Kymera Short Term Debt from 2010 to 2024

KYMR Stock  USD 47.02  2.04  4.54%   
Kymera Therapeutics Short Term Debt yearly trend continues to be relatively stable with very little volatility. Short Term Debt is likely to drop to about 7 M. During the period from 2010 to 2024, Kymera Therapeutics Short Term Debt destribution of quarterly values had range of 12.4 M from its regression line and mean deviation of  3,425,847. View All Fundamentals
 
Short Term Debt  
First Reported
2010-12-31
Previous Quarter
12.7 M
Current Value
M
Quarterly Volatility
M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Kymera Therapeutics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Kymera Therapeutics' main balance sheet or income statement drivers, such as Net Interest Income of 19.5 M, Interest Income of 19.7 M or Depreciation And Amortization of 2.3 M, as well as many indicators such as Price To Sales Ratio of 17.96, Dividend Yield of 0.0 or PTB Ratio of 3.95. Kymera financial statements analysis is a perfect complement when working with Kymera Therapeutics Valuation or Volatility modules.
  
Check out the analysis of Kymera Therapeutics Correlation against competitors.
To learn how to invest in Kymera Stock, please use our How to Invest in Kymera Therapeutics guide.

Latest Kymera Therapeutics' Short Term Debt Growth Pattern

Below is the plot of the Short Term Debt of Kymera Therapeutics over the last few years. It is Kymera Therapeutics' Short Term Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Kymera Therapeutics' overall financial position and show how it may be relating to other accounts over time.
Short Term Debt10 Years Trend
Slightly volatile
   Short Term Debt   
       Timeline  

Kymera Short Term Debt Regression Statistics

Arithmetic Mean3,156,872
Geometric Mean1,057,344
Coefficient Of Variation128.05
Mean Deviation3,425,847
Median302,000
Standard Deviation4,042,460
Sample Variance16.3T
Range12.4M
R-Value0.83
Mean Square Error5.3T
R-Squared0.70
Significance0.0001
Slope754,509
Total Sum of Squares228.8T

Kymera Short Term Debt History

2024M
202312.7 M
20227.9 M
20217.2 M
20206.5 M
20193.4 M

About Kymera Therapeutics Financial Statements

Kymera Therapeutics shareholders use historical fundamental indicators, such as Short Term Debt, to determine how well the company is positioned to perform in the future. Although Kymera Therapeutics investors may analyze each financial statement separately, they are all interrelated. The changes in Kymera Therapeutics' assets and liabilities, for example, are also reflected in the revenues and expenses on on Kymera Therapeutics' 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 Term Debt12.7 MM

Pair Trading with Kymera Therapeutics

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Kymera Therapeutics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Kymera Therapeutics will appreciate offsetting losses from the drop in the long position's value.

Moving against Kymera Stock

  0.32KZR Kezar Life SciencesPairCorr
The ability to find closely correlated positions to Kymera Therapeutics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kymera Therapeutics when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Kymera Therapeutics - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Kymera Therapeutics to buy it.
The correlation of Kymera Therapeutics is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Kymera Therapeutics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kymera Therapeutics moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Kymera Therapeutics can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Kymera Stock Analysis

When running Kymera Therapeutics' price analysis, check to measure Kymera Therapeutics' 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 Kymera Therapeutics is operating at the current time. Most of Kymera Therapeutics' value examination focuses on studying past and present price action to predict the probability of Kymera Therapeutics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kymera Therapeutics' price. Additionally, you may evaluate how the addition of Kymera Therapeutics to your portfolios can decrease your overall portfolio volatility.