BUYZ vs. IQM

Last updated Aug 5, 2026

BUYZ (Franklin Disruptive Commerce ETF) and IQM (Franklin Intelligent Machines ETF) are both exchange-traded funds - BUYZ is a Large Cap Growth Equities fund actively managed by Franklin Templeton, while IQM is a Technology Equities fund actively managed by Franklin Templeton. Both are actively managed. Over the past 5 years, BUYZ returned -7.10%/yr vs 17.02%/yr for IQM. Their 0.74 correlation means they have sometimes moved together and sometimes differently. Both charge a 0.50% expense ratio.

Performance

BUYZ vs. IQM - Performance Comparison

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

Returns By Period

In the year-to-date period, BUYZ achieves a -10.19% return, which is significantly lower than IQM's 25.62% return.

BUYZ

• 1D: 1.33%
• 1M: 2.85%
• 6M: 0.22%
• YTD: -10.19%
• 1Y: -12.12%
• 3Y*: 11.06%
• 5Y*: -7.10%
• 10Y*: —
• ALL TIME*: 6.84%

IQM

• 1D: 5.09%
• 1M: -1.65%
• 6M: 18.23%
• YTD: 25.62%
• 1Y: 38.59%
• 3Y*: 32.37%
• 5Y*: 17.02%
• 10Y*: —
• ALL TIME*: 26.25%

*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison

Position	Avg. Volume Value (2W)	Avg. Volume Value (1M)	Avg. Volume Value (3M)
BUYZ Franklin Disruptive Commerce ETF	$13.78K	$15.43K	$16.35K
IQM Franklin Intelligent Machines ETF	$951.27K	$724.17K	$941.24K

BUYZ vs. IQM - Yearly Performance Comparison

	2026 (YTD)	2025	2024	2023	2022	2021	2020
BUYZ Franklin Disruptive Commerce ETF	-10.19%	8.70%	28.25%	39.13%	-49.81%	-19.38%	117.10%
IQM Franklin Intelligent Machines ETF	25.62%	30.76%	31.03%	41.06%	-33.36%	25.18%	78.48%

Correlation

The correlation between BUYZ and IQM is 0.41, which is low. Their historical price movements had little consistent relationship.

	Correlation
Correlation (1Y) Focuses on recent behavior, but can change the most.	0.41
Correlation (3Y) Balances recent behavior with more history.	0.63
Correlation (5Y) Shows whether the relationship held over a longer period.	0.74
Correlation (All Time) Calculated using the full available price history since Feb 28, 2020	0.74

Over the past year, the correlation between BUYZ and IQM has dropped to 0.41 - well below their long-term average of 0.74, suggesting their price drivers have been diverging.

BUYZ vs. IQM - Sectors Allocation Comparison

Sectors	BUYZ	IQM
Consumer Cyclical	40.0%	2.7%
Communication Services	22.3%	1.1%
Technology	15.2%	70.5%
Financial Services	9.0%	-
Consumer Defensive	5.8%	-
Industrials	5.3%	14.8%
Real Estate	2.5%	-
Healthcare	0.7%	1.0%
Basic Materials	-	-
Energy	-	3.1%
Utilities	-	3.5%

Return for Risk

BUYZ vs. IQM — Risk / Return Rank

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

BUYZ

BUYZ Risk / Return Rank: 5
BUYZ Sharpe Ratio Rank: 5
BUYZ Sortino Ratio Rank: 5
BUYZ Omega Ratio Rank: 5
BUYZ Calmar Ratio Rank: 6
BUYZ Martin Ratio Rank: 6

IQM

IQM Risk / Return Rank: 39
IQM Sharpe Ratio Rank: 38
IQM Sortino Ratio Rank: 37
IQM Omega Ratio Rank: 38
IQM Calmar Ratio Rank: 39
IQM Martin Ratio Rank: 46

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.

BUYZ vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Franklin Disruptive Commerce ETF (BUYZ) 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.

