Purecycle Short Long Term Debt Total from 2010 to 2025

PCTTU Stock  USD 12.00  0.77  6.86%   
Purecycle Technologies Short and Long Term Debt Total yearly trend continues to be comparatively stable with very little volatility. Short and Long Term Debt Total is likely to outpace its year average in 2025. From the period from 2010 to 2025, Purecycle Technologies Short and Long Term Debt Total quarterly data regression had r-value of  0.84 and coefficient of variation of  139.29. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2010-12-31
Previous Quarter
625.4 M
Current Value
656.6 M
Quarterly Volatility
237 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Purecycle Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Purecycle Technologies' main balance sheet or income statement drivers, such as Interest Expense of 37.9 M, Selling General Administrative of 39.5 M or Total Revenue of 0.0, as well as many indicators such as Price To Sales Ratio of 0.0, Dividend Yield of 0.0 or PTB Ratio of 1.73. Purecycle financial statements analysis is a perfect complement when working with Purecycle Technologies Valuation or Volatility modules.
  
Check out the analysis of Purecycle Technologies Correlation against competitors.
For more information on how to buy Purecycle Stock please use our How to Invest in Purecycle Technologies guide.

Latest Purecycle Technologies' Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Purecycle Technologies Holdings over the last few years. It is Purecycle 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 Purecycle 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  

Purecycle Short Long Term Debt Total Regression Statistics

Arithmetic Mean170,150,273
Geometric Mean50,999,568
Coefficient Of Variation139.29
Mean Deviation193,729,920
Median14,639,826
Standard Deviation236,998,248
Sample Variance56168.2T
Range642M
R-Value0.84
Mean Square Error18149.5T
R-Squared0.70
Significance0.000055
Slope41,601,383
Total Sum of Squares842522.5T

Purecycle Short Long Term Debt Total History

2025656.6 M
2024625.4 M
2023543.8 M
2022250.1 M
2021232.5 M
2020262.3 M
201919.9 M

About Purecycle Technologies Financial Statements

Purecycle 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 Purecycle Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Purecycle Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Purecycle 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 Total625.4 M656.6 M

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Additional Tools for Purecycle Stock Analysis

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