PortfoliosLab logoPortfoliosLab logo
KAT vs. GXLC
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

KAT vs. GXLC - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Scharf ETF (KAT) and Global X U.S. 500 ETF (GXLC). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, KAT achieves a -2.36% return, which is significantly lower than GXLC's 9.76% return.


KAT

1D
-0.78%
1M
-2.67%
YTD
-2.36%
6M
-2.49%
1Y
3Y*
5Y*
10Y*

GXLC

1D
-0.47%
1M
0.20%
YTD
9.76%
6M
9.33%
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

KAT vs. GXLC - Yearly Performance Comparison


2026 (YTD)2025
KAT
Scharf ETF
-2.36%-1.66%
GXLC
Global X U.S. 500 ETF
9.76%3.22%

Correlation

The correlation between KAT and GXLC is 0.65, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (All Time)
Calculated using the full available price history since Sep 24, 2025

0.65

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

KAT vs. GXLC - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Scharf ETF (KAT) and Global X U.S. 500 ETF (GXLC). 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.


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

KAT vs. GXLC - Sharpe Ratio Comparison


Loading charts...

Drawdowns

KAT vs. GXLC - Drawdown Comparison

The maximum KAT drawdown since its inception was -9.25%, roughly equal to the maximum GXLC drawdown of -9.08%. Use the drawdown chart below to compare losses from any high point for KAT and GXLC.


Loading charts...

Drawdown Indicators


KATGXLCDifference

Max Drawdown

Largest peak-to-trough decline

-9.25%

-9.08%

-0.17%

Current Drawdown

Current decline from peak

-7.56%

-1.76%

-5.80%

Average Drawdown

Average peak-to-trough decline

-3.33%

-1.53%

-1.80%

Volatility

KAT vs. GXLC - Volatility Comparison


Loading charts...

Volatility by Period


KATGXLCDifference

Volatility (1Y)

Calculated over the trailing 1-year period

10.62%

13.79%

-3.17%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.62%

13.79%

-3.17%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.62%

13.79%

-3.17%

KAT vs. GXLC - Expense Ratio Comparison

KAT has a 0.75% expense ratio, which is higher than GXLC's 0.02% expense ratio.


Dividends

KAT vs. GXLC - Dividend Comparison

KAT has not paid dividends to shareholders, while GXLC's dividend yield for the trailing twelve months is around 0.64%.


PositionTTM2025
GXLC
Global X U.S. 500 ETF
0.64%0.30%
KAT
Scharf ETF
0.00%0.00%

Frequently Asked Questions


KAT and GXLC have a correlation of 0.65, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, GXLC is cheaper at 0.02% per year. The better choice depends on whether you care most about return, fees, risk, or income.

GXLC is cheaper with a 0.02% expense ratio, compared with 0.75% for KAT.

GXLC has the higher dividend yield at 0.64%, compared with 0.00% for KAT.

They also come from different issuers: Scharf Investments and Global X. Their fees differ too: 0.75% for KAT and 0.02% for GXLC.

Portfolio Optimizer

Find the right allocation for KAT and GXLC

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