Sancus Lending Group Stock Piotroski F Score

LEND Stock   0.30  0.15  33.33%   
This module uses fundamental data of Sancus Lending to approximate its Piotroski F score. Sancus Lending F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Sancus Lending Group. 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 Sancus Lending financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Sancus Lending Group. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
Net Debt is likely to gain to about 106.4 M in 2024, whereas Short and Long Term Debt Total is likely to drop slightly above 60.9 M in 2024.
At this time, it appears that Sancus Lending'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..
1.0
Piotroski F Score - Inapplicable
Current Return On Assets

N/A

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Increase

Focus
Change in Gross Margin

N/A

Focus

Sancus Lending Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Sancus Lending is to make sure Sancus is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Sancus Lending'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 Sancus Lending's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Total Current LiabilitiesM2.2 M
Notably Down
Slightly volatile
Non Current Liabilities Total62.4 M106.2 M
Way Down
Very volatile
Total Assets108.3 M106.4 M
Fairly Up
Slightly volatile
Total Current Assets85.7 M81.7 M
Sufficiently Up
Slightly volatile

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

About Sancus Lending 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

106.45 Million

At this time, Sancus Lending's Net Debt is comparatively stable compared to the past year.

About Sancus Lending Fundamental Analysis

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

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