| GSAT Stock | | | USD 1.93 0.02 1.03% |
This module uses fundamental data of Globalstar to approximate its Piotroski F score. Globalstar F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Globalstar. 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 Globalstar financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Globalstar Altman Z Score,
Globalstar Correlation,
Globalstar Valuation, as well as analyze
Globalstar Alpha and Beta and
Globalstar Hype Analysis.
For more information on how to buy Globalstar Stock please use our
How to Invest in Globalstar guide.
At this time, Globalstar's
Short and Long Term Debt Total is comparatively stable compared to the past year.
Net Debt is likely to gain to about 527.2
M in 2024, whereas
Interest Debt Per Share is likely to drop 0.19 in 2024. At this time, Globalstar's
POCF Ratio is comparatively stable compared to the past year.
Capex To Operating Cash Flow is likely to gain to 2.48 in 2024, whereas
Free Cash Flow Yield is likely to drop
(0.03) in 2024.
At this time, it appears that Globalstar's Piotroski F Score is Poor. 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..
4.0
Piotroski F Score - Poor
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Higher Leverage| Focus | |
| Change In Outstending Shares | |
Globalstar Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Globalstar is to make sure Globalstar is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Globalstar'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 Globalstar's financial numbers are properly reported.
Globalstar F Score Driver Matrix
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 Globalstar's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Globalstar in a much-optimized way.
Click cells to compare fundamentals
About Globalstar Piotroski F Score
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.
About Globalstar Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Globalstar's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Globalstar using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Globalstar 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.
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 Globalstar Stock Analysis
When running Globalstar's price analysis, check to
measure Globalstar'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 Globalstar is operating at the current time. Most of Globalstar's value examination focuses on studying past and present price action to
predict the probability of Globalstar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Globalstar's price. Additionally, you may evaluate how the addition of Globalstar to your portfolios can decrease your overall portfolio volatility.