This module uses fundamental data of ACM Research to approximate its Piotroski F score. ACM Research F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of ACM Research Shanghai. 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 ACM Research financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in ACM Research Shanghai. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
At present, ACM Research's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting. The current year's Short Term Debt is expected to grow to about 502.6 M, whereas Net Debt is forecasted to decline to (952.8 M).
At this time, it appears that ACM Research'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 ACM Research is to make sure ACM is not a subject of accounting manipulations and runs a healthy internal audit department. So, if ACM Research'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 ACM Research'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 ACM Research's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards ACM Research 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
669.11 Million
At present, ACM Research's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting.
About ACM Research Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze ACM Research Shanghai's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ACM Research using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ACM Research Shanghai 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.
ACM Research financial ratios help investors to determine whether ACM 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 ACM with respect to the benefits of owning ACM Research security.