PortfoliosLab logoPortfoliosLab logo
QQQI vs. QNXT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QQQI vs. QNXT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Nasdaq-100 High Income ETF (QQQI) and iShares Nasdaq-100 ex Top 30 ETF (QNXT). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, QQQI achieves a 13.43% return, which is significantly lower than QNXT's 15.67% return.


QQQI

1D
-0.17%
1M
6.91%
YTD
13.43%
6M
12.92%
1Y
30.41%
3Y*
5Y*
10Y*

QNXT

1D
-0.61%
1M
9.65%
YTD
15.67%
6M
13.13%
1Y
25.34%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

QQQI vs. QNXT - Yearly Performance Comparison


2026 (YTD)20252024
QQQI
NEOS Nasdaq-100 High Income ETF
13.43%18.62%4.44%
QNXT
iShares Nasdaq-100 ex Top 30 ETF
15.67%14.97%-2.52%

Correlation

The correlation between QQQI and QNXT is 0.82, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


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

0.82

Correlation (All Time)
Calculated using the full available price history since Oct 25, 2024

0.84

The correlation between QQQI and QNXT has been stable across timeframes, ranging from 0.82 to 0.84 - a consistent structural relationship.

QQQI vs. QNXT - Sectors Allocation Comparison


Sectors
QQQI
QNXT

Technology

53.3%
40.3%

Communication Services

15.7%
8.8%

Consumer Cyclical

12.1%
17.0%

Consumer Defensive

7.7%
5.7%

Healthcare

4.3%
7.5%

Industrials

3.3%
10.6%

Utilities

1.5%
6.1%

Basic Materials

1.2%

-

Energy

0.7%
2.7%

Financial Services

0.3%
1.0%

Real Estate

0.1%
0.3%

Technology

QQQI
53.3%
QNXT
40.3%

Communication Services

QQQI
15.7%
QNXT
8.8%

Consumer Cyclical

QQQI
12.1%
QNXT
17.0%

Consumer Defensive

QQQI
7.7%
QNXT
5.7%

Healthcare

QQQI
4.3%
QNXT
7.5%

Industrials

QQQI
3.3%
QNXT
10.6%

Utilities

QQQI
1.5%
QNXT
6.1%

Basic Materials

QQQI
1.2%
QNXT

-

Energy

QQQI
0.7%
QNXT
2.7%

Financial Services

QQQI
0.3%
QNXT
1.0%

Real Estate

QQQI
0.1%
QNXT
0.3%

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

QQQI vs. QNXT — Risk / Return Rank

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

QQQI
QQQI Risk / Return Rank: 6868
Overall Rank
QQQI Sharpe Ratio Rank: 7070
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 6666
Sortino Ratio Rank
QQQI Omega Ratio Rank: 7070
Omega Ratio Rank
QQQI Calmar Ratio Rank: 6363
Calmar Ratio Rank
QQQI Martin Ratio Rank: 7474
Martin Ratio Rank

QNXT
QNXT Risk / Return Rank: 4949
Overall Rank
QNXT Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
QNXT Sortino Ratio Rank: 4949
Sortino Ratio Rank
QNXT Omega Ratio Rank: 4747
Omega Ratio Rank
QNXT Calmar Ratio Rank: 5252
Calmar Ratio Rank
QNXT Martin Ratio Rank: 4949
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.

QQQI vs. QNXT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS Nasdaq-100 High Income ETF (QQQI) and iShares Nasdaq-100 ex Top 30 ETF (QNXT). 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.


QQQIQNXTDifference
Sharpe ratioReturn per unit of total volatility

+0.66

Sortino ratioReturn per unit of downside risk

+0.75

Omega ratioGain probability vs. loss probability

1.43

1.29

+0.14

Calmar ratioReturn relative to maximum drawdown

3.18

2.50

+0.67

Martin ratioReturn relative to average drawdown

14.27

8.17

+6.10

QQQI vs. QNXT - Sharpe Ratio Comparison

The current QQQI Sharpe Ratio is 2.35, which is higher than the QNXT Sharpe Ratio of 1.70. The chart below compares the historical Sharpe Ratios of QQQI and QNXT, 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...

Sharpe Ratios by Period


QQQIQNXTDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.35

1.70

+0.66

Sharpe Ratio (All Time)

Calculated using the full available price history

1.34

0.90

+0.44

Drawdowns

QQQI vs. QNXT - Drawdown Comparison

The maximum QQQI drawdown since its inception was -20.00%, smaller than the maximum QNXT drawdown of -22.25%. Use the drawdown chart below to compare losses from any high point for QQQI and QNXT.


Loading charts...

Drawdown Indicators


QQQIQNXTDifference

Max Drawdown

Largest peak-to-trough decline

-20.00%

-22.25%

+2.25%

Max Drawdown (1Y)

Largest decline over 1 year

-9.61%

-10.16%

+0.55%

Current Drawdown

Current decline from peak

-0.17%

-0.61%

+0.44%

Average Drawdown

Average peak-to-trough decline

-2.20%

-3.79%

+1.59%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.14%

3.11%

-0.97%

Volatility

QQQI vs. QNXT - Volatility Comparison

The current volatility for NEOS Nasdaq-100 High Income ETF (QQQI) is 2.68%, while iShares Nasdaq-100 ex Top 30 ETF (QNXT) has a volatility of 3.52%. This indicates that QQQI experiences smaller price fluctuations and is considered to be less risky than QNXT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


QQQIQNXTDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.68%

3.52%

-0.84%

Volatility (6M)

Calculated over the trailing 6-month period

9.85%

10.92%

-1.07%

Volatility (1Y)

Calculated over the trailing 1-year period

12.98%

15.05%

-2.07%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.07%

19.73%

-2.66%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.07%

19.73%

-2.66%

QQQI vs. QNXT - Expense Ratio Comparison

QQQI has a 0.68% expense ratio, which is higher than QNXT's 0.20% expense ratio.


Dividends

QQQI vs. QNXT - Dividend Comparison

QQQI's dividend yield for the trailing twelve months is around 13.19%, more than QNXT's 0.60% yield.


PositionTTM20252024
QNXT
iShares Nasdaq-100 ex Top 30 ETF
0.60%0.64%0.22%
QQQI
NEOS Nasdaq-100 High Income ETF
13.19%13.82%12.85%

Frequently Asked Questions


QQQI and QNXT have a correlation of 0.82, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

QNXT has higher volatility (3.52%) compared to QQQI (2.68%). In terms of maximum drawdown, QQQI dropped -20.00% vs QNXT's -22.25%.

On 1-year performance, QQQI leads with 30.41% vs 25.34% for QNXT. On fees, QNXT is cheaper at 0.20% per year. On volatility, QQQI has been the lower-risk option at 2.68%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QQQI has performed better with a 30.41% return vs 25.34%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

QNXT is cheaper with a 0.20% expense ratio, compared with 0.68% for QQQI.

QQQI has the higher dividend yield at 13.19%, compared with 0.60% for QNXT.

They also come from different issuers: Neos and iShares. Their fees differ too: 0.68% for QQQI and 0.20% for QNXT.

QQQI currently has the higher Sharpe Ratio (2.35 vs 1.70), 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 QQQI and QNXT

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