Big Tree Cloud Stock Piotroski F Score

DSYWW Stock   0.04  0  14.92%   
This module uses fundamental data of Big Tree to approximate its Piotroski F score. Big Tree F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Big Tree Cloud. 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 Big Tree financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Big Tree Altman Z Score, Big Tree Correlation, Big Tree Valuation, as well as analyze Big Tree Alpha and Beta and Big Tree Hype Analysis.
  
At this time, Big Tree's Net Debt is fairly stable compared to the past year. Net Debt To EBITDA is likely to climb to 1.27 in 2024, whereas Short Term Debt is likely to drop slightly above 180.5 K in 2024.
At this time, it appears that Big Tree'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
Current Return On Assets

Positive

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Decrease

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

Big Tree Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Big Tree is to make sure Big is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Big Tree'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 Big Tree's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.570.8166
Way Down
Slightly volatile
Gross Profit Margin0.480.6692
Way Down
Very volatile
Total Current Liabilities5.6 M7.1 M
Significantly Down
Slightly volatile
Total Assets8.6 MM
Sufficiently Down
Slightly volatile
Total Current Assets2.7 MM
Significantly Up
Slightly volatile

Big Tree Cloud 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 Big Tree's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Big Tree in a much-optimized way.

About Big Tree 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.

Net Debt

2.29 Million

At this time, Big Tree's Net Debt is fairly stable compared to the past year.

About Big Tree Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Big Tree Cloud's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Big Tree using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Big Tree Cloud 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 Big Stock Analysis

When running Big Tree's price analysis, check to measure Big Tree'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 Big Tree is operating at the current time. Most of Big Tree's value examination focuses on studying past and present price action to predict the probability of Big Tree's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Tree's price. Additionally, you may evaluate how the addition of Big Tree to your portfolios can decrease your overall portfolio volatility.