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QLTY vs. MOAT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QLTY vs. MOAT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in GMO U.S. Quality ETF (QLTY) and VanEck Morningstar Wide Moat ETF (MOAT). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, QLTY achieves a 6.61% return, which is significantly higher than MOAT's -2.48% return.


QLTY

1D
-0.46%
1M
-0.22%
YTD
6.61%
6M
5.96%
1Y
25.95%
3Y*
5Y*
10Y*

MOAT

1D
-1.11%
1M
-1.22%
YTD
-2.48%
6M
-3.43%
1Y
12.95%
3Y*
10.33%
5Y*
7.77%
10Y*
13.63%
*Multi-year figures are annualized to reflect compound growth (CAGR)

QLTY vs. MOAT - Yearly Performance Comparison


2026 (YTD)202520242023
QLTY
GMO U.S. Quality ETF
6.61%21.26%21.02%5.25%
MOAT
VanEck Morningstar Wide Moat ETF
-2.48%13.20%10.73%12.15%

Correlation

The correlation between QLTY and MOAT is 0.76, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.76

Correlation (All Time)
Calculated using the full available price history since Nov 15, 2023

0.76

The correlation between QLTY and MOAT has been stable across timeframes, ranging from 0.76 to 0.76 - a consistent structural relationship.

QLTY vs. MOAT - Sectors Allocation Comparison


Sectors
QLTY
MOAT

Technology

40.1%
33.8%

Healthcare

22.1%
15.9%

Communication Services

11.7%
2.4%

Financial Services

7.8%
9.0%

Consumer Cyclical

7.5%
7.3%

Consumer Defensive

6.5%
17.0%

Industrials

4.3%
13.8%

Basic Materials

-

-

Energy

-

-

Real Estate

-

0.8%

Utilities

-

-

Technology

QLTY
40.1%
MOAT
33.8%

Healthcare

QLTY
22.1%
MOAT
15.9%

Communication Services

QLTY
11.7%
MOAT
2.4%

Financial Services

QLTY
7.8%
MOAT
9.0%

Consumer Cyclical

QLTY
7.5%
MOAT
7.3%

Consumer Defensive

QLTY
6.5%
MOAT
17.0%

Industrials

QLTY
4.3%
MOAT
13.8%

Basic Materials

QLTY

-

MOAT

-

Energy

QLTY

-

MOAT

-

Real Estate

QLTY

-

MOAT
0.8%

Utilities

QLTY

-

MOAT

-

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Return for Risk

QLTY vs. MOAT — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

QLTY
QLTY Risk / Return Rank: 5959
Overall Rank
QLTY Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
QLTY Sortino Ratio Rank: 6666
Sortino Ratio Rank
QLTY Omega Ratio Rank: 6262
Omega Ratio Rank
QLTY Calmar Ratio Rank: 4646
Calmar Ratio Rank
QLTY Martin Ratio Rank: 5454
Martin Ratio Rank

MOAT
MOAT Risk / Return Rank: 2525
Overall Rank
MOAT Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
MOAT Sortino Ratio Rank: 2626
Sortino Ratio Rank
MOAT Omega Ratio Rank: 2424
Omega Ratio Rank
MOAT Calmar Ratio Rank: 2323
Calmar Ratio Rank
MOAT Martin Ratio Rank: 2525
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

QLTY vs. MOAT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for GMO U.S. Quality ETF (QLTY) and VanEck Morningstar Wide Moat ETF (MOAT). 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.


QLTYMOATDifference
Sharpe ratioReturn per unit of total volatility

+1.14

Sortino ratioReturn per unit of downside risk

+1.50

Omega ratioGain probability vs. loss probability

1.36

1.16

+0.20

Calmar ratioReturn relative to maximum drawdown

2.23

1.05

+1.18

Martin ratioReturn relative to average drawdown

9.04

3.16

+5.89

QLTY vs. MOAT - Sharpe Ratio Comparison

The current QLTY Sharpe Ratio is 2.07, which is higher than the MOAT Sharpe Ratio of 0.93. The chart below compares the historical Sharpe Ratios of QLTY and MOAT, 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

QLTY vs. MOAT - Drawdown Comparison

The maximum QLTY drawdown since its inception was -17.00%, smaller than the maximum MOAT drawdown of -33.31%. Use the drawdown chart below to compare losses from any high point for QLTY and MOAT.


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Drawdown Indicators


QLTYMOATDifference

Max Drawdown

Largest peak-to-trough decline

-17.00%

-33.31%

+16.31%

Max Drawdown (1Y)

Largest decline over 1 year

-11.71%

-12.43%

+0.72%

Max Drawdown (3Y)

Largest decline over 3 years

-21.44%

Max Drawdown (5Y)

Largest decline over 5 years

-23.96%

Max Drawdown (10Y)

Largest decline over 10 years

-33.31%

Current Drawdown

Current decline from peak

-1.93%

-6.20%

+4.27%

Average Drawdown

Average peak-to-trough decline

-2.04%

-3.83%

+1.79%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.88%

4.11%

-1.23%

Volatility

QLTY vs. MOAT - Volatility Comparison

The current volatility for GMO U.S. Quality ETF (QLTY) is 3.92%, while VanEck Morningstar Wide Moat ETF (MOAT) has a volatility of 4.72%. This indicates that QLTY experiences smaller price fluctuations and is considered to be less risky than MOAT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


QLTYMOATDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.92%

4.72%

-0.80%

Volatility (6M)

Calculated over the trailing 6-month period

9.70%

10.24%

-0.54%

Volatility (1Y)

Calculated over the trailing 1-year period

12.63%

14.02%

-1.39%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

14.68%

18.24%

-3.56%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

14.68%

18.70%

-4.02%

QLTY vs. MOAT - Expense Ratio Comparison

QLTY has a 0.50% expense ratio, which is higher than MOAT's 0.47% expense ratio.


Dividends

QLTY vs. MOAT - Dividend Comparison

QLTY's dividend yield for the trailing twelve months is around 0.71%, less than MOAT's 1.39% yield.


PositionTTM20252024202320222021202020192018201720162015
MOAT
VanEck Morningstar Wide Moat ETF
1.39%1.36%1.37%0.86%1.25%1.08%1.46%1.31%1.79%1.07%1.17%2.13%
QLTY
GMO U.S. Quality ETF
0.71%0.73%0.79%0.15%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


QLTY and MOAT have a correlation of 0.76, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MOAT has higher volatility (4.72%) compared to QLTY (3.92%). In terms of maximum drawdown, QLTY dropped -17.00% vs MOAT's -33.31%.

On 1-year performance, QLTY leads with 25.95% vs 12.95% for MOAT. On fees, MOAT is cheaper at 0.47% per year. On volatility, QLTY has been the lower-risk option at 3.92%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QLTY has performed better with a 25.95% return vs 12.95%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

MOAT is cheaper with a 0.47% expense ratio, compared with 0.50% for QLTY.

MOAT has the higher dividend yield at 1.39%, compared with 0.71% for QLTY.

QLTY tracks S&P 500, while MOAT tracks Morningstar Wide Moat Focus Index. They also come from different issuers: GMO and VanEck. Their fees differ too: 0.50% for QLTY and 0.47% for MOAT.

QLTY currently has the higher Sharpe Ratio (2.07 vs 0.93), 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 QLTY and MOAT

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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