Sensient Technologies Skewness

SXT Stock  USD 112.93  -0.71  -0.62%   
Skewness describes asymmetry of returns from the normal distribution. It can come in the form of negative skewness or positive skewness, depending on whether data points are skewed to the left (negative skew) or to the right (positive skew) of the data average. Below is Sensient Technologies's current Skewness with peer comparisons and related risk metrics.

Current Skewness Value

Sensient Technologies registers a Skewness of 4.05, reflecting strong positive skew — the return distribution has a substantially heavier right tail. Sensient Technologies's returns show large upside outliers that exceed any downside moves in magnitude.

Skewness

 = 

3PM

STD3

 = 
4.05
3PM = Third upper moment
STD =   Standard Deviation of Sensient Technologies

Skewness Peers Comparison

Relative to peers, Sensient Technologies's Skewness is above the group average of 0.39. Peer readings range from -1.4292 (Balchem) to 1.82 (Cabot), reflecting wide dispersion across the sector. Sensient Technologies's positive skew relative to peers indicates a higher frequency of large upside moves.

Skewness Relative To Other Indicators

The chart below plots Skewness against Maximum Drawdown for Sensient Technologies and its peers. Each point represents one equity — position along the horizontal axis shows Skewness 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.
Comparing Skewness ( 4.05 ) to Maximum Drawdown ( 29.83 ) for Sensient Technologies yields a 7.36 multiple. This indicates Maximum Drawdown substantially exceeds Skewness for Sensient Technologies.
Compare Sensient Technologies to Peers

Methodology, Assumptions & Data Sources

Sensient Technologies has a current Skewness reading of 4.05. Sensient Technologies' Skewness is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Sensient Technologies operates in the basic materials sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. The calculation assumes continuous price data across the selected period. All readings are presented as reference data.

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