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XBOC vs. PJUL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XBOC vs. PJUL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Innovator U.S. Equity Accelerated 9 Buffer ETF - October (XBOC) and Innovator U.S. Equity Power Buffer ETF - July (PJUL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, XBOC achieves a 5.40% return, which is significantly higher than PJUL's 4.74% return.


XBOC

1D
-0.10%
1M
1.89%
YTD
5.40%
6M
6.20%
1Y
13.69%
3Y*
11.67%
5Y*
10Y*

PJUL

1D
0.10%
1M
1.44%
YTD
4.74%
6M
5.40%
1Y
15.32%
3Y*
13.95%
5Y*
10.49%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

XBOC vs. PJUL - Yearly Performance Comparison


2026 (YTD)20252024202320222021
XBOC
Innovator U.S. Equity Accelerated 9 Buffer ETF - October
5.40%11.15%8.36%20.06%-7.58%3.76%
PJUL
Innovator U.S. Equity Power Buffer ETF - July
4.74%12.78%13.76%19.87%-2.08%3.45%

Correlation

The correlation between XBOC and PJUL is 0.88, 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

0.88

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

0.81

Correlation (All Time)
Calculated using the full available price history since Oct 4, 2021

0.87

The correlation between XBOC and PJUL has been stable across timeframes, ranging from 0.81 to 0.88 - a consistent structural relationship.

XBOC vs. PJUL - Sectors Allocation Comparison


Sectors
XBOC
PJUL

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

XBOC
36.2%
PJUL
36.2%

Financial Services

XBOC
11.9%
PJUL
11.9%

Communication Services

XBOC
10.9%
PJUL
10.9%

Consumer Cyclical

XBOC
10.1%
PJUL
10.1%

Healthcare

XBOC
8.4%
PJUL
8.4%

Industrials

XBOC
8.1%
PJUL
8.1%

Consumer Defensive

XBOC
4.9%
PJUL
4.9%

Energy

XBOC
3.5%
PJUL
3.5%

Utilities

XBOC
2.3%
PJUL
2.3%

Real Estate

XBOC
1.9%
PJUL
1.9%

Basic Materials

XBOC
1.8%
PJUL
1.8%

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Return for Risk

XBOC vs. PJUL — Risk / Return Rank

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

XBOC
XBOC Risk / Return Rank: 6969
Overall Rank
XBOC Sharpe Ratio Rank: 6666
Sharpe Ratio Rank
XBOC Sortino Ratio Rank: 6969
Sortino Ratio Rank
XBOC Omega Ratio Rank: 7878
Omega Ratio Rank
XBOC Calmar Ratio Rank: 5656
Calmar Ratio Rank
XBOC Martin Ratio Rank: 7878
Martin Ratio Rank

PJUL
PJUL Risk / Return Rank: 8787
Overall Rank
PJUL Sharpe Ratio Rank: 8383
Sharpe Ratio Rank
PJUL Sortino Ratio Rank: 8989
Sortino Ratio Rank
PJUL Omega Ratio Rank: 9090
Omega Ratio Rank
PJUL Calmar Ratio Rank: 8181
Calmar Ratio Rank
PJUL Martin Ratio Rank: 9292
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.

XBOC vs. PJUL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Innovator U.S. Equity Accelerated 9 Buffer ETF - October (XBOC) and Innovator U.S. Equity Power Buffer ETF - July (PJUL). 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.


XBOCPJULDifference
Sharpe ratioReturn per unit of total volatility

-0.58

Sortino ratioReturn per unit of downside risk

-1.00

Omega ratioGain probability vs. loss probability

1.46

1.59

-0.13

Calmar ratioReturn relative to maximum drawdown

2.75

4.22

-1.47

Martin ratioReturn relative to average drawdown

14.85

23.24

-8.39

XBOC vs. PJUL - Sharpe Ratio Comparison

The current XBOC Sharpe Ratio is 2.15, which is comparable to the PJUL Sharpe Ratio of 2.73. The chart below compares the historical Sharpe Ratios of XBOC and PJUL, 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


XBOCPJULDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.15

2.73

-0.58

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.23

Sharpe Ratio (All Time)

Calculated using the full available price history

0.86

0.90

-0.04

Drawdowns

XBOC vs. PJUL - Drawdown Comparison

The maximum XBOC drawdown since its inception was -13.35%, smaller than the maximum PJUL drawdown of -18.17%. Use the drawdown chart below to compare losses from any high point for XBOC and PJUL.


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Drawdown Indicators


XBOCPJULDifference

Max Drawdown

Largest peak-to-trough decline

-13.35%

-18.17%

+4.82%

Max Drawdown (1Y)

Largest decline over 1 year

-4.99%

-3.64%

-1.35%

Max Drawdown (3Y)

Largest decline over 3 years

-12.53%

-10.69%

-1.84%

Max Drawdown (5Y)

Largest decline over 5 years

-10.69%

Current Drawdown

Current decline from peak

-0.11%

0.00%

-0.11%

Average Drawdown

Average peak-to-trough decline

-2.08%

-1.47%

-0.61%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.92%

0.66%

+0.26%

Volatility

XBOC vs. PJUL - Volatility Comparison

Innovator U.S. Equity Accelerated 9 Buffer ETF - October (XBOC) has a higher volatility of 0.78% compared to Innovator U.S. Equity Power Buffer ETF - July (PJUL) at 0.42%. This indicates that XBOC's price experiences larger fluctuations and is considered to be riskier than PJUL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


XBOCPJULDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.78%

0.42%

+0.36%

Volatility (6M)

Calculated over the trailing 6-month period

5.19%

3.89%

+1.30%

Volatility (1Y)

Calculated over the trailing 1-year period

6.41%

5.66%

+0.75%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

9.90%

8.60%

+1.30%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

9.90%

10.03%

-0.13%

XBOC vs. PJUL - Expense Ratio Comparison

Both XBOC and PJUL have an expense ratio of 0.79%.


Dividends

XBOC vs. PJUL - Dividend Comparison

Neither XBOC nor PJUL has paid dividends to shareholders.


PositionTTM2025202420232022202120202019
PJUL
Innovator U.S. Equity Power Buffer ETF - July
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.82%
XBOC
Innovator U.S. Equity Accelerated 9 Buffer ETF - October
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


XBOC and PJUL have a correlation of 0.88, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

XBOC has higher volatility (0.78%) compared to PJUL (0.42%). In terms of maximum drawdown, XBOC dropped -13.35% vs PJUL's -18.17%.

On 3-year performance, PJUL leads with 13.95% vs 11.67% for XBOC. Both ETFs have the same 0.79% expense ratio. On volatility, PJUL has been the lower-risk option at 0.42%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, PJUL has performed better with a 13.95% return vs 11.67%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

XBOC and PJUL have the same expense ratio: 0.79% per year.

XBOC and PJUL have nearly identical dividend yields, around 0.00%.

PJUL currently has the higher Sharpe Ratio (2.73 vs 2.15), 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 XBOC and PJUL

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