DUSG vs. QSML

Last updated Aug 5, 2026

DUSG (Dimensional U.S. Small Cap Growth ETF) and QSML (Wisdomtree U.S. Smallcap Quality Growth Fund) are both exchange-traded funds - DUSG is a Small Cap Growth Equities fund actively managed by Dimensional, while QSML is a Quality Factor fund tracking the WisdomTree US SmallCap Quality Growth Index - Benchmark TR Gross. DUSG is actively managed, while QSML is passively managed. Their correlation of 0.81 means they have usually moved in the same direction. DUSG charges 0.32%/yr vs 0.38%/yr for QSML.

Performance

DUSG vs. QSML - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Dimensional U.S. Small Cap Growth ETF (DUSG) and Wisdomtree U.S. Smallcap Quality Growth Fund (QSML). The values are adjusted to include any dividend payments, if applicable.

Returns By Period

DUSG

• 1D: 1.93%
• 1M: 3.13%
• 6M: —
• YTD: —
• 1Y: —
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: —

QSML

• 1D: 2.01%
• 1M: 4.36%
• 6M: 19.59%
• YTD: 21.87%
• 1Y: 31.98%
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: 14.69%

*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison

Position	Avg. Volume Value (2W)	Avg. Volume Value (1M)	Avg. Volume Value (3M)
DUSG Dimensional U.S. Small Cap Growth ETF	$522.27K	$298.89K	$124.88K
QSML Wisdomtree U.S. Smallcap Quality Growth Fund	$15.80K	$17.04K	$18.20K

DUSG vs. QSML - Yearly Performance Comparison

	2026 (YTD)
DUSG Dimensional U.S. Small Cap Growth ETF	7.14%
QSML Wisdomtree U.S. Smallcap Quality Growth Fund	13.25%

Correlation

The correlation between DUSG and QSML is 0.81, meaning they have usually moved in the same direction, including during past declines.

	Correlation
Correlation (All Time) Calculated using the full available price history since May 6, 2026	0.81

DUSG vs. QSML - Sectors Allocation Comparison

Sectors	DUSG	QSML
Industrials	25.2%	13.8%
Technology	18.2%	21.4%
Consumer Cyclical	16.6%	18.1%
Healthcare	12.4%	13.7%
Financial Services	9.0%	15.6%
Basic Materials	6.1%	2.4%
Consumer Defensive	5.4%	7.6%
Energy	3.5%	4.0%
Communication Services	2.9%	2.9%
Utilities	0.4%	0.2%
Real Estate	0.3%	0.3%

Return for Risk

DUSG vs. QSML — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

DUSG

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

QSML

QSML Risk / Return Rank: 72
QSML Sharpe Ratio Rank: 70
QSML Sortino Ratio Rank: 75
QSML Omega Ratio Rank: 65
QSML Calmar Ratio Rank: 75
QSML Martin Ratio Rank: 72

The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

DUSG vs. QSML - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Dimensional U.S. Small Cap Growth ETF (DUSG) and Wisdomtree U.S. Smallcap Quality Growth Fund (QSML). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.

	DUSG	QSML	Difference
Sharpe ratio: Return per unit of total volatility	—	1.84	—
Sortino ratio: Return per unit of downside risk	—	2.74	—
Omega ratio: Gain probability vs. loss probability	—	1.31	—
Calmar ratio: Return relative to maximum drawdown	—	3.00	—
Martin ratio: Return relative to average drawdown	—	10.11	—

Drawdowns

DUSG vs. QSML - Drawdown Comparison

The maximum DUSG drawdown since its inception was -4.19%, smaller than the maximum QSML drawdown of -28.54%. Use the drawdown chart below to compare losses from any high point for DUSG and QSML.

Drawdown Indicators

	DUSG	QSML	Difference
Max Drawdown Largest peak-to-trough decline	-4.19%	-28.54%	+24.35%
Max Drawdown (1Y) Largest decline over 1 year	—	-10.72%	—
Current Drawdown Current decline from peak	0.00%	0.00%	0.00%
Average Drawdown Average peak-to-trough decline	-1.31%	-5.62%	+4.31%
Ulcer Index Depth and duration of drawdowns from previous peaks	—	3.17%	—

Volatility

Volatility by Period

	DUSG	QSML	Difference
Volatility (1M) Calculated over the trailing 1-month period	—	5.06%	—
Volatility (6M) Calculated over the trailing 6-month period	—	12.49%	—
Volatility (1Y) Calculated over the trailing 1-year period	14.82%	17.55%	-2.73%
Volatility (5Y) Calculated over the trailing 5-year period, annualized	14.82%	20.61%	-5.79%
Volatility (10Y) Calculated over the trailing 10-year period, annualized	14.82%	20.61%	-5.79%

DUSG vs. QSML - Expense Ratio Comparison

DUSG has a 0.32% expense ratio, which is lower than QSML's 0.38% expense ratio.

Dividends

DUSG vs. QSML - Dividend Comparison

DUSG's dividend yield for the trailing twelve months is around 0.14%, less than QSML's 0.51% yield.

Position	TTM	2025	2024
DUSG Dimensional U.S. Small Cap Growth ETF	0.14%	0.00%	0.00%
QSML Wisdomtree U.S. Smallcap Quality Growth Fund	0.51%	0.62%	0.32%

Frequently Asked Questions

Can I hold both DUSG and QSML in my portfolio?

DUSG and QSML have a correlation of 0.81, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Which ETF is better, DUSG or QSML?

On fees, DUSG is cheaper at 0.32% per year. The better choice depends on whether you care most about return, fees, risk, or income.

Which ETF is cheaper, DUSG or QSML?

DUSG is cheaper with a 0.32% expense ratio, compared with 0.38% for QSML.

Which ETF pays a higher dividend yield, DUSG or QSML?

QSML has the higher dividend yield at 0.51%, compared with 0.14% for DUSG.

What is the main difference between DUSG and QSML?

DUSG is categorized as Small Cap Growth Equities, while QSML is Quality Factor. They also come from different issuers: Dimensional and WisdomTree. Their fees differ too: 0.32% for DUSG and 0.38% for QSML.