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XLSI vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XLSI vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Consumer Staples Select Sector SPDR Premium Income ETF (XLSI) 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, XLSI achieves a 3.26% return, which is significantly lower than IQM's 44.08% return.


XLSI

1D
-0.51%
1M
-1.08%
YTD
3.26%
6M
3.30%
1Y
3Y*
5Y*
10Y*

IQM

1D
1.35%
1M
10.43%
YTD
44.08%
6M
40.98%
1Y
79.61%
3Y*
38.44%
5Y*
21.97%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

XLSI vs. IQM - Yearly Performance Comparison


Correlation

The correlation between XLSI and IQM is -0.19, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jul 30, 2025

-0.19

XLSI vs. IQM - Sectors Allocation Comparison


Sectors
XLSI
IQM

Financial Services

99.6%

-

Basic Materials

-

-

Communication Services

-

2.3%

Consumer Cyclical

-

2.9%

Consumer Defensive

-

-

Energy

-

2.3%

Healthcare

-

1.0%

Industrials

-

17.1%

Real Estate

-

-

Technology

-

68.4%

Utilities

-

3.2%

Financial Services

XLSI
99.6%
IQM

-

Basic Materials

XLSI

-

IQM

-

Communication Services

XLSI

-

IQM
2.3%

Consumer Cyclical

XLSI

-

IQM
2.9%

Consumer Defensive

XLSI

-

IQM

-

Energy

XLSI

-

IQM
2.3%

Healthcare

XLSI

-

IQM
1.0%

Industrials

XLSI

-

IQM
17.1%

Real Estate

XLSI

-

IQM

-

Technology

XLSI

-

IQM
68.4%

Utilities

XLSI

-

IQM
3.2%

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Return for Risk

XLSI vs. IQM — Risk / Return Rank

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

XLSI

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


IQM
IQM Risk / Return Rank: 8080
Overall Rank
IQM Sharpe Ratio Rank: 8484
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 6868
Sortino Ratio Rank
IQM Omega Ratio Rank: 7373
Omega Ratio Rank
IQM Calmar Ratio Rank: 9191
Calmar Ratio Rank
IQM Martin Ratio Rank: 8585
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.

XLSI vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Consumer Staples Select Sector SPDR Premium Income ETF (XLSI) 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.

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.


XLSIIQMDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.42

Calmar ratioReturn relative to maximum drawdown

5.44

Martin ratioReturn relative to average drawdown

17.08

XLSI vs. IQM - Sharpe Ratio Comparison


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Drawdowns

XLSI vs. IQM - Drawdown Comparison

The maximum XLSI drawdown since its inception was -7.87%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for XLSI and IQM.


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Drawdown Indicators


XLSIIQMDifference

Max Drawdown

Largest peak-to-trough decline

-7.87%

-44.91%

+37.04%

Max Drawdown (1Y)

Largest decline over 1 year

-14.71%

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

-5.07%

0.00%

-5.07%

Average Drawdown

Average peak-to-trough decline

-3.26%

-12.18%

+8.92%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.68%

Volatility

XLSI vs. IQM - Volatility Comparison


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Volatility by Period


XLSIIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.76%

Volatility (6M)

Calculated over the trailing 6-month period

25.34%

Volatility (1Y)

Calculated over the trailing 1-year period

10.70%

30.87%

-20.17%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.70%

29.43%

-18.73%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.70%

31.01%

-20.31%

XLSI vs. IQM - Expense Ratio Comparison

XLSI has a 0.35% expense ratio, which is lower than IQM's 0.50% expense ratio.


Dividends

XLSI vs. IQM - Dividend Comparison

XLSI's dividend yield for the trailing twelve months is around 10.61%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
XLSI
Consumer Staples Select Sector SPDR Premium Income ETF
10.61%5.34%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


XLSI and IQM have a correlation of -0.19, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, XLSI is cheaper at 0.35% per year. The better choice depends on whether you care most about return, fees, risk, or income.

XLSI is cheaper with a 0.35% expense ratio, compared with 0.50% for IQM.

XLSI has the higher dividend yield at 10.61%, compared with 0.00% for IQM.

XLSI is categorized as Derivative Income, while IQM is Large Cap Growth Equities. They also come from different issuers: State Street and Franklin Templeton. Their fees differ too: 0.35% for XLSI and 0.50% for IQM.

Portfolio Optimizer

Find the right allocation for XLSI and IQM

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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