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Baron First Principles ETF (RONB) Sharpe Ratio

ETF · Currency in USD · Last updated Jun 24, 2026

Baron First Principles ETF is an actively managed, non-diversified fund seeking capital appreciation by investing in growth companies of any market capitalization. The portfolio favors businesses with significant long-term growth opportunities, sustainable competitive advantages, and exceptional management, purchased at valuations the manager considers attractive relative to long-term intrinsic value. Holdings are primarily U.S. equities and the fund may deploy leverage of up to one-third of total net assets when conditions warrant.

Sharpe ratio is not yet available for RONB. This metric requires at least 12 months of historical daily returns to calculate. Check back once this data is available.

How it compares to other similar ETFs

The table compares Baron First Principles ETF's Sharpe Ratio with other ETFs in the Large Cap Growth Equities category across multiple time periods, showing how RONB's risk-adjusted performance compares to similar funds.

Data shows 1-, 5-, and 10-year periods, plus each fund's all-time average, as of Jun 24, 2026.

SymbolName1Y Sharpe Ratio5Y Sharpe Ratio10Y Sharpe RatioAll Time Sharpe Ratio
DARPGrizzle Growth ETF2.77
NACPImpact Shares NAACP Minority Empowerment ETF2.60
VEGNUS Vegan Climate ETF2.57
FMTMMarketDesk Focused U.S. Momentum ETF2.53
MFUSPIMCO RAFI Dynamic Multi-Factor U.S. Equity ETF2.49
BIBLInspire 100 ETF2.45
HLALWahed FTSE USA Shariah ETF2.40
ROUSHartford Multifactor US Equity ETF2.37
DGROiShares Core Dividend Growth ETF2.35
RFDARiverFront Dynamic US Dividend Advantage ETF2.28
RONBBaron First Principles ETF—

S&P 500 Index

How to choose period

Historical Sharpe Ratio

The chart shows RONB's rolling Sharpe ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to total volatility, while declining trends may signal deteriorating risk-adjusted performance or increased volatility. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.

Identify market cycles by observing when RONB consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.

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