Pixie Dust Technologies, Company Z Score Analysis
Pixie Dust's 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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Pixie Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Pixie Dust is extremely important. It helps to project a fair market value of Pixie Stock properly, considering its historical
fundamentals such as Z Score. Since Pixie Dust's 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 Pixie Dust's 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 Pixie Dust's 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, Pixie Dust Technologies, has a Z Score of 0.0. This is 100.0% lower than that of the Household Durables sector and 100.0% lower than that of the
Consumer Discretionary industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Pixie Fundamentals
About Pixie Dust Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Pixie Dust Technologies,'s financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Pixie Dust using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Pixie Dust 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Additional Tools for Pixie Stock Analysis
When running Pixie Dust's price analysis, check to
measure Pixie Dust's 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 Pixie Dust is operating at the current time. Most of Pixie Dust's value examination focuses on studying past and present price action to
predict the probability of Pixie Dust's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pixie Dust's price. Additionally, you may evaluate how the addition of Pixie Dust to your portfolios can decrease your overall portfolio volatility.