	BUYZ	IQM	Difference
Sharpe ratio: Return per unit of total volatility	-0.53	1.07	-1.59
Sortino ratio: Return per unit of downside risk	-0.58	1.53	-2.11
Omega ratio: Gain probability vs. loss probability	0.93	1.20	-0.27
Calmar ratio: Return relative to maximum drawdown	-0.39	1.53	-1.93
Martin ratio: Return relative to average drawdown	-0.68	5.76	-6.44

BUYZ vs. IQM - Sharpe Ratio Comparison

The current BUYZ Sharpe Ratio is -0.53, which is lower than the IQM Sharpe Ratio of 1.07. The chart below compares the historical Sharpe Ratios of BUYZ and IQM, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.

Drawdowns

BUYZ vs. IQM - Drawdown Comparison

The maximum BUYZ drawdown since its inception was -68.04%, which is greater than IQM's maximum drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for BUYZ and IQM.

Drawdown Indicators

	BUYZ	IQM	Difference
Max Drawdown Largest peak-to-trough decline	-68.04%	-44.91%	-23.13%
Max Drawdown (1Y) Largest decline over 1 year	-30.85%	-25.28%	-5.57%
Max Drawdown (3Y) Largest decline over 3 years	-30.85%	-30.42%	-0.43%
Max Drawdown (5Y) Largest decline over 5 years	-63.04%	-44.91%	-18.13%
Current Drawdown Current decline from peak	-42.03%	-12.81%	-29.22%
Average Drawdown Average peak-to-trough decline	-38.89%	-12.20%	-26.69%
Ulcer Index Depth and duration of drawdowns from previous peaks	17.88%	6.71%	+11.17%

Volatility

BUYZ vs. IQM - Volatility Comparison

The current volatility for Franklin Disruptive Commerce ETF (BUYZ) is 6.54%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 16.19%. This indicates that BUYZ experiences smaller price fluctuations and is considered to be less risky than IQM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.

Volatility by Period

	BUYZ	IQM	Difference
Volatility (1M) Calculated over the trailing 1-month period	6.54%	16.19%	-9.65%
Volatility (6M) Calculated over the trailing 6-month period	18.14%	31.51%	-13.37%
Volatility (1Y) Calculated over the trailing 1-year period	23.25%	36.44%	-13.19%
Volatility (5Y) Calculated over the trailing 5-year period, annualized	27.28%	30.72%	-3.44%
Volatility (10Y) Calculated over the trailing 10-year period, annualized	29.78%	31.74%	-1.96%

BUYZ vs. IQM - Expense Ratio Comparison

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

Dividends

BUYZ vs. IQM - Dividend Comparison

Neither BUYZ nor IQM has paid dividends to shareholders.

Position	TTM	2025	2024	2023	2022	2021	2020
BUYZ Franklin Disruptive Commerce ETF	0.00%	0.00%	0.07%	0.00%	0.00%	0.77%	0.00%
IQM Franklin Intelligent Machines ETF	0.00%	0.00%	0.00%	0.00%	0.00%	0.17%	0.01%

Frequently Asked Questions

Can I hold both BUYZ and IQM in my portfolio?

BUYZ and IQM have a correlation of 0.41, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Which is riskier, BUYZ or IQM?

IQM has higher volatility (16.19%) compared to BUYZ (6.54%). In terms of maximum drawdown, BUYZ dropped -68.04% vs IQM's -44.91%.

Which ETF is better, BUYZ or IQM?

On 5-year performance, IQM leads with 17.02% vs -7.10% for BUYZ. Both ETFs have the same 0.50% expense ratio. On volatility, BUYZ has been the lower-risk option at 6.54%. The better choice depends on whether you care most about return, fees, risk, or income.

Which ETF has performed better, BUYZ or IQM?

Over the 5-year period, IQM has performed better with a 17.02% return vs -7.10%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

Which ETF is cheaper, BUYZ or IQM?

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

Which ETF pays a higher dividend yield, BUYZ or IQM?

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

What is the main difference between BUYZ and IQM?

BUYZ is categorized as Large Cap Growth Equities, while IQM is Technology Equities.

Which has better risk-adjusted returns?

IQM currently has the higher Sharpe Ratio (1.07 vs -0.53), 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.