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ESIX vs. QQQS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

ESIX vs. QQQS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SPDR S&P SmallCap 600 ESG ETF (ESIX) and Invesco NASDAQ Future Gen 200 ETF (QQQS). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


ESIX

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*

QQQS

1D
0.23%
1M
-1.30%
YTD
23.86%
6M
21.94%
1Y
64.33%
3Y*
16.33%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

ESIX vs. QQQS - Yearly Performance Comparison


2026 (YTD)2025202420232022
ESIX
SPDR S&P SmallCap 600 ESG ETF
10.83%1.83%9.66%17.51%6.44%
QQQS
Invesco NASDAQ Future Gen 200 ETF
23.86%23.03%10.20%-1.94%11.47%

Correlation

The correlation between ESIX and QQQS is 0.74, 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

0.74

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

0.80

Correlation (All Time)
Calculated using the full available price history since Oct 13, 2022

0.81

The correlation between ESIX and QQQS has been stable across timeframes, ranging from 0.74 to 0.81 - a consistent structural relationship.

ESIX vs. QQQS - Sectors Allocation Comparison


Sectors
ESIX
QQQS

Industrials

17.2%
4.7%

Financial Services

17.0%
0.1%

Technology

16.6%
42.3%

Consumer Cyclical

12.4%
5.3%

Healthcare

10.8%
40.9%

Real Estate

6.9%

-

Energy

6.7%
2.0%

Basic Materials

4.4%
1.0%

Consumer Defensive

3.0%
1.6%

Communication Services

2.9%
2.1%

Utilities

2.0%

-

Industrials

ESIX
17.2%
QQQS
4.7%

Financial Services

ESIX
17.0%
QQQS
0.1%

Technology

ESIX
16.6%
QQQS
42.3%

Consumer Cyclical

ESIX
12.4%
QQQS
5.3%

Healthcare

ESIX
10.8%
QQQS
40.9%

Real Estate

ESIX
6.9%
QQQS

-

Energy

ESIX
6.7%
QQQS
2.0%

Basic Materials

ESIX
4.4%
QQQS
1.0%

Consumer Defensive

ESIX
3.0%
QQQS
1.6%

Communication Services

ESIX
2.9%
QQQS
2.1%

Utilities

ESIX
2.0%
QQQS

-

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Return for Risk

ESIX vs. QQQS — Risk / Return Rank

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

ESIX

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


QQQS
QQQS Risk / Return Rank: 8080
Overall Rank
QQQS Sharpe Ratio Rank: 8383
Sharpe Ratio Rank
QQQS Sortino Ratio Rank: 7676
Sortino Ratio Rank
QQQS Omega Ratio Rank: 6969
Omega Ratio Rank
QQQS Calmar Ratio Rank: 8989
Calmar Ratio Rank
QQQS 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.

ESIX vs. QQQS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SPDR S&P SmallCap 600 ESG ETF (ESIX) and Invesco NASDAQ Future Gen 200 ETF (QQQS). 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.


ESIXQQQSDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.36

Calmar ratioReturn relative to maximum drawdown

4.75

Martin ratioReturn relative to average drawdown

14.98

ESIX vs. QQQS - Sharpe Ratio Comparison


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Drawdowns

ESIX vs. QQQS - Drawdown Comparison


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Drawdown Indicators


ESIXQQQSDifference

Max Drawdown

Largest peak-to-trough decline

-38.06%

Max Drawdown (1Y)

Largest decline over 1 year

-13.63%

Max Drawdown (3Y)

Largest decline over 3 years

-34.32%

Current Drawdown

Current decline from peak

-5.16%

Average Drawdown

Average peak-to-trough decline

-13.14%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.31%

Volatility

ESIX vs. QQQS - Volatility Comparison


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Volatility by Period


ESIXQQQSDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.68%

Volatility (6M)

Calculated over the trailing 6-month period

19.94%

Volatility (1Y)

Calculated over the trailing 1-year period

27.61%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

28.57%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

28.57%

ESIX vs. QQQS - Expense Ratio Comparison

ESIX has a 0.12% expense ratio, which is lower than QQQS's 0.20% expense ratio. Despite the difference, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.


Dividends

ESIX vs. QQQS - Dividend Comparison

ESIX's dividend yield for the trailing twelve months is around 1.05%, less than QQQS's 2.66% yield.


PositionTTM2025202420232022
ESIX
SPDR S&P SmallCap 600 ESG ETF
1.05%1.64%1.65%1.69%1.54%
QQQS
Invesco NASDAQ Future Gen 200 ETF
2.66%3.48%0.80%0.68%0.04%

Frequently Asked Questions


ESIX and QQQS have a correlation of 0.74, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, ESIX is cheaper at 0.12% per year. The better choice depends on whether you care most about return, fees, risk, or income.

ESIX is cheaper with a 0.12% expense ratio, compared with 0.20% for QQQS.

QQQS has the higher dividend yield at 2.66%, compared with 1.05% for ESIX.

ESIX tracks S&P SmallCap 600 ESG Index, while QQQS tracks Nasdaq Innovators Completion Cap Total Return Index. They also come from different issuers: State Street and Invesco. Their fees differ too: 0.12% for ESIX and 0.20% for QQQS.

Portfolio Optimizer

Find the right allocation for ESIX and QQQS

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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