Hpq Silicon Resources Stock Z Score

HPQ Stock  CAD 0.23  0.01  4.17%   
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in HPQ Silicon Resources. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
At this time, HPQ Silicon's Change In Working Capital is fairly stable compared to the past year. Long Term Debt To Capitalization is likely to climb to 0.18 in 2024, despite the fact that Net Working Capital is likely to grow to (3 M). At this time, HPQ Silicon's Depreciation And Amortization is fairly stable compared to the past year. Other Operating Expenses is likely to climb to about 9.3 M in 2024, despite the fact that Operating Income is likely to grow to (8.4 M).

HPQ Silicon Resources Company Z Score Analysis

HPQ Silicon'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..

Z Score

 = 

Sum Of

5 Factors

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First Factor

 = 

1.2 * (

Working Capital

/

Total Assets )

Second Factor

 = 

1.4 * (

Retained Earnings

/

Total Assets )

Thrid Factor

 = 

3.3 * (

EBITAD

/

Total Assets )

Fouth Factor

 = 

0.6 * (

Market Value of Equity

/

Total Liabilities )

Fifth Factor

 = 

0.99 * (

Revenue

/

Total Assets )

HPQ Z Score Driver Correlations

Understanding the fundamental principles of building solid financial models for HPQ Silicon is extremely important. It helps to project a fair market value of HPQ Stock properly, considering its historical fundamentals such as Z Score. Since HPQ Silicon'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 HPQ Silicon'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 HPQ Silicon's interrelated accounts and indicators.
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.
Competition

According to the company's disclosures, HPQ Silicon Resources has a Z Score of 0.0. This is 100.0% lower than that of the Metals & Mining sector and 100.0% lower than that of the Materials industry. The z score for all Canada stocks is 100.0% higher than that of the company.

HPQ Silicon Current Valuation Drivers

We derive many important indicators used in calculating different scores of HPQ Silicon from analyzing HPQ Silicon's financial statements. These drivers represent accounts that assess HPQ Silicon's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of HPQ Silicon's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap18.0M275.0M141.5M86.3M79.4M83.4M
Enterprise Value19.0M274.4M138.8M85.1M78.8M82.8M

HPQ Fundamentals

About HPQ Silicon Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze HPQ Silicon Resources's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of HPQ Silicon using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of HPQ Silicon Resources 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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Additional Tools for HPQ Stock Analysis

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