| SES Stock | | | USD 0.41 0.05 10.87% |
This module uses fundamental data of SES AI to approximate its Piotroski F score. SES AI F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of SES AI 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 SES AI financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
SES AI Altman Z Score,
SES AI Correlation,
SES AI Valuation, as well as analyze
SES AI Alpha and Beta and
SES AI Hype Analysis.
At this time, SES AI's
Short and Long Term Debt Total is comparatively stable compared to the past year.
Net Debt To EBITDA is likely to gain to 1.03 in 2024, whereas
Short Term Debt is likely to drop slightly above 2.9
M in 2024. At this time, SES AI's
Current Ratio is comparatively stable compared to the past year.
At this time, it appears that SES AI'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 | Lower Leverage| Focus | |
| Change In Outstending Shares | |
SES AI Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to SES AI is to make sure SES is not a subject of accounting manipulations and runs a healthy internal audit department. So, if SES AI'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 SES AI's financial numbers are properly reported.
SES AI 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 SES AI's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards SES AI in a much-optimized way.
Click cells to compare fundamentals
About SES AI 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 SES AI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze SES AI Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SES AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of SES AI 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.
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 SES Stock Analysis
When running SES AI's price analysis, check to
measure SES AI'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 SES AI is operating at the current time. Most of SES AI's value examination focuses on studying past and present price action to
predict the probability of SES AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SES AI's price. Additionally, you may evaluate how the addition of SES AI to your portfolios can decrease your overall portfolio volatility.