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GGUS vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

GGUS vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Goldman Sachs MarketBeta Russell 1000 Growth Equity ETF (GGUS) and Franklin Intelligent Machines ETF (IQM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, GGUS achieves a 7.56% return, which is significantly lower than IQM's 40.18% return.


GGUS

1D
-1.06%
1M
6.20%
YTD
7.56%
6M
7.02%
1Y
23.97%
3Y*
5Y*
10Y*

IQM

1D
-0.37%
1M
11.94%
YTD
40.18%
6M
38.57%
1Y
75.07%
3Y*
37.62%
5Y*
22.22%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

GGUS vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023
GGUS
Goldman Sachs MarketBeta Russell 1000 Growth Equity ETF
7.56%17.32%30.88%4.54%
IQM
Franklin Intelligent Machines ETF
40.18%30.76%31.03%6.96%

Correlation

The correlation between GGUS and IQM is 0.81, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


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

0.81

Correlation (All Time)
Calculated using the full available price history since Dec 1, 2023

0.87

The correlation between GGUS and IQM has been stable across timeframes, ranging from 0.81 to 0.87 - a consistent structural relationship.

GGUS vs. IQM - Sectors Allocation Comparison


Sectors
GGUS
IQM

Technology

46.6%
65.9%

Consumer Cyclical

13.8%
4.1%

Communication Services

11.2%
2.1%

Healthcare

9.0%
1.1%

Industrials

7.2%
19.9%

Financial Services

6.9%

-

Consumer Defensive

3.4%

-

Real Estate

0.5%

-

Energy

0.5%
2.7%

Basic Materials

0.4%

-

Utilities

0.3%
3.3%

Technology

GGUS
46.6%
IQM
65.9%

Consumer Cyclical

GGUS
13.8%
IQM
4.1%

Communication Services

GGUS
11.2%
IQM
2.1%

Healthcare

GGUS
9.0%
IQM
1.1%

Industrials

GGUS
7.2%
IQM
19.9%

Financial Services

GGUS
6.9%
IQM

-

Consumer Defensive

GGUS
3.4%
IQM

-

Real Estate

GGUS
0.5%
IQM

-

Energy

GGUS
0.5%
IQM
2.7%

Basic Materials

GGUS
0.4%
IQM

-

Utilities

GGUS
0.3%
IQM
3.3%

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Return for Risk

GGUS vs. IQM — Risk / Return Rank

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

GGUS
GGUS Risk / Return Rank: 4141
Overall Rank
GGUS Sharpe Ratio Rank: 4646
Sharpe Ratio Rank
GGUS Sortino Ratio Rank: 4444
Sortino Ratio Rank
GGUS Omega Ratio Rank: 4444
Omega Ratio Rank
GGUS Calmar Ratio Rank: 3333
Calmar Ratio Rank
GGUS Martin Ratio Rank: 3636
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 7878
Overall Rank
IQM Sharpe Ratio Rank: 8181
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 6666
Sortino Ratio Rank
IQM Omega Ratio Rank: 7171
Omega Ratio Rank
IQM Calmar Ratio Rank: 8888
Calmar Ratio Rank
IQM Martin Ratio Rank: 8383
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.

GGUS vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Goldman Sachs MarketBeta Russell 1000 Growth Equity ETF (GGUS) and Franklin Intelligent Machines ETF (IQM). 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.


GGUSIQMDifference

Sharpe ratio

Return per unit of total volatility

1.61

2.67

-1.06

Sortino ratio

Return per unit of downside risk

2.22

3.11

-0.89

Omega ratio

Gain probability vs. loss probability

1.28

1.43

-0.14

Calmar ratio

Return relative to maximum drawdown

1.62

5.13

-3.52

Martin ratio

Return relative to average drawdown

5.55

16.79

-11.23

GGUS vs. IQM - Sharpe Ratio Comparison

The current GGUS Sharpe Ratio is 1.61, which is lower than the IQM Sharpe Ratio of 2.67. The chart below compares the historical Sharpe Ratios of GGUS and IQM, 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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Sharpe Ratios by Period


GGUSIQMDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.61

2.67

-1.06

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.77

Sharpe Ratio (All Time)

Calculated using the full available price history

1.30

0.96

+0.33

Drawdowns

GGUS vs. IQM - Drawdown Comparison

The maximum GGUS drawdown since its inception was -22.59%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for GGUS and IQM.


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Drawdown Indicators


GGUSIQMDifference

Max Drawdown

Largest peak-to-trough decline

-22.59%

-44.91%

+22.32%

Max Drawdown (1Y)

Largest decline over 1 year

-14.91%

-14.71%

-0.20%

Max Drawdown (3Y)

Largest decline over 3 years

-30.42%

Max Drawdown (5Y)

Largest decline over 5 years

-44.91%

Current Drawdown

Current decline from peak

-1.28%

-0.37%

-0.91%

Average Drawdown

Average peak-to-trough decline

-3.20%

-12.25%

+9.05%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.33%

4.49%

-0.16%

Volatility

GGUS vs. IQM - Volatility Comparison

The current volatility for Goldman Sachs MarketBeta Russell 1000 Growth Equity ETF (GGUS) is 3.41%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 9.20%. This indicates that GGUS experiences smaller price fluctuations and is considered to be less risky than IQM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


GGUSIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.41%

9.20%

-5.79%

Volatility (6M)

Calculated over the trailing 6-month period

11.30%

22.92%

-11.62%

Volatility (1Y)

Calculated over the trailing 1-year period

15.00%

28.27%

-13.27%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

18.96%

28.91%

-9.95%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.96%

30.72%

-11.76%

GGUS vs. IQM - Expense Ratio Comparison

GGUS has a 0.12% expense ratio, which is lower than IQM's 0.50% expense ratio.


Dividends

GGUS vs. IQM - Dividend Comparison

GGUS's dividend yield for the trailing twelve months is around 0.41%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020
GGUS
Goldman Sachs MarketBeta Russell 1000 Growth Equity ETF
0.41%0.43%0.68%0.00%0.00%0.00%0.00%
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%

Frequently Asked Questions


GGUS and IQM 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.

IQM has higher volatility (9.20%) compared to GGUS (3.41%). In terms of maximum drawdown, GGUS dropped -22.59% vs IQM's -44.91%.

On 1-year performance, IQM leads with 75.07% vs 23.97% for GGUS. On fees, GGUS is cheaper at 0.12% per year. On volatility, GGUS has been the lower-risk option at 3.41%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, IQM has performed better with a 75.07% return vs 23.97%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

GGUS is cheaper with a 0.12% expense ratio, compared with 0.50% for IQM.

GGUS has the higher dividend yield at 0.41%, compared with 0.00% for IQM.

They also come from different issuers: Goldman Sachs and Franklin Templeton. Their fees differ too: 0.12% for GGUS and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (2.67 vs 1.61), 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

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