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BJUL vs. BAUG
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

BJUL vs. BAUG - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Innovator U.S. Equity Buffer ETF - July (BJUL) and Innovator U.S. Equity Buffer ETF - August (BAUG). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

The year-to-date returns for both investments are quite close, with BJUL having a 6.31% return and BAUG slightly higher at 6.60%.


BJUL

1D
0.11%
1M
1.88%
YTD
6.31%
6M
7.23%
1Y
19.63%
3Y*
16.73%
5Y*
11.46%
10Y*

BAUG

1D
0.04%
1M
2.14%
YTD
6.60%
6M
7.45%
1Y
20.49%
3Y*
17.95%
5Y*
11.22%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

BJUL vs. BAUG - Yearly Performance Comparison


2026 (YTD)2025202420232022202120202019
BJUL
Innovator U.S. Equity Buffer ETF - July
6.31%13.93%18.41%21.73%-7.38%10.77%9.05%6.43%
BAUG
Innovator U.S. Equity Buffer ETF - August
6.60%14.81%21.15%20.11%-10.30%12.06%12.20%6.33%

Correlation

The correlation between BJUL and BAUG is 0.97 - these two move nearly in lockstep. At this level, holding both provides almost no diversification benefit. If you already own one, adding the other does little to reduce portfolio risk.


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

0.97

Correlation (3Y)
Calculated over the trailing 3-year period

0.97

Correlation (5Y)
Calculated over the trailing 5-year period

0.97

Correlation (All Time)
Calculated using the full available price history since Aug 2, 2019

0.95

The correlation between BJUL and BAUG has been stable across timeframes, ranging from 0.95 to 0.97 - a consistent structural relationship.

BJUL vs. BAUG - Sectors Allocation Comparison


Sectors
BJUL
BAUG

Technology

36.2%
36.2%

Financial Services

11.9%
11.9%

Communication Services

10.9%
10.9%

Consumer Cyclical

10.1%
10.1%

Healthcare

8.4%
8.4%

Industrials

8.1%
8.1%

Consumer Defensive

4.9%
4.9%

Energy

3.5%
3.5%

Utilities

2.3%
2.3%

Real Estate

1.9%
1.9%

Basic Materials

1.8%
1.8%

Technology

BJUL
36.2%
BAUG
36.2%

Financial Services

BJUL
11.9%
BAUG
11.9%

Communication Services

BJUL
10.9%
BAUG
10.9%

Consumer Cyclical

BJUL
10.1%
BAUG
10.1%

Healthcare

BJUL
8.4%
BAUG
8.4%

Industrials

BJUL
8.1%
BAUG
8.1%

Consumer Defensive

BJUL
4.9%
BAUG
4.9%

Energy

BJUL
3.5%
BAUG
3.5%

Utilities

BJUL
2.3%
BAUG
2.3%

Real Estate

BJUL
1.9%
BAUG
1.9%

Basic Materials

BJUL
1.8%
BAUG
1.8%

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Return for Risk

BJUL vs. BAUG — Risk / Return Rank

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

BJUL
BJUL Risk / Return Rank: 8181
Overall Rank
BJUL Sharpe Ratio Rank: 7979
Sharpe Ratio Rank
BJUL Sortino Ratio Rank: 8282
Sortino Ratio Rank
BJUL Omega Ratio Rank: 8484
Omega Ratio Rank
BJUL Calmar Ratio Rank: 7373
Calmar Ratio Rank
BJUL Martin Ratio Rank: 8888
Martin Ratio Rank

BAUG
BAUG Risk / Return Rank: 8181
Overall Rank
BAUG Sharpe Ratio Rank: 8080
Sharpe Ratio Rank
BAUG Sortino Ratio Rank: 8484
Sortino Ratio Rank
BAUG Omega Ratio Rank: 8484
Omega Ratio Rank
BAUG Calmar Ratio Rank: 7272
Calmar Ratio Rank
BAUG Martin Ratio Rank: 8686
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.

BJUL vs. BAUG - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Innovator U.S. Equity Buffer ETF - July (BJUL) and Innovator U.S. Equity Buffer ETF - August (BAUG). 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.


BJULBAUGDifference

Sharpe ratio

Return per unit of total volatility

2.60

2.64

-0.04

Sortino ratio

Return per unit of downside risk

3.74

3.81

-0.07

Omega ratio

Gain probability vs. loss probability

1.52

1.52

0.00

Calmar ratio

Return relative to maximum drawdown

3.74

3.68

+0.06

Martin ratio

Return relative to average drawdown

19.44

18.70

+0.75

BJUL vs. BAUG - Sharpe Ratio Comparison

The current BJUL Sharpe Ratio is 2.60, which is comparable to the BAUG Sharpe Ratio of 2.64. The chart below compares the historical Sharpe Ratios of BJUL and BAUG, 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


BJULBAUGDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.60

2.64

-0.04

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.99

0.96

+0.03

Sharpe Ratio (All Time)

Calculated using the full available price history

0.74

0.84

-0.10

Drawdowns

BJUL vs. BAUG - Drawdown Comparison

The maximum BJUL drawdown since its inception was -24.03%, roughly equal to the maximum BAUG drawdown of -24.19%. Use the drawdown chart below to compare losses from any high point for BJUL and BAUG.


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Drawdown Indicators


BJULBAUGDifference

Max Drawdown

Largest peak-to-trough decline

-24.03%

-24.19%

+0.16%

Max Drawdown (1Y)

Largest decline over 1 year

-5.40%

-5.66%

+0.26%

Max Drawdown (3Y)

Largest decline over 3 years

-14.06%

-13.78%

-0.28%

Max Drawdown (5Y)

Largest decline over 5 years

-14.06%

-15.59%

+1.53%

Current Drawdown

Current decline from peak

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-2.50%

-2.84%

+0.34%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.04%

1.11%

-0.07%

Volatility

BJUL vs. BAUG - Volatility Comparison

The current volatility for Innovator U.S. Equity Buffer ETF - July (BJUL) is 0.75%, while Innovator U.S. Equity Buffer ETF - August (BAUG) has a volatility of 1.06%. This indicates that BJUL experiences smaller price fluctuations and is considered to be less risky than BAUG based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


BJULBAUGDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.75%

1.06%

-0.31%

Volatility (6M)

Calculated over the trailing 6-month period

5.50%

5.83%

-0.33%

Volatility (1Y)

Calculated over the trailing 1-year period

7.60%

7.79%

-0.19%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

11.61%

11.70%

-0.09%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

13.64%

13.96%

-0.32%

BJUL vs. BAUG - Expense Ratio Comparison

Both BJUL and BAUG have an expense ratio of 0.79%.


Dividends

BJUL vs. BAUG - Dividend Comparison

Neither BJUL nor BAUG has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


With a correlation of 0.97, BJUL and BAUG move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

BAUG has higher volatility (1.06%) compared to BJUL (0.75%). In terms of maximum drawdown, BJUL dropped -24.03% vs BAUG's -24.19%.

On 5-year performance, BJUL leads with 11.46% vs 11.22% for BAUG. Both ETFs have the same 0.79% expense ratio. On volatility, BJUL has been the lower-risk option at 0.75%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, BJUL has performed better with a 11.46% return vs 11.22%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

BJUL and BAUG have the same expense ratio: 0.79% per year.

BJUL and BAUG have nearly identical dividend yields, around 0.00%.

BJUL tracks S&P 500, while BAUG tracks Cboe S&P 500 Buffer Protect Index August.

BAUG currently has the higher Sharpe Ratio (2.64 vs 2.60), 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.

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