Compare Tangible Asset Value Across Equities

You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
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Cross Equities Tangible Asset Value Analysis

Compare Capitol Federal Financial, Colony Bankcorp, and First Mid Illinois Tangible Asset Value Over Time
Select Fundamental
Price To Sales RatioPtb Ratio
Days Sales OutstandingBook Value Per Share
Invested CapitalAverage Payables
Capex To DepreciationPb Ratio
Ev To SalesRoic
Inventory TurnoverNet Income Per Share
Days Of Inventory On HandPayables Turnover
Sales General And Administrative To RevenueAverage Inventory
Research And Ddevelopement To RevenueCash Per Share
PocfratioInterest Coverage
Capex To Operating Cash FlowPfcf Ratio
Days Payables OutstandingNet Current Asset Value
Income QualityRoe
Tangible Asset ValueEv To Operating Cash Flow
Pe RatioReturn On Tangible Assets
Ev To Free Cash FlowEarnings Yield
Intangibles To Total AssetsNet Debt To E B I T D A
Current RatioTangible Book Value Per Share
Receivables TurnoverGraham Number
Shareholders Equity Per ShareDebt To Equity
Graham Net NetAverage Receivables
Revenue Per ShareInterest Debt Per Share
Debt To AssetsEnterprise Value Over E B I T D A
Dividend YieldFree Cash Flow Yield
Operating Cash Flow Per ShareStock Based Compensation To Revenue
Free Cash Flow Per ShareCapex To Revenue
Payout RatioCapex Per Share
Price Earnings RatioPrice Book Value Ratio
Price Earnings To Growth RatioDays Of Payables Outstanding
Price To Operating Cash Flows RatioPrice To Free Cash Flows Ratio
Pretax Profit MarginEbt Per Ebit
Operating Profit MarginEffective Tax Rate
Company Equity MultiplierLong Term Debt To Capitalization
Total Debt To CapitalizationReturn On Capital Employed
Debt Equity RatioEbit Per Revenue
Quick RatioDividend Paid And Capex Coverage Ratio
Net Income Per E B TCash Ratio
Days Of Inventory OutstandingDays Of Sales Outstanding
Free Cash Flow Operating Cash Flow RatioPrice To Book Ratio
Fixed Asset TurnoverCapital Expenditure Coverage Ratio
Price Cash Flow RatioEnterprise Value Multiple
Debt RatioPrice Sales Ratio
Return On AssetsAsset Turnover
Net Profit MarginGross Profit Margin
Price Fair ValueReturn On Equity
Short Term Coverage RatiosDividend Payout Ratio
Operating Cash Flow Sales