PureCycle Technologies Company Z Score Analysis
PureCycle Technologies' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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PureCycle Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for PureCycle Technologies is extremely important. It helps to project a fair market value of PureCycle Stock properly, considering its historical
fundamentals such as Z Score. Since PureCycle Technologies' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of PureCycle Technologies' historical
financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of PureCycle Technologies' interrelated accounts and indicators.
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Based on the company's disclosures, PureCycle Technologies has a Z Score of 0.0. This indicator is about the same for the Chemicals average (which is currently at 0.0) sector and about the same as
Materials (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
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PureCycle Technologies ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, PureCycle Technologies' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to PureCycle Technologies' managers, analysts, and investors. PureCycle Fundamentals
About PureCycle Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze PureCycle Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of PureCycle Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of PureCycle Technologies based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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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.