PortfoliosLab logoPortfoliosLab logo
SBIL vs. JMMF
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SBIL vs. JMMF - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Simplify Government Money Market ETF (SBIL) and JPMorgan 100% U.S. Treasury Securities Money Market ETF (JMMF). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, SBIL achieves a 1.51% return, which is significantly higher than JMMF's 1.42% return.


SBIL

1D
0.00%
1M
0.29%
YTD
1.51%
6M
1.80%
1Y
3Y*
5Y*
10Y*

JMMF

1D
0.02%
1M
0.29%
YTD
1.42%
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SBIL vs. JMMF - Yearly Performance Comparison


Correlation

The correlation between SBIL and JMMF is 0.20, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (All Time)
Calculated using the full available price history since Dec 12, 2025

0.20

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

SBIL vs. JMMF - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Simplify Government Money Market ETF (SBIL) and JPMorgan 100% U.S. Treasury Securities Money Market ETF (JMMF). 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.


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

SBIL vs. JMMF - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


SBILJMMFDifference

Sharpe Ratio (All Time)

Calculated using the full available price history

14.09

6.42

+7.67

Drawdowns

SBIL vs. JMMF - Drawdown Comparison

The maximum SBIL drawdown since its inception was -0.03%, smaller than the maximum JMMF drawdown of -0.14%. Use the drawdown chart below to compare losses from any high point for SBIL and JMMF.


Loading charts...

Drawdown Indicators


SBILJMMFDifference

Max Drawdown

Largest peak-to-trough decline

-0.03%

-0.14%

+0.11%

Current Drawdown

Current decline from peak

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-0.00%

-0.01%

+0.01%

Volatility

SBIL vs. JMMF - Volatility Comparison


Loading charts...

Volatility by Period


SBILJMMFDifference

Volatility (1Y)

Calculated over the trailing 1-year period

0.28%

0.54%

-0.26%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

0.28%

0.54%

-0.26%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

0.28%

0.54%

-0.26%

SBIL vs. JMMF - Expense Ratio Comparison

SBIL has a 0.15% expense ratio, which is lower than JMMF's 0.16% 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

SBIL vs. JMMF - Dividend Comparison

SBIL's dividend yield for the trailing twelve months is around 3.26%, more than JMMF's 1.59% yield.


Frequently Asked Questions


SBIL and JMMF have a correlation of 0.20, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, SBIL is cheaper at 0.15% per year. The better choice depends on whether you care most about return, fees, risk, or income.

SBIL is cheaper with a 0.15% expense ratio, compared with 0.16% for JMMF.

SBIL has the higher dividend yield at 3.26%, compared with 1.59% for JMMF.

They also come from different issuers: Simplify and JPMorgan. Their fees differ too: 0.15% for SBIL and 0.16% for JMMF.

Portfolio Optimizer

Find the right allocation for SBIL and JMMF

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