GSIB vs. SFM
GSIB (Themes Global Systemically Important Banks ETF) is Financials Equities fund actively managed by Themes, while SFM (Sprouts Farmers Market, Inc.) is a stock. Over the past year, GSIB returned 41.62% vs -48.76% for SFM. At a 0.13 correlation, their price movements are largely independent.
Performance
GSIB vs. SFM - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, GSIB achieves a 10.39% return, which is significantly higher than SFM's 8.80% return.
GSIB
- 1D
- 0.33%
- 1M
- 4.05%
- YTD
- 10.39%
- 6M
- 15.52%
- 1Y
- 41.62%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SFM
- 1D
- 4.60%
- 1M
- 4.65%
- YTD
- 8.80%
- 6M
- 3.81%
- 1Y
- -48.76%
- 3Y*
- 36.73%
- 5Y*
- 25.66%
- 10Y*
- 13.98%
GSIB vs. SFM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
GSIB Themes Global Systemically Important Banks ETF | 10.39% | 61.67% | 32.86% | 1.75% |
SFM Sprouts Farmers Market, Inc. | 8.80% | -37.30% | 164.12% | 1.46% |
Correlation
The correlation between GSIB and SFM is -0.03, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.03 |
Correlation (All Time) Calculated using the full available price history since Dec 15, 2023 | 0.13 |
The correlation between GSIB and SFM shifts across timeframes, from -0.03 (1 year) to 0.13 (all time), reflecting how their relationship changes across market environments.
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
GSIB vs. SFM — Risk / Return Rank
GSIB
SFM
GSIB vs. SFM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Themes Global Systemically Important Banks ETF (GSIB) and Sprouts Farmers Market, Inc. (SFM). 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.
| GSIB | SFM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +3.47 | ||
| Sortino ratioReturn per unit of downside risk | +4.89 | ||
| Omega ratioGain probability vs. loss probability | 1.40 | 0.79 | +0.61 |
| Calmar ratioReturn relative to maximum drawdown | 3.01 | -0.79 | +3.79 |
| Martin ratioReturn relative to average drawdown | 10.59 | -1.09 | +11.68 |
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
| GSIB | SFM | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.41 | -1.06 | +3.47 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.66 | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | — | 0.37 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 2.36 | 0.17 | +2.19 |
Drawdowns
GSIB vs. SFM - Drawdown Comparison
The maximum GSIB drawdown since its inception was -17.71%, smaller than the maximum SFM drawdown of -72.88%. Use the drawdown chart below to compare losses from any high point for GSIB and SFM.
Loading charts...
Drawdown Indicators
| GSIB | SFM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -17.71% | -72.88% | +55.17% |
Max Drawdown (1Y)Largest decline over 1 year | -13.90% | -62.17% | +48.27% |
Max Drawdown (3Y)Largest decline over 3 years | — | -63.48% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -63.48% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -63.48% | — |
Current DrawdownCurrent decline from peak | -1.13% | -51.72% | +50.59% |
Average DrawdownAverage peak-to-trough decline | -2.06% | -40.28% | +38.22% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.94% | 44.98% | -41.04% |
Volatility
GSIB vs. SFM - Volatility Comparison
The current volatility for Themes Global Systemically Important Banks ETF (GSIB) is 4.58%, while Sprouts Farmers Market, Inc. (SFM) has a volatility of 13.71%. This indicates that GSIB experiences smaller price fluctuations and is considered to be less risky than SFM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| GSIB | SFM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 4.58% | 13.71% | -9.13% |
Volatility (6M)Calculated over the trailing 6-month period | 14.13% | 30.32% | -16.19% |
Volatility (1Y)Calculated over the trailing 1-year period | 17.39% | 46.09% | -28.70% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.46% | 39.26% | -20.80% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 18.46% | 37.82% | -19.36% |
Dividends
GSIB vs. SFM - Dividend Comparison
GSIB's dividend yield for the trailing twelve months is around 1.73%, while SFM has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
GSIB Themes Global Systemically Important Banks ETF | 1.73% | 1.91% | 1.67% |
SFM Sprouts Farmers Market, Inc. | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
GSIB and SFM have a correlation of -0.03, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SFM has higher volatility (13.71%) compared to GSIB (4.58%). In terms of maximum drawdown, GSIB dropped -17.71% vs SFM's -72.88%.
GSIB currently has the higher Sharpe Ratio (2.41 vs -1.06), 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 GSIB and SFM
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