This module uses fundamental data of Global Data to approximate its Piotroski F score. Global Data F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Global Data Centre. 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 Global Data financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Global Data Centre. 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.
Global
Piotroski F Score
Investments
Change In Cash
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Total Cashflows From Investing Activities
Other Cashflows From Financing Activities
Other Non Cash Items
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Issuance Of Capital Stock
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Other Cashflows From Investing Activities
Depreciation
Total Assets
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Non Currrent Assets Other
Cash And Short Term Investments
Net Receivables
Common Stock Shares Outstanding
Liabilities And Stockholders Equity
Non Current Liabilities Total
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Long Term Investments
Total Current Assets
Accumulated Other Comprehensive Income
Capital Stock
Intangible Assets
Common Stock
Other Assets
Long Term Debt Total
Property Plant And Equipment Gross
Short Term Debt
Property Plant Equipment
Short Long Term Debt Total
Long Term Debt
Good Will
Short Term Investments
Net Invested Capital
Short Long Term Debt
Tax Provision
Net Interest Income
Interest Income
Depreciation And Amortization
Interest Expense
Selling General Administrative
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Net Income From Continuing Ops
Ebit
Research Development
Ebitda
Cost Of Revenue
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Net Income Applicable To Common Shares
Income Tax Expense
Reconciled Depreciation
Minority Interest
Probability Of Bankruptcy
At this time, Global Data's Long Term Debt Total is comparatively stable compared to the past year. Short Term Debt is likely to gain to about 34.6 M in 2024, whereas Long Term Debt is likely to drop slightly above 35.2 M in 2024.
At this time, it appears that Global Data'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 Global Data is to make sure Global is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Global Data'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 Global Data'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 Global Data's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Global Data 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.
Net Debt
(18.83 Million)
At this time, Global Data's Net Debt is comparatively stable compared to the past year.
About Global Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Global Data Centre's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Global Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Global Data Centre 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.
When running Global Data's price analysis, check to measure Global Data'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 Global Data is operating at the current time. Most of Global Data's value examination focuses on studying past and present price action to predict the probability of Global Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Global Data's price. Additionally, you may evaluate how the addition of Global Data to your portfolios can decrease your overall portfolio volatility.