SNSG.L vs. GXLK.L
SNSG.L (Global X Internet of Things UCITS ETF USD Accumulating) and GXLK.L (SPDR S&P US Technology Select Sector UCITS ETF) are both Technology Equities funds tracking the MSCI World/Information Tech NR USD, from Global X and State Street respectively. Both are passively managed. Over the past 3 years, SNSG.L returned 15.17%/yr vs 26.51%/yr for GXLK.L. A 0.72 correlation means they provide meaningful diversification when combined. SNSG.L charges 0.60%/yr vs 0.15%/yr for GXLK.L.
Performance
SNSG.L vs. GXLK.L - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, SNSG.L achieves a 43.59% return, which is significantly higher than GXLK.L's 23.38% return.
SNSG.L
- 1D
- -0.66%
- 1M
- 17.84%
- YTD
- 43.59%
- 6M
- 40.40%
- 1Y
- 49.16%
- 3Y*
- 15.17%
- 5Y*
- —
- 10Y*
- —
GXLK.L
- 1D
- -2.05%
- 1M
- 12.00%
- YTD
- 23.38%
- 6M
- 21.44%
- 1Y
- 52.82%
- 3Y*
- 26.51%
- 5Y*
- —
- 10Y*
- —
SNSG.L vs. GXLK.L - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | |
|---|---|---|---|---|---|
SNSG.L Global X Internet of Things UCITS ETF USD Accumulating | 43.59% | -0.58% | 0.84% | 16.82% | -4.96% |
GXLK.L SPDR S&P US Technology Select Sector UCITS ETF | 23.38% | 15.88% | 24.73% | 48.31% | -16.12% |
Correlation
The correlation between SNSG.L and GXLK.L is 0.64, 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 | 0.64 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.68 |
Correlation (All Time) Calculated using the full available price history since Apr 5, 2022 | 0.72 |
The correlation between SNSG.L and GXLK.L has been stable across timeframes, ranging from 0.64 to 0.72 - a consistent structural relationship.
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
SNSG.L vs. GXLK.L — Risk / Return Rank
SNSG.L
GXLK.L
SNSG.L vs. GXLK.L - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Global X Internet of Things UCITS ETF USD Accumulating (SNSG.L) and SPDR S&P US Technology Select Sector UCITS ETF (GXLK.L). 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.
| SNSG.L | GXLK.L | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.41 | ||
| Sortino ratioReturn per unit of downside risk | -0.33 | ||
| Omega ratioGain probability vs. loss probability | 1.39 | 1.46 | -0.07 |
| Calmar ratioReturn relative to maximum drawdown | 3.85 | 3.21 | +0.64 |
| Martin ratioReturn relative to average drawdown | 10.31 | 8.20 | +2.11 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| SNSG.L | GXLK.L | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.36 | 2.77 | -0.41 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.33 | 0.79 | -0.46 |
Drawdowns
SNSG.L vs. GXLK.L - Drawdown Comparison
The maximum SNSG.L drawdown since its inception was -30.09%, which is greater than GXLK.L's maximum drawdown of -28.24%. Use the drawdown chart below to compare losses from any high point for SNSG.L and GXLK.L.
Loading charts...
Drawdown Indicators
| SNSG.L | GXLK.L | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -30.09% | -28.24% | -1.85% |
Max Drawdown (1Y)Largest decline over 1 year | -12.71% | -16.67% | +3.96% |
Max Drawdown (3Y)Largest decline over 3 years | -29.12% | -28.24% | -0.88% |
Current DrawdownCurrent decline from peak | -0.66% | -2.76% | +2.10% |
Average DrawdownAverage peak-to-trough decline | -10.66% | -7.64% | -3.02% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.76% | 6.54% | -1.78% |
Volatility
SNSG.L vs. GXLK.L - Volatility Comparison
Global X Internet of Things UCITS ETF USD Accumulating (SNSG.L) has a higher volatility of 8.29% compared to SPDR S&P US Technology Select Sector UCITS ETF (GXLK.L) at 6.90%. This indicates that SNSG.L's price experiences larger fluctuations and is considered to be riskier than GXLK.L based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| SNSG.L | GXLK.L | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 8.29% | 6.90% | +1.39% |
Volatility (6M)Calculated over the trailing 6-month period | 15.93% | 14.09% | +1.84% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.76% | 19.32% | +1.44% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 21.80% | 26.83% | -5.03% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 21.80% | 26.83% | -5.03% |
SNSG.L vs. GXLK.L - Expense Ratio Comparison
SNSG.L has a 0.60% expense ratio, which is higher than GXLK.L's 0.15% expense ratio.
Dividends
SNSG.L vs. GXLK.L - Dividend Comparison
Neither SNSG.L nor GXLK.L has paid dividends to shareholders.
Frequently Asked Questions
SNSG.L and GXLK.L have a correlation of 0.64, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, GXLK.L is cheaper at 0.15% per year. The better choice depends on whether you care most about return, fees, risk, or income.
GXLK.L is cheaper with a 0.15% expense ratio, compared with 0.60% for SNSG.L.
Both ETFs track MSCI World/Information Tech NR USD. They also come from different issuers: Global X and State Street. Their fees differ too: 0.60% for SNSG.L and 0.15% for GXLK.L.
Find the right allocation for SNSG.L and GXLK.L
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