ANY Stock | | | USD 1.09 0.07 6.86% |
This module uses fundamental data of Sphere 3D to approximate its Piotroski F score. Sphere 3D F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Sphere 3D Corp. 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 Sphere 3D financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Sphere 3D Altman Z Score,
Sphere 3D Correlation,
Sphere 3D Valuation, as well as analyze
Sphere 3D Alpha and Beta and
Sphere 3D Hype Analysis.
At this time, Sphere 3D's
Debt To Equity is fairly stable compared to the past year.
Interest Debt Per Share is likely to rise to 0.11 in 2025, despite the fact that
Net Debt is likely to grow to (501
K). At this time, Sphere 3D's
Tangible Book Value Per Share is fairly stable compared to the past year.
Debt To Equity is likely to rise to 1.07 in 2025, whereas
Price To Sales Ratio is likely to drop 2.01 in 2025.
At this time, it appears that Sphere 3D's Piotroski F Score is Frail. 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..
3.0
Piotroski F Score - Frail
| Current Return On Assets | Negative | Focus |
| Change in Return on Assets | Decreased | Focus |
| Cash Flow Return on Assets | Negative | Focus |
| Current Quality of Earnings (accrual) | Improving | Focus |
| Asset Turnover Growth | Decrease | Focus |
| Current Ratio Change | Decrease | Focus |
| Long Term Debt Over Assets Change | Lower Leverage | Focus |
| Change In Outstending Shares | Increase | Focus |
| Change in Gross Margin | Increase | Focus |
Sphere 3D Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Sphere 3D is to make sure Sphere is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Sphere 3D'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 Sphere 3D's financial numbers are properly reported.
Sphere 3D Corp 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 Sphere 3D's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Sphere 3D in a much-optimized way.
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About Sphere 3D 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.
Sphere 3D Current Valuation Drivers
We derive many important indicators used in calculating different scores of Sphere 3D from analyzing Sphere 3D's financial statements. These drivers represent accounts that assess Sphere 3D's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Sphere 3D's important valuation drivers and their relationship over time.
About Sphere 3D Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sphere 3D Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sphere 3D using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Sphere 3D Corp 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 Sphere Stock Analysis
When running Sphere 3D's price analysis, check to
measure Sphere 3D'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 Sphere 3D is operating at the current time. Most of Sphere 3D's value examination focuses on studying past and present price action to
predict the probability of Sphere 3D's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sphere 3D's price. Additionally, you may evaluate how the addition of Sphere 3D to your portfolios can decrease your overall portfolio volatility.