US) has delivered strong annualized growth of 15.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $41,079, representing a total return of 311%. Over this period, SCHX.US generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for SCHX.US was 2019, with a return of +31.2%. The worst year was 2022, when the asset declined 19.4%. 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 0.76 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.

SCHX.US — Drawdown, Volatility & Downside Risk

SCHX.US's annualized volatility of 15.5% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in SCHX.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 24.7% — 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 25% drawdown, for example, requires a 33% gain just to break even.

When evaluating SCHX.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.

SCHX.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 102.7% of SCHX.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, SCHX.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 SCHX.US allocation.

The second-largest macro driver is US Small-Cap Equities, contributing 5.9% of variance. 0.1% of SCHX.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 SCHX.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding SCHX.US 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 Schwab U.S. Large-Cap ETF a high-risk investment?

Schwab U.S. Large-Cap ETF (SCHX.US) has an annualized volatility of 12.8% and experienced a maximum drawdown of 24.7% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, SCHX.US has generated a Compound Annual Growth Rate (CAGR) of 15.2%. A $10,000 investment would have grown to approximately $41,079. It has had a positive return in 80% of calendar years.

What is SCHX.US's Sharpe ratio?

SCHX.US has a Sharpe ratio of 0.76 and a Sortino ratio of 1.09 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 SCHX.US's dividend yield?

SCHX.US has an average trailing dividend yield of 1.03%. 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 SCHX.US above its 200-day moving average?

SCHX.US is currently above its 200-day moving average by 7.0%. 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 Schwab U.S. Large-Cap ETF

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

Start a Free Backtest