This module uses fundamental data of Shengda Mining to approximate its Piotroski F score. Shengda Mining F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Shengda Mining Co. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Shengda Mining financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Shengda Mining Co. 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.
Shengda
Piotroski F Score
Change To Inventory
Change In Cash
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Dividends Paid
Capital Expenditures
Total Cash From Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Change To Account Receivables
Total Cashflows From Investing Activities
Other Cashflows From Investing Activities
Investments
Net Borrowings
Change To Netincome
Change To Liabilities
Common Stock Shares Outstanding
Total Assets
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Current Deferred Revenue
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Non Currrent Assets Other
Cash And Short Term Investments
Net Receivables
Liabilities And Stockholders Equity
Non Current Liabilities Total
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Total Current Assets
Short Term Debt
Common Stock
Short Term Investments
Other Liab
Other Assets
Property Plant Equipment
Intangible Assets
Net Tangible Assets
Deferred Long Term Liab
Long Term Investments
Long Term Debt
Net Invested Capital
Short Long Term Debt
Net Working Capital
Property Plant And Equipment Gross
Accumulated Other Comprehensive Income
Capital Lease Obligations
Depreciation And Amortization
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Interest Expense
Selling General Administrative
Selling And Marketing Expenses
Cost Of Revenue
Net Income Applicable To Common Shares
Minority Interest
Net Income From Continuing Ops
Tax Provision
Net Interest Income
Interest Income
Reconciled Depreciation
Research Development
Probability Of Bankruptcy
At present, Shengda Mining's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting. The current year's Net Debt is expected to grow to about 745.5 M, whereas Long Term Debt is forecasted to decline to about 136.3 M.
At this time, it appears that Shengda Mining's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
The critical factor to consider when applying the Piotroski F Score to Shengda Mining is to make sure Shengda is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Shengda Mining's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Shengda Mining's financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Shengda Mining's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Shengda Mining in a much-optimized way.
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Short Long Term Debt Total
1.21 Billion
At present, Shengda Mining's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting.
About Shengda Mining Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Shengda Mining Co's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Shengda Mining using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Shengda Mining Co 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Shengda Mining financial ratios help investors to determine whether Shengda Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Shengda with respect to the benefits of owning Shengda Mining security.