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.
Sandy
Piotroski F Score
Market Cap
Enterprise Value
Price To Sales Ratio
Ptb Ratio
Capex To Depreciation
Pb Ratio
Roic
Net Income Per Share
Sales General And Administrative To Revenue
Pocfratio
Interest Coverage
Capex To Operating Cash Flow
Pfcf Ratio
Income Quality
Roe
Ev To Operating Cash Flow
Pe Ratio
Return On Tangible Assets
Ev To Free Cash Flow
Earnings Yield
Intangibles To Total Assets
Net Debt To E B I T D A
Current Ratio
Receivables Turnover
Debt To Equity
Revenue Per Share
Debt To Assets
Enterprise Value Over E B I T D A
Dividend Yield
Days Sales Outstanding
Book Value Per Share
Free Cash Flow Yield
Operating Cash Flow Per Share
Stock Based Compensation To Revenue
Ev To Sales
Free Cash Flow Per Share
Capex To Revenue
Cash Per Share
Payout Ratio
Tangible Book Value Per Share
Graham Number
Shareholders Equity Per Share
Capex Per Share
Graham Net Net
Interest Debt Per Share
Price Earnings Ratio
Price Book Value Ratio
Price Earnings To Growth Ratio
Price To Operating Cash Flows Ratio
Price To Free Cash Flows Ratio
Pretax Profit Margin
Ebt Per Ebit
Operating Profit Margin
Effective Tax Rate
Company Equity Multiplier
Long Term Debt To Capitalization
Total Debt To Capitalization
Return On Capital Employed
Debt Equity Ratio
Ebit Per Revenue
Quick Ratio
Dividend Paid And Capex Coverage Ratio
Net Income Per E B T
Cash Ratio
Free Cash Flow Operating Cash Flow Ratio
Cash Flow Coverage Ratios
Price To Book Ratio
Fixed Asset Turnover
Capital Expenditure Coverage Ratio
Price Cash Flow Ratio
Enterprise Value Multiple
Debt Ratio
Cash Flow To Debt Ratio
Price Sales Ratio
Return On Assets
Asset Turnover
Net Profit Margin
Price Fair Value
Return On Equity
Operating Cycle
Dividend Payout Ratio
Cash Conversion Cycle
Operating Cash Flow Sales Ratio
Days Of Sales Outstanding
Change In Cash
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Dividends Paid
Capital Expenditures
Total Cash From Operating Activities
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Stock Based Compensation
Sale Purchase Of Stock
Total Cashflows From Investing Activities
Change To Account Receivables
Other Cashflows From Investing Activities
Change To Liabilities
Change To Inventory
Investments
Change Receivables
Net Borrowings
Cash And Cash Equivalents Changes
Cash Flows Other Operating
Change To Netincome
Change To Operating Activities
Issuance Of Capital Stock
Total Assets
Short Long Term Debt Total
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Net Debt
Retained Earnings
Cash
Non Current Assets Total
Non Currrent Assets Other
Other Assets
Cash And Short Term Investments
Net Receivables
Common Stock Total Equity
Common Stock Shares Outstanding
Liabilities And Stockholders Equity
Non Current Liabilities Total
Other Stockholder Equity
Total Liab
Property Plant And Equipment Gross
Total Current Assets
Accumulated Other Comprehensive Income
Short Term Debt
Common Stock
Accounts Payable
Other Current Liab
Other Liab
Long Term Debt
Short Term Investments
Inventory
Other Current Assets
Intangible Assets
Property Plant Equipment
Good Will
Net Tangible Assets
Retained Earnings Total Equity
Long Term Debt Total
Capital Surpluse
Long Term Investments
Non Current Liabilities Other
Short Long Term Debt
Earning Assets
Current Deferred Revenue
Net Invested Capital
Capital Stock
Depreciation And Amortization
Interest Expense
Selling General Administrative
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Selling And Marketing Expenses
Cost Of Revenue
Net Income Applicable To Common Shares
Net Income From Continuing Ops
Non Recurring
Tax Provision
Net Interest Income
Interest Income
Reconciled Depreciation
Probability Of Bankruptcy
At this time, Sandy Spring's Long Term Debt is relatively stable compared to the past year. As of 02/01/2025, Long Term Debt Total is likely to grow to about 1.5 B, while Net Debt is likely to drop slightly above 418.8 M. At this time, Sandy Spring's Net Debt To EBITDA is relatively stable compared to the past year. As of 02/01/2025, Current Ratio is likely to grow to 25.34, while PTB Ratio is likely to drop 0.84.
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..
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.
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.
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
33.48
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.
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.
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.
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.