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IQM vs. XDAT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

IQM vs. XDAT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Franklin Intelligent Machines ETF (IQM) and Franklin Exponential Data ETF (XDAT). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, IQM achieves a 19.53% return, which is significantly higher than XDAT's -0.52% return.


IQM

1D
1.95%
1M
-6.41%
6M
13.56%
YTD
19.53%
1Y
34.87%
3Y*
30.20%
5Y*
15.99%
10Y*
ALL TIME*
25.29%

XDAT

1D
3.70%
1M
3.05%
6M
9.55%
YTD
-0.52%
1Y
-2.03%
3Y*
11.37%
5Y*
-1.82%
10Y*
ALL TIME*
0.44%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$905.23K$711.02K$931.48K
$42.52K$24.92K$17.00K

IQM vs. XDAT - Yearly Performance Comparison


2026 (YTD)20252024202320222021
IQM
Franklin Intelligent Machines ETF
19.53%30.76%31.03%41.06%-33.36%17.91%
XDAT
Franklin Exponential Data ETF
-0.52%1.87%16.54%45.77%-45.71%9.61%

Correlation

The correlation between IQM and XDAT is 0.56, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.56

Correlation (3Y)
Balances recent behavior with more history.

0.70

Correlation (5Y)
Shows whether the relationship held over a longer period.

0.77

Correlation (All Time)
Calculated using the full available price history since Jan 14, 2021

0.77

Over the past year, the correlation between IQM and XDAT has dropped to 0.56 - well below their long-term average of 0.77, suggesting their price drivers have been diverging.

IQM vs. XDAT - Sectors Allocation Comparison


Sectors
IQM
XDAT

Technology

70.5%
65.2%

Industrials

14.8%
0.3%

Utilities

3.5%

-

Energy

3.1%

-

Consumer Cyclical

2.7%
0.5%

Communication Services

1.1%
28.9%

Healthcare

1.0%
2.6%

Basic Materials

-

-

Consumer Defensive

-

-

Financial Services

-

2.3%

Real Estate

-

2.9%

Technology

IQM
70.5%
XDAT
65.2%

Industrials

IQM
14.8%
XDAT
0.3%

Utilities

IQM
3.5%
XDAT

-

Energy

IQM
3.1%
XDAT

-

Consumer Cyclical

IQM
2.7%
XDAT
0.5%

Communication Services

IQM
1.1%
XDAT
28.9%

Healthcare

IQM
1.0%
XDAT
2.6%

Basic Materials

IQM

-

XDAT

-

Consumer Defensive

IQM

-

XDAT

-

Financial Services

IQM

-

XDAT
2.3%

Real Estate

IQM

-

XDAT
2.9%

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Return for Risk

IQM vs. XDAT — Risk / Return Rank

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

IQM
IQM Risk / Return Rank: 3939
Overall Rank
IQM Sharpe Ratio Rank: 3838
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 3737
Sortino Ratio Rank
IQM Omega Ratio Rank: 3838
Omega Ratio Rank
IQM Calmar Ratio Rank: 3838
Calmar Ratio Rank
IQM Martin Ratio Rank: 4545
Martin Ratio Rank

XDAT
XDAT Risk / Return Rank: 1010
Overall Rank
XDAT Sharpe Ratio Rank: 1010
Sharpe Ratio Rank
XDAT Sortino Ratio Rank: 1010
Sortino Ratio Rank
XDAT Omega Ratio Rank: 1010
Omega Ratio Rank
XDAT Calmar Ratio Rank: 1010
Calmar Ratio Rank
XDAT Martin Ratio Rank: 1010
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.

IQM vs. XDAT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Franklin Intelligent Machines ETF (IQM) and Franklin Exponential Data ETF (XDAT). 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.


IQMXDATDifference
Sharpe ratioReturn per unit of total volatility

+1.05

Sortino ratioReturn per unit of downside risk

+1.36

Omega ratioGain probability vs. loss probability

1.19

1.01

+0.18

Calmar ratioReturn relative to maximum drawdown

1.39

-0.07

+1.45

Martin ratioReturn relative to average drawdown

5.25

-0.14

+5.38

IQM vs. XDAT - Sharpe Ratio Comparison

The current IQM Sharpe Ratio is 0.97, which is higher than the XDAT Sharpe Ratio of -0.08. The chart below compares the historical Sharpe Ratios of IQM and XDAT, 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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Drawdowns

IQM vs. XDAT - Drawdown Comparison

The maximum IQM drawdown since its inception was -44.91%, smaller than the maximum XDAT drawdown of -54.87%. Use the drawdown chart below to compare losses from any high point for IQM and XDAT.


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Drawdown Indicators


IQMXDATDifference

Max Drawdown

Largest peak-to-trough decline

-44.91%

-54.87%

+9.96%

Max Drawdown (1Y)

Largest decline over 1 year

-25.28%

-29.56%

+4.28%

Max Drawdown (3Y)

Largest decline over 3 years

-30.42%

-29.56%

-0.86%

Max Drawdown (5Y)

Largest decline over 5 years

-44.91%

-54.87%

+9.96%

Current Drawdown

Current decline from peak

-17.03%

-16.77%

-0.26%

Average Drawdown

Average peak-to-trough decline

-12.20%

-25.73%

+13.53%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.66%

14.89%

-8.23%

Volatility

IQM vs. XDAT - Volatility Comparison

Franklin Intelligent Machines ETF (IQM) has a higher volatility of 15.54% compared to Franklin Exponential Data ETF (XDAT) at 7.45%. This indicates that IQM's price experiences larger fluctuations and is considered to be riskier than XDAT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


IQMXDATDifference

Volatility (1M)

Calculated over the trailing 1-month period

15.54%

7.45%

+8.09%

Volatility (6M)

Calculated over the trailing 6-month period

31.13%

20.83%

+10.30%

Volatility (1Y)

Calculated over the trailing 1-year period

36.17%

25.26%

+10.91%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

30.64%

29.69%

+0.95%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

31.69%

29.37%

+2.32%

IQM vs. XDAT - Expense Ratio Comparison

Both IQM and XDAT have an expense ratio of 0.50%.


Dividends

IQM vs. XDAT - Dividend Comparison

Neither IQM nor XDAT has paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
XDAT
Franklin Exponential Data ETF
0.00%0.00%0.13%0.00%0.00%0.00%0.00%

Frequently Asked Questions


IQM and XDAT have a correlation of 0.56, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IQM has higher volatility (15.54%) compared to XDAT (7.45%). In terms of maximum drawdown, IQM dropped -44.91% vs XDAT's -54.87%.

On 5-year performance, IQM leads with 15.99% vs -1.82% for XDAT. Both ETFs have the same 0.50% expense ratio. On volatility, XDAT has been the lower-risk option at 7.45%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, IQM has performed better with a 15.99% return vs -1.82%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IQM and XDAT have the same expense ratio: 0.50% per year.

IQM and XDAT have nearly identical dividend yields, around 0.00%.

IQM currently has the higher Sharpe Ratio (0.97 vs -0.08), 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 IQM and XDAT

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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