PortfoliosLab logoPortfoliosLab logo
CAML vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

CAML vs. IQM - Performance Comparison

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

Loading charts...

Returns By Period

In the year-to-date period, CAML achieves a 2.44% return, which is significantly lower than IQM's 17.24% return.


CAML

1D
0.88%
1M
-1.91%
6M
2.92%
YTD
2.44%
1Y
6.37%
3Y*
5Y*
10Y*
ALL TIME*
16.40%

IQM

1D
0.65%
1M
-8.20%
6M
11.29%
YTD
17.24%
1Y
32.29%
3Y*
27.64%
5Y*
15.91%
10Y*
ALL TIME*
24.95%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$1.01M$985.32K$958.87K
$879.80K$730.37K$921.63K

CAML vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023
CAML
Congress Large Cap Growth ETF
2.44%12.43%23.24%10.11%
IQM
Franklin Intelligent Machines ETF
17.24%30.76%31.03%11.57%

Correlation

The correlation between CAML and IQM is 0.80, 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.

0.80

Correlation (All Time)
Calculated using the full available price history since Aug 22, 2023

0.85

The correlation between CAML and IQM has been stable across timeframes, ranging from 0.80 to 0.85 - a consistent structural relationship.

CAML vs. IQM - Sectors Allocation Comparison


Sectors
CAML
IQM

Technology

44.7%
70.5%

Industrials

13.6%
14.8%

Communication Services

9.0%
1.1%

Financial Services

8.8%

-

Consumer Cyclical

8.3%
2.7%

Healthcare

6.2%
1.0%

Utilities

3.4%
3.5%

Real Estate

2.7%

-

Consumer Defensive

2.3%

-

Energy

2.3%
3.1%

Basic Materials

2.2%

-

Technology

CAML
44.7%
IQM
70.5%

Industrials

CAML
13.6%
IQM
14.8%

Communication Services

CAML
9.0%
IQM
1.1%

Financial Services

CAML
8.8%
IQM

-

Consumer Cyclical

CAML
8.3%
IQM
2.7%

Healthcare

CAML
6.2%
IQM
1.0%

Utilities

CAML
3.4%
IQM
3.5%

Real Estate

CAML
2.7%
IQM

-

Consumer Defensive

CAML
2.3%
IQM

-

Energy

CAML
2.3%
IQM
3.1%

Basic Materials

CAML
2.2%
IQM

-

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

CAML vs. IQM — Risk / Return Rank

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

CAML
CAML Risk / Return Rank: 1717
Overall Rank
CAML Sharpe Ratio Rank: 1818
Sharpe Ratio Rank
CAML Sortino Ratio Rank: 1717
Sortino Ratio Rank
CAML Omega Ratio Rank: 1717
Omega Ratio Rank
CAML Calmar Ratio Rank: 1616
Calmar Ratio Rank
CAML Martin Ratio Rank: 1818
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 3535
Overall Rank
IQM Sharpe Ratio Rank: 3434
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 3333
Sortino Ratio Rank
IQM Omega Ratio Rank: 3535
Omega Ratio Rank
IQM Calmar Ratio Rank: 3434
Calmar Ratio Rank
IQM Martin Ratio Rank: 4242
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.

CAML vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Congress Large Cap Growth ETF (CAML) 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.


CAMLIQMDifference
Sharpe ratioReturn per unit of total volatility

-0.52

Sortino ratioReturn per unit of downside risk

-0.72

Omega ratioGain probability vs. loss probability

1.06

1.16

-0.10

Calmar ratioReturn relative to maximum drawdown

0.33

1.18

-0.85

Martin ratioReturn relative to average drawdown

1.05

4.54

-3.49

CAML vs. IQM - Sharpe Ratio Comparison

The current CAML Sharpe Ratio is 0.31, which is lower than the IQM Sharpe Ratio of 0.83. The chart below compares the historical Sharpe Ratios of CAML 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.


Loading charts...

Drawdowns

CAML vs. IQM - Drawdown Comparison

The maximum CAML drawdown since its inception was -21.06%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for CAML and IQM.


Loading charts...

Drawdown Indicators


CAMLIQMDifference

Max Drawdown

Largest peak-to-trough decline

-21.06%

-44.91%

+23.85%

Max Drawdown (1Y)

Largest decline over 1 year

-14.86%

-25.28%

+10.42%

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

-4.03%

-18.62%

+14.59%

Average Drawdown

Average peak-to-trough decline

-3.06%

-12.19%

+9.13%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.67%

6.58%

-1.91%

Volatility

CAML vs. IQM - Volatility Comparison

The current volatility for Congress Large Cap Growth ETF (CAML) is 4.91%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 16.22%. This indicates that CAML 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.


Loading charts...

Volatility by Period


CAMLIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.91%

16.22%

-11.31%

Volatility (6M)

Calculated over the trailing 6-month period

12.82%

31.20%

-18.38%

Volatility (1Y)

Calculated over the trailing 1-year period

15.88%

36.13%

-20.25%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.82%

30.62%

-12.80%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.82%

31.69%

-13.87%

CAML vs. IQM - Expense Ratio Comparison

CAML has a 0.65% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

CAML vs. IQM - Dividend Comparison

Neither CAML nor IQM has paid dividends to shareholders.


PositionTTM202520242023202220212020
CAML
Congress Large Cap Growth ETF
0.00%0.00%0.06%0.15%0.00%0.00%0.00%
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%

Frequently Asked Questions


CAML and IQM have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IQM has higher volatility (16.22%) compared to CAML (4.91%). In terms of maximum drawdown, CAML dropped -21.06% vs IQM's -44.91%.

On 1-year performance, IQM leads with 32.29% vs 6.37% for CAML. On fees, IQM is cheaper at 0.50% per year. On volatility, CAML has been the lower-risk option at 4.91%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, IQM has performed better with a 32.29% return vs 6.37%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IQM is cheaper with a 0.50% expense ratio, compared with 0.65% for CAML.

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

They also come from different issuers: Congress and Franklin Templeton. Their fees differ too: 0.65% for CAML and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (0.83 vs 0.31), 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 CAML 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.

Open Portfolio Optimizer