This module uses fundamental data of Power Finance to approximate its Piotroski F score. Power Finance F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Power Finance. 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 Power Finance financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Power Finance. 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.
Power
Piotroski F Score
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
Sale Purchase Of Stock
Investments
Net Borrowings
Total Cashflows From Investing Activities
Change To Operating Activities
Other Cashflows From Investing Activities
Change To Netincome
Total Assets
Total Stockholder Equity
Property Plant And Equipment Net
Retained Earnings
Non Current Assets Total
Non Currrent Assets Other
Other Assets
Liabilities And Stockholders Equity
Other Current Assets
Other Stockholder Equity
Total Liab
Total Current Assets
Accumulated Other Comprehensive Income
Intangible Assets
Common Stock
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Net Debt
Cash
Cash And Short Term Investments
Non Current Liabilities Total
Accounts Payable
Short Term Debt
Current Deferred Revenue
Net Receivables
Short Term Investments
Other Liab
Net Tangible Assets
Long Term Debt
Long Term Investments
Short Long Term Debt
Property Plant Equipment
Long Term Debt Total
Capital Surpluse
Inventory
Good Will
Cash And Equivalents
Deferred Long Term Liab
Net Invested Capital
Property Plant And Equipment Gross
Depreciation And Amortization
Interest Expense
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
Selling General Administrative
Selling And Marketing Expenses
Net Income From Continuing Ops
Cost Of Revenue
Net Income Applicable To Common Shares
Tax Provision
Interest Income
Minority Interest
Net Interest Income
Research Development
Reconciled Depreciation
Probability Of Bankruptcy
At present, Power Finance's Short Term Debt is projected to increase significantly based on the last few years of reporting. The current year's Short and Long Term Debt is expected to grow to about 409.7 B, whereas Long Term Debt is forecasted to decline to about 4.6 T.
At this time, it appears that Power Finance'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 Power Finance is to make sure Power is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Power Finance'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 Power Finance'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 Power Finance's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Power Finance 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
9.05 Trillion
At present, Power Finance's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting.
Power Finance 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, Power Finance's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Power Finance's managers, analysts, and investors.
Environment Score
Governance Score
Social Score
About Power Finance Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Power Finance's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Power Finance using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Power Finance 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.
Power Finance financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Finance security.