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THNQ vs. GGTL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

THNQ vs. GGTL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ROBO Global Artificial Intelligence ETF (THNQ) and Gabelli Global Technology Leaders ETF (GGTL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, THNQ achieves a 36.10% return, which is significantly higher than GGTL's 23.84% return.


THNQ

1D
-3.25%
1M
2.00%
YTD
36.10%
6M
33.52%
1Y
66.41%
3Y*
35.10%
5Y*
15.08%
10Y*

GGTL

1D
-4.64%
1M
2.58%
YTD
23.84%
6M
23.84%
1Y
40.67%
3Y*
21.46%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

THNQ vs. GGTL - Yearly Performance Comparison


2026 (YTD)2025202420232022
THNQ
ROBO Global Artificial Intelligence ETF
36.10%29.83%18.82%56.81%-38.48%
GGTL
Gabelli Global Technology Leaders ETF
23.84%19.78%11.07%18.17%-16.10%

Correlation

The correlation between THNQ and GGTL is 0.76, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.76

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

0.75

Correlation (All Time)
Calculated using the full available price history since Jan 5, 2022

0.77

The correlation between THNQ and GGTL has been stable across timeframes, ranging from 0.75 to 0.77 - a consistent structural relationship.

THNQ vs. GGTL - Sectors Allocation Comparison


Sectors
THNQ
GGTL

Technology

74.2%
55.5%

Communication Services

10.5%
2.9%

Consumer Cyclical

7.3%
0.9%

Healthcare

5.2%

-

Financial Services

1.4%

-

Industrials

0.8%
0.1%

Real Estate

0.7%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Utilities

-

-

Technology

THNQ
74.2%
GGTL
55.5%

Communication Services

THNQ
10.5%
GGTL
2.9%

Consumer Cyclical

THNQ
7.3%
GGTL
0.9%

Healthcare

THNQ
5.2%
GGTL

-

Financial Services

THNQ
1.4%
GGTL

-

Industrials

THNQ
0.8%
GGTL
0.1%

Real Estate

THNQ
0.7%
GGTL

-

Basic Materials

THNQ

-

GGTL

-

Consumer Defensive

THNQ

-

GGTL

-

Energy

THNQ

-

GGTL

-

Utilities

THNQ

-

GGTL

-

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Return for Risk

THNQ vs. GGTL — Risk / Return Rank

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

THNQ
THNQ Risk / Return Rank: 7070
Overall Rank
THNQ Sharpe Ratio Rank: 7777
Sharpe Ratio Rank
THNQ Sortino Ratio Rank: 6666
Sortino Ratio Rank
THNQ Omega Ratio Rank: 6565
Omega Ratio Rank
THNQ Calmar Ratio Rank: 7575
Calmar Ratio Rank
THNQ Martin Ratio Rank: 6666
Martin Ratio Rank

GGTL
GGTL Risk / Return Rank: 7676
Overall Rank
GGTL Sharpe Ratio Rank: 7373
Sharpe Ratio Rank
GGTL Sortino Ratio Rank: 6767
Sortino Ratio Rank
GGTL Omega Ratio Rank: 7373
Omega Ratio Rank
GGTL Calmar Ratio Rank: 8787
Calmar Ratio Rank
GGTL Martin Ratio Rank: 8383
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.

THNQ vs. GGTL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ROBO Global Artificial Intelligence ETF (THNQ) and Gabelli Global Technology Leaders ETF (GGTL). 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.


THNQGGTLDifference
Sharpe ratioReturn per unit of total volatility

+0.24

Sortino ratioReturn per unit of downside risk

+0.11

Omega ratioGain probability vs. loss probability

1.37

1.39

-0.02

Calmar ratioReturn relative to maximum drawdown

3.63

4.44

-0.81

Martin ratioReturn relative to average drawdown

11.47

15.15

-3.68

THNQ vs. GGTL - Sharpe Ratio Comparison

The current THNQ Sharpe Ratio is 2.34, which is comparable to the GGTL Sharpe Ratio of 2.10. The chart below compares the historical Sharpe Ratios of THNQ and GGTL, 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

THNQ vs. GGTL - Drawdown Comparison

The maximum THNQ drawdown since its inception was -50.56%, which is greater than GGTL's maximum drawdown of -23.65%. Use the drawdown chart below to compare losses from any high point for THNQ and GGTL.


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Drawdown Indicators


THNQGGTLDifference

Max Drawdown

Largest peak-to-trough decline

-50.56%

-23.65%

-26.91%

Max Drawdown (1Y)

Largest decline over 1 year

-18.39%

-9.20%

-9.19%

Max Drawdown (3Y)

Largest decline over 3 years

-29.88%

-21.46%

-8.42%

Max Drawdown (5Y)

Largest decline over 5 years

-50.56%

Current Drawdown

Current decline from peak

-7.60%

-4.64%

-2.96%

Average Drawdown

Average peak-to-trough decline

-15.00%

-7.40%

-7.60%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.81%

2.69%

+3.12%

Volatility

THNQ vs. GGTL - Volatility Comparison

ROBO Global Artificial Intelligence ETF (THNQ) has a higher volatility of 13.15% compared to Gabelli Global Technology Leaders ETF (GGTL) at 11.18%. This indicates that THNQ's price experiences larger fluctuations and is considered to be riskier than GGTL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


THNQGGTLDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.15%

11.18%

+1.97%

Volatility (6M)

Calculated over the trailing 6-month period

23.09%

16.84%

+6.25%

Volatility (1Y)

Calculated over the trailing 1-year period

28.49%

19.45%

+9.04%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

29.48%

18.19%

+11.29%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

28.89%

18.19%

+10.70%

THNQ vs. GGTL - Expense Ratio Comparison

THNQ has a 0.68% expense ratio, which is lower than GGTL's 0.90% expense ratio.


Dividends

THNQ vs. GGTL - Dividend Comparison

THNQ's dividend yield for the trailing twelve months is around 0.15%, less than GGTL's 0.84% yield.


PositionTTM2025202420232022
GGTL
Gabelli Global Technology Leaders ETF
0.84%1.04%0.75%0.84%0.78%
THNQ
ROBO Global Artificial Intelligence ETF
0.15%0.20%0.00%0.00%0.00%

Frequently Asked Questions


THNQ and GGTL have a correlation of 0.76, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

THNQ has higher volatility (13.15%) compared to GGTL (11.18%). In terms of maximum drawdown, THNQ dropped -50.56% vs GGTL's -23.65%.

On 3-year performance, THNQ leads with 35.10% vs 21.46% for GGTL. On fees, THNQ is cheaper at 0.68% per year. On volatility, GGTL has been the lower-risk option at 11.18%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, THNQ has performed better with a 35.10% return vs 21.46%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

THNQ is cheaper with a 0.68% expense ratio, compared with 0.90% for GGTL.

GGTL has the higher dividend yield at 0.84%, compared with 0.15% for THNQ.

They also come from different issuers: Exchange Traded Concepts and Gabelli. Their fees differ too: 0.68% for THNQ and 0.90% for GGTL.

THNQ currently has the higher Sharpe Ratio (2.34 vs 2.10), 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 THNQ and GGTL

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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