Sensient Short Long Term Debt Total from 2010 to 2024

SXT Stock  USD 77.00  1.00  1.28%   
Sensient Technologies Short and Long Term Debt Total yearly trend continues to be comparatively stable with very little volatility. Short and Long Term Debt Total will likely drop to about 435.4 M in 2024. From the period from 2010 to 2024, Sensient Technologies Short and Long Term Debt Total quarterly data regression had r-value of  0.65 and coefficient of variation of  34.20. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
1985-09-30
Previous Quarter
661.7 M
Current Value
643.4 M
Quarterly Volatility
177.7 M
 
Black Monday
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Sensient Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sensient Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 44.8 M, Interest Expense of 24.5 M or Total Revenue of 1.2 B, as well as many indicators such as Price To Sales Ratio of 1.06, Dividend Yield of 0.0263 or PTB Ratio of 1.97. Sensient financial statements analysis is a perfect complement when working with Sensient Technologies Valuation or Volatility modules.
  
Check out the analysis of Sensient Technologies Correlation against competitors.
For more information on how to buy Sensient Stock please use our How to Invest in Sensient Technologies guide.

Latest Sensient Technologies' Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Sensient Technologies over the last few years. It is Sensient Technologies' Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Sensient Technologies' overall financial position and show how it may be relating to other accounts over time.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Sensient Short Long Term Debt Total Regression Statistics

Arithmetic Mean502,359,561
Geometric Mean454,844,571
Coefficient Of Variation34.20
Mean Deviation135,693,060
Median527,251,000
Standard Deviation171,790,933
Sample Variance29512.1T
Range632.9M
R-Value0.65
Mean Square Error18538T
R-Squared0.42
Significance0.01
Slope24,797,457
Total Sum of Squares413169.7T

Sensient Short Long Term Debt Total History

2024435.4 M
2023658.5 M
2022650.7 M
2021511.5 M
2020527.3 M
2019619.1 M
2018709.6 M

About Sensient Technologies Financial Statements

Sensient Technologies shareholders use historical fundamental indicators, such as Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Although Sensient Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Sensient Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Sensient Technologies' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Short and Long Term Debt Total658.5 M435.4 M

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Additional Tools for Sensient Stock Analysis

When running Sensient Technologies' price analysis, check to measure Sensient Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sensient Technologies is operating at the current time. Most of Sensient Technologies' value examination focuses on studying past and present price action to predict the probability of Sensient Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sensient Technologies' price. Additionally, you may evaluate how the addition of Sensient Technologies to your portfolios can decrease your overall portfolio volatility.