XLG vs. SPYM
XLG (Invesco S&P 500 Top 50 ETF) and SPYM (State Street SPDR Portfolio S&P 500 ETF) are both S&P 500 funds - XLG tracks the S&P 500 Top 50 Index while SPYM tracks the S&P 500 Index. Both are passively managed. Over the past 10 years, XLG returned 17.04%/yr vs 15.57%/yr for SPYM. Their correlation of 0.84 suggests significant overlap in exposure. XLG charges 0.20%/yr vs 0.02%/yr for SPYM.
Performance
XLG vs. SPYM - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, XLG achieves a 4.36% return, which is significantly lower than SPYM's 10.14% return. Over the past 10 years, XLG has outperformed SPYM with an annualized return of 17.04%, while SPYM has yielded a comparatively lower 15.57% annualized return.
XLG
- 1D
- 0.90%
- 1M
- -2.83%
- YTD
- 4.36%
- 6M
- 4.76%
- 1Y
- 23.96%
- 3Y*
- 22.07%
- 5Y*
- 15.41%
- 10Y*
- 17.04%
SPYM
- 1D
- 1.02%
- 1M
- 1.00%
- YTD
- 10.14%
- 6M
- 10.35%
- 1Y
- 26.85%
- 3Y*
- 20.91%
- 5Y*
- 14.07%
- 10Y*
- 15.57%
XLG vs. SPYM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
XLG Invesco S&P 500 Top 50 ETF | 4.36% | 19.51% | 33.49% | 38.16% | -24.29% | 30.77% | 24.15% | 32.04% | -3.59% | 23.04% |
SPYM State Street SPDR Portfolio S&P 500 ETF | 10.14% | 17.79% | 25.00% | 26.24% | -18.09% | 28.78% | 18.49% | 31.99% | -4.78% | 21.30% |
Correlation
The correlation between XLG and SPYM is 0.93, 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 | 0.93 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.94 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.96 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.94 |
Correlation (All Time) Calculated using the full available price history since Nov 15, 2005 | 0.84 |
The correlation between XLG and SPYM shifts across timeframes, from 0.84 (all time) to 0.96 (5 years), reflecting how their relationship changes across market environments.
XLG vs. SPYM - Sectors Allocation Comparison
Sectors
XLG
SPYM
Technology
Communication Services
Consumer Cyclical
Financial Services
Healthcare
Consumer Defensive
Energy
Industrials
Basic Materials
Real Estate
-
Utilities
-
Technology
XLG
SPYM
Communication Services
XLG
SPYM
Consumer Cyclical
XLG
SPYM
Financial Services
XLG
SPYM
Healthcare
XLG
SPYM
Consumer Defensive
XLG
SPYM
Energy
XLG
SPYM
Industrials
XLG
SPYM
Basic Materials
XLG
SPYM
Real Estate
XLG
-
SPYM
Utilities
XLG
-
SPYM
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
XLG vs. SPYM — Risk / Return Rank
XLG
SPYM
XLG vs. SPYM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Invesco S&P 500 Top 50 ETF (XLG) and State Street SPDR Portfolio S&P 500 ETF (SPYM). 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.
| XLG | SPYM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.44 | ||
| Sortino ratioReturn per unit of downside risk | -0.58 | ||
| Omega ratioGain probability vs. loss probability | 1.31 | 1.40 | -0.09 |
| Calmar ratioReturn relative to maximum drawdown | 1.94 | 3.03 | -1.09 |
| Martin ratioReturn relative to average drawdown | 7.02 | 13.64 | -6.62 |
Loading charts...
Drawdowns
XLG vs. SPYM - Drawdown Comparison
The maximum XLG drawdown since its inception was -52.39%, roughly equal to the maximum SPYM drawdown of -54.46%. Use the drawdown chart below to compare losses from any high point for XLG and SPYM.
Loading charts...
Drawdown Indicators
| XLG | SPYM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -52.39% | -54.46% | +2.07% |
Max Drawdown (1Y)Largest decline over 1 year | -12.41% | -8.90% | -3.51% |
Max Drawdown (3Y)Largest decline over 3 years | -20.70% | -18.72% | -1.98% |
Max Drawdown (5Y)Largest decline over 5 years | -28.02% | -24.48% | -3.54% |
Max Drawdown (10Y)Largest decline over 10 years | -30.46% | -33.87% | +3.41% |
Current DrawdownCurrent decline from peak | -4.38% | -1.42% | -2.96% |
Average DrawdownAverage peak-to-trough decline | -7.63% | -7.14% | -0.49% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.42% | 1.97% | +1.45% |
Volatility
XLG vs. SPYM - Volatility Comparison
Invesco S&P 500 Top 50 ETF (XLG) and State Street SPDR Portfolio S&P 500 ETF (SPYM) have volatilities of 4.80% and 4.70%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| XLG | SPYM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 4.80% | 4.70% | +0.10% |
Volatility (6M)Calculated over the trailing 6-month period | 10.67% | 9.81% | +0.86% |
Volatility (1Y)Calculated over the trailing 1-year period | 13.82% | 12.37% | +1.45% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.77% | 16.89% | +1.88% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 18.88% | 18.04% | +0.84% |
XLG vs. SPYM - Expense Ratio Comparison
XLG has a 0.20% expense ratio, which is higher than SPYM's 0.02% expense ratio. However, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.
Dividends
XLG vs. SPYM - Dividend Comparison
XLG's dividend yield for the trailing twelve months is around 0.62%, less than SPYM's 1.28% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SPYM State Street SPDR Portfolio S&P 500 ETF | 1.28% | 1.13% | 1.28% | 1.44% | 1.69% | 1.25% | 1.54% | 1.79% | 2.23% | 1.75% | 1.97% | 1.98% |
XLG Invesco S&P 500 Top 50 ETF | 0.62% | 0.64% | 0.72% | 0.97% | 1.34% | 0.94% | 1.25% | 1.58% | 2.00% | 1.85% | 2.00% | 2.09% |
Frequently Asked Questions
With a correlation of 0.93, XLG and SPYM move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
XLG has higher volatility (4.80%) compared to SPYM (4.70%). In terms of maximum drawdown, XLG dropped -52.39% vs SPYM's -54.46%.
On 10-year performance, XLG leads with 17.04% vs 15.57% for SPYM. On fees, SPYM is cheaper at 0.02% per year. On volatility, SPYM has been the lower-risk option at 4.70%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, XLG has performed better with a 17.04% return vs 15.57%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SPYM is cheaper with a 0.02% expense ratio, compared with 0.20% for XLG.
SPYM has the higher dividend yield at 1.28%, compared with 0.62% for XLG.
XLG tracks S&P 500 Top 50 Index, while SPYM tracks S&P 500 Index. They also come from different issuers: Invesco and State Street. Their fees differ too: 0.20% for XLG and 0.02% for SPYM.
SPYM currently has the higher Sharpe Ratio (2.18 vs 1.74), 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.
Find the right allocation for XLG and SPYM
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