PortfoliosLab logoPortfoliosLab logo
GPIQ vs. QBUF
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

GPIQ vs. QBUF - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ) and Innovator Nasdaq-100 10 Buffer ETF - Quarterly (QBUF). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, GPIQ achieves a 13.18% return, which is significantly higher than QBUF's 3.75% return.


GPIQ

1D
1.36%
1M
-1.54%
6M
10.62%
YTD
13.18%
1Y
25.84%
3Y*
5Y*
10Y*
ALL TIME*
26.64%

QBUF

1D
0.84%
1M
0.01%
6M
2.65%
YTD
3.75%
1Y
9.46%
3Y*
5Y*
10Y*
ALL TIME*
10.01%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$89.39M$82.61M$83.97M
$840.97K$1.01M$957.50K

GPIQ vs. QBUF - Yearly Performance Comparison


Correlation

The correlation between GPIQ and QBUF is 0.85, 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.

0.85

Correlation (All Time)
Calculated using the full available price history since Jul 1, 2024

0.84

The correlation between GPIQ and QBUF has been stable across timeframes, ranging from 0.84 to 0.85 - a consistent structural relationship.

GPIQ vs. QBUF - Sectors Allocation Comparison


Sectors
GPIQ
QBUF

Technology

60.7%
60.2%

Communication Services

11.8%
13.3%

Consumer Cyclical

10.1%
10.9%

Consumer Defensive

6.4%
6.5%

Industrials

4.2%
2.7%

Healthcare

3.7%
3.6%

Utilities

1.4%
1.2%

Basic Materials

1.1%
1.0%

Energy

0.5%
0.5%

Financial Services

0.2%
0.2%

Real Estate

0.1%
0.1%

Technology

GPIQ
60.7%
QBUF
60.2%

Communication Services

GPIQ
11.8%
QBUF
13.3%

Consumer Cyclical

GPIQ
10.1%
QBUF
10.9%

Consumer Defensive

GPIQ
6.4%
QBUF
6.5%

Industrials

GPIQ
4.2%
QBUF
2.7%

Healthcare

GPIQ
3.7%
QBUF
3.6%

Utilities

GPIQ
1.4%
QBUF
1.2%

Basic Materials

GPIQ
1.1%
QBUF
1.0%

Energy

GPIQ
0.5%
QBUF
0.5%

Financial Services

GPIQ
0.2%
QBUF
0.2%

Real Estate

GPIQ
0.1%
QBUF
0.1%

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

GPIQ vs. QBUF — Risk / Return Rank

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

GPIQ
GPIQ Risk / Return Rank: 6969
Overall Rank
GPIQ Sharpe Ratio Rank: 6666
Sharpe Ratio Rank
GPIQ Sortino Ratio Rank: 6464
Sortino Ratio Rank
GPIQ Omega Ratio Rank: 6464
Omega Ratio Rank
GPIQ Calmar Ratio Rank: 7676
Calmar Ratio Rank
GPIQ Martin Ratio Rank: 7676
Martin Ratio Rank

QBUF
QBUF Risk / Return Rank: 6767
Overall Rank
QBUF Sharpe Ratio Rank: 6262
Sharpe Ratio Rank
QBUF Sortino Ratio Rank: 6161
Sortino Ratio Rank
QBUF Omega Ratio Rank: 6969
Omega Ratio Rank
QBUF Calmar Ratio Rank: 6464
Calmar Ratio Rank
QBUF Martin Ratio Rank: 7979
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.

GPIQ vs. QBUF - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ) and Innovator Nasdaq-100 10 Buffer ETF - Quarterly (QBUF). 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.


GPIQQBUFDifference
Sharpe ratioReturn per unit of total volatility

+0.01

Sortino ratioReturn per unit of downside risk

-0.06

Omega ratioGain probability vs. loss probability

1.28

1.31

-0.03

Calmar ratioReturn relative to maximum drawdown

2.73

2.38

+0.35

Martin ratioReturn relative to average drawdown

9.62

11.08

-1.45

GPIQ vs. QBUF - Sharpe Ratio Comparison

The current GPIQ Sharpe Ratio is 1.56, which is comparable to the QBUF Sharpe Ratio of 1.55. The chart below compares the historical Sharpe Ratios of GPIQ and QBUF, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Drawdowns

GPIQ vs. QBUF - Drawdown Comparison

The maximum GPIQ drawdown since its inception was -21.06%, which is greater than QBUF's maximum drawdown of -8.84%. Use the drawdown chart below to compare losses from any high point for GPIQ and QBUF.


Loading charts...

Drawdown Indicators


GPIQQBUFDifference

Max Drawdown

Largest peak-to-trough decline

-21.06%

-8.84%

-12.22%

Max Drawdown (1Y)

Largest decline over 1 year

-9.51%

-3.99%

-5.52%

Current Drawdown

Current decline from peak

-4.62%

-1.17%

-3.45%

Average Drawdown

Average peak-to-trough decline

-2.34%

-0.83%

-1.51%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.69%

0.86%

+1.83%

Volatility

GPIQ vs. QBUF - Volatility Comparison

Goldman Sachs Nasdaq-100 Core Premium Income ETF (GPIQ) has a higher volatility of 6.41% compared to Innovator Nasdaq-100 10 Buffer ETF - Quarterly (QBUF) at 3.33%. This indicates that GPIQ's price experiences larger fluctuations and is considered to be riskier than QBUF based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


GPIQQBUFDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.41%

3.33%

+3.08%

Volatility (6M)

Calculated over the trailing 6-month period

14.11%

4.63%

+9.48%

Volatility (1Y)

Calculated over the trailing 1-year period

16.68%

6.14%

+10.54%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

18.06%

8.45%

+9.61%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.06%

8.45%

+9.61%

GPIQ vs. QBUF - Expense Ratio Comparison

GPIQ has a 0.29% expense ratio, which is lower than QBUF's 0.79% expense ratio.


Dividends

GPIQ vs. QBUF - Dividend Comparison

GPIQ's dividend yield for the trailing twelve months is around 10.15%, while QBUF has not paid dividends to shareholders.


PositionTTM202520242023
GPIQ
Goldman Sachs Nasdaq-100 Core Premium Income ETF
10.15%9.81%9.18%1.74%
QBUF
Innovator Nasdaq-100 10 Buffer ETF - Quarterly
0.00%0.00%0.00%0.00%

Frequently Asked Questions


GPIQ and QBUF have a correlation of 0.85, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

GPIQ has higher volatility (6.41%) compared to QBUF (3.33%). In terms of maximum drawdown, GPIQ dropped -21.06% vs QBUF's -8.84%.

On 1-year performance, GPIQ leads with 25.84% vs 9.46% for QBUF. On fees, GPIQ is cheaper at 0.29% per year. On volatility, QBUF has been the lower-risk option at 3.33%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, GPIQ has performed better with a 25.84% return vs 9.46%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

GPIQ is cheaper with a 0.29% expense ratio, compared with 0.79% for QBUF.

GPIQ has the higher dividend yield at 10.15%, compared with 0.00% for QBUF.

They also come from different issuers: Goldman Sachs and Innovator. Their fees differ too: 0.29% for GPIQ and 0.79% for QBUF.

GPIQ currently has the higher Sharpe Ratio (1.56 vs 1.55), 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 GPIQ and QBUF

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

Open Portfolio Optimizer