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QSML vs. VFQY
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QSML vs. VFQY - Performance Comparison

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

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Returns By Period

In the year-to-date period, QSML achieves a 19.46% return, which is significantly higher than VFQY's 14.20% return.


QSML

1D
1.98%
1M
2.30%
6M
15.89%
YTD
19.46%
1Y
31.80%
3Y*
5Y*
10Y*
ALL TIME*
13.80%

VFQY

1D
1.05%
1M
2.21%
6M
10.27%
YTD
14.20%
1Y
23.29%
3Y*
15.72%
5Y*
9.15%
10Y*
ALL TIME*
11.62%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$17.22K$17.81K$19.02K
$948.51K$988.82K$1.06M

QSML vs. VFQY - Yearly Performance Comparison


2026 (YTD)20252024
QSML
Wisdomtree U.S. Smallcap Quality Growth Fund
19.46%5.49%9.93%
VFQY
Vanguard U.S. Quality Factor ETF
14.20%10.24%12.71%

Correlation

The correlation between QSML and VFQY is 0.90, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.90

Correlation (All Time)
Calculated using the full available price history since Jan 25, 2024

0.91

The correlation between QSML and VFQY has been stable across timeframes, ranging from 0.90 to 0.91 - a consistent structural relationship.

QSML vs. VFQY - Sectors Allocation Comparison


Sectors
QSML
VFQY

Technology

21.4%
25.8%

Consumer Cyclical

18.1%
13.3%

Financial Services

15.6%
18.9%

Industrials

13.8%
16.8%

Healthcare

13.7%
8.9%

Consumer Defensive

7.6%
9.2%

Energy

4.0%
2.2%

Communication Services

2.9%
2.8%

Basic Materials

2.4%
2.2%

Real Estate

0.3%

-

Utilities

0.2%

-

Technology

QSML
21.4%
VFQY
25.8%

Consumer Cyclical

QSML
18.1%
VFQY
13.3%

Financial Services

QSML
15.6%
VFQY
18.9%

Industrials

QSML
13.8%
VFQY
16.8%

Healthcare

QSML
13.7%
VFQY
8.9%

Consumer Defensive

QSML
7.6%
VFQY
9.2%

Energy

QSML
4.0%
VFQY
2.2%

Communication Services

QSML
2.9%
VFQY
2.8%

Basic Materials

QSML
2.4%
VFQY
2.2%

Real Estate

QSML
0.3%
VFQY

-

Utilities

QSML
0.2%
VFQY

-

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Return for Risk

QSML vs. VFQY — Risk / Return Rank

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

QSML
QSML Risk / Return Rank: 7575
Overall Rank
QSML Sharpe Ratio Rank: 7575
Sharpe Ratio Rank
QSML Sortino Ratio Rank: 7979
Sortino Ratio Rank
QSML Omega Ratio Rank: 7070
Omega Ratio Rank
QSML Calmar Ratio Rank: 7878
Calmar Ratio Rank
QSML Martin Ratio Rank: 7575
Martin Ratio Rank

VFQY
VFQY Risk / Return Rank: 7474
Overall Rank
VFQY Sharpe Ratio Rank: 7575
Sharpe Ratio Rank
VFQY Sortino Ratio Rank: 7676
Sortino Ratio Rank
VFQY Omega Ratio Rank: 7070
Omega Ratio Rank
VFQY Calmar Ratio Rank: 7171
Calmar Ratio Rank
VFQY Martin Ratio Rank: 7575
Martin Ratio Rank
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.

QSML vs. VFQY - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Wisdomtree U.S. Smallcap Quality Growth Fund (QSML) and Vanguard U.S. Quality Factor ETF (VFQY). 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.


QSMLVFQYDifference
Sharpe ratioReturn per unit of total volatility

+0.08

Sortino ratioReturn per unit of downside risk

+0.19

Omega ratioGain probability vs. loss probability

1.31

1.30

+0.01

Calmar ratioReturn relative to maximum drawdown

2.98

2.57

+0.41

Martin ratioReturn relative to average drawdown

10.05

9.69

+0.37

QSML vs. VFQY - Sharpe Ratio Comparison

The current QSML Sharpe Ratio is 1.83, which is comparable to the VFQY Sharpe Ratio of 1.75. The chart below compares the historical Sharpe Ratios of QSML and VFQY, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

QSML vs. VFQY - Drawdown Comparison

The maximum QSML drawdown since its inception was -28.54%, smaller than the maximum VFQY drawdown of -37.41%. Use the drawdown chart below to compare losses from any high point for QSML and VFQY.


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Drawdown Indicators


QSMLVFQYDifference

Max Drawdown

Largest peak-to-trough decline

-28.54%

-37.41%

+8.87%

Max Drawdown (1Y)

Largest decline over 1 year

-10.72%

-9.12%

-1.60%

Max Drawdown (3Y)

Largest decline over 3 years

-20.67%

Max Drawdown (5Y)

Largest decline over 5 years

-25.93%

Current Drawdown

Current decline from peak

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-5.63%

-6.57%

+0.94%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.17%

2.41%

+0.76%

Volatility

QSML vs. VFQY - Volatility Comparison

Wisdomtree U.S. Smallcap Quality Growth Fund (QSML) has a higher volatility of 4.71% compared to Vanguard U.S. Quality Factor ETF (VFQY) at 3.12%. This indicates that QSML's price experiences larger fluctuations and is considered to be riskier than VFQY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


QSMLVFQYDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.71%

3.12%

+1.59%

Volatility (6M)

Calculated over the trailing 6-month period

12.38%

9.58%

+2.80%

Volatility (1Y)

Calculated over the trailing 1-year period

17.49%

13.37%

+4.12%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

20.59%

18.29%

+2.30%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

20.59%

20.73%

-0.14%

QSML vs. VFQY - Expense Ratio Comparison

QSML has a 0.38% expense ratio, which is higher than VFQY's 0.13% expense ratio.


Dividends

QSML vs. VFQY - Dividend Comparison

QSML's dividend yield for the trailing twelve months is around 0.52%, less than VFQY's 1.03% yield.


PositionTTM20252024202320222021202020192018
QSML
Wisdomtree U.S. Smallcap Quality Growth Fund
0.52%0.62%0.32%0.00%0.00%0.00%0.00%0.00%0.00%
VFQY
Vanguard U.S. Quality Factor ETF
1.03%1.17%1.34%1.38%1.43%0.98%1.22%1.34%1.31%

Frequently Asked Questions


QSML and VFQY have a correlation of 0.90, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

QSML has higher volatility (4.71%) compared to VFQY (3.12%). In terms of maximum drawdown, QSML dropped -28.54% vs VFQY's -37.41%.

On 1-year performance, QSML leads with 31.80% vs 23.29% for VFQY. On fees, VFQY is cheaper at 0.13% per year. On volatility, VFQY has been the lower-risk option at 3.12%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QSML has performed better with a 31.80% return vs 23.29%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VFQY is cheaper with a 0.13% expense ratio, compared with 0.38% for QSML.

VFQY has the higher dividend yield at 1.03%, compared with 0.52% for QSML.

They also come from different issuers: WisdomTree and Vanguard. Their fees differ too: 0.38% for QSML and 0.13% for VFQY.

QSML currently has the higher Sharpe Ratio (1.83 vs 1.75), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for QSML and VFQY

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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