Veralto Treynor Ratio
| VLTO Stock | | | 88.62 -0.17 -0.19% |
The Treynor Ratio measures excess return per unit of systematic risk (beta) rather than total risk. It is calculated as (Portfolio Return - Risk-Free Rate) / Beta, isolating how well the asset compensates investors for market exposure that cannot be diversified away. Below is Veralto's current Treynor Ratio with peer comparisons and related risk metrics.
Current Treynor Ratio Value
The current Treynor Ratio of
-0.33 places Veralto at negative return per unit of systematic risk. Veralto has not been compensated for the market risk it carries — systematic exposure has produced negative returns over the measured period.
Treynor Ratio | = | ER[a] - RFRBETA |
| = | -0.33 | |
| ER[a] | = | Expected return on investing in Veralto |
| BETA | = | Beta coefficient between Veralto and the market |
| RFR | = | Risk Free Rate of return. Typically T-Bill Rate |
Treynor Ratio Peers Comparison
Relative to peers, Veralto's Treynor Ratio is below the group average of 0.57. Peer readings range from -0.3445 (Elbit Systems) to 3.16 (Verisk Analytics), reflecting wide dispersion across the sector. Veralto has earned less return per unit of systematic risk than the peer average.
Treynor Ratio Relative To Other Indicators
The chart below plots Treynor Ratio against Maximum Drawdown for Veralto and its peers. Each point represents one equity — position along the horizontal axis shows Treynor Ratio while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Compare Veralto to PeersMethodology, Assumptions & Data Sources
The current Treynor Ratio for Veralto is -0.33. The Treynor Ratio for Veralto applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. Veralto operates in the industrials sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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