Sandy Spring Bancorp Stock Piotroski F Score

SASR Stock  USD 38.71  0.86  2.27%   
This module uses fundamental data of Sandy Spring to approximate its Piotroski F score. Sandy Spring F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Sandy Spring Bancorp. 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 Sandy Spring financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Sandy Spring Altman Z Score, Sandy Spring Correlation, Sandy Spring Valuation, as well as analyze Sandy Spring Alpha and Beta and Sandy Spring Hype Analysis.
  
At this time, Sandy Spring's Net Debt is relatively stable compared to the past year. As of 11/26/2024, Long Term Debt is likely to grow to about 966.8 M, while Short Term Debt is likely to drop slightly above 71.3 M. At this time, Sandy Spring's Sales General And Administrative To Revenue is relatively stable compared to the past year. As of 11/26/2024, Capex To Revenue is likely to grow to 0.07, while Free Cash Flow Yield is likely to drop 0.06.
At this time, it appears that Sandy Spring's Piotroski F Score is Healthy. 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..
5.0
Piotroski F Score - Healthy
Current Return On Assets

Positive

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Higher Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

Sandy Spring Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Sandy Spring is to make sure Sandy is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Sandy Spring'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 Sandy Spring's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Return On Assets0.01120.0088
Significantly Up
Slightly volatile
Asset Turnover0.04540.0299
Way Up
Pretty Stable
Total Current Liabilities3.1 BB
Sufficiently Up
Pretty Stable
Non Current Liabilities Total13.1 B12.4 B
Sufficiently Up
Slightly volatile
Total Assets14.7 B14 B
Sufficiently Up
Slightly volatile
Total Current Assets562.9 M592.5 M
Notably Down
Pretty Stable
Total Cash From Operating Activities144.7 M137.8 M
Sufficiently Up
Slightly volatile

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

About Sandy Spring 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.

Book Value Per Share

37.2

At this time, Sandy Spring's Book Value Per Share is relatively stable compared to the past year.

Sandy Spring ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Sandy Spring's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Sandy Spring's managers, analysts, and investors.
Environmental
Governance
Social

About Sandy Spring Fundamental Analysis

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

Pair Trading with Sandy Spring

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Sandy Spring position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sandy Spring will appreciate offsetting losses from the drop in the long position's value.

Moving together with Sandy Stock

  0.92AX Axos FinancialPairCorr
  0.93BY Byline Bancorp Fiscal Year End 23rd of January 2025 PairCorr
  0.97PB Prosperity Bancshares Fiscal Year End 22nd of January 2025 PairCorr

Moving against Sandy Stock

  0.55WF Woori Financial GroupPairCorr
  0.46TFC-PO Truist FinancialPairCorr
  0.43CFG-PE Citizens FinancialPairCorr
  0.42TFC-PR Truist FinancialPairCorr
The ability to find closely correlated positions to Sandy Spring could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sandy Spring when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Sandy Spring - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Sandy Spring Bancorp to buy it.
The correlation of Sandy Spring is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Sandy Spring moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sandy Spring Bancorp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Sandy Spring can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Sandy Stock Analysis

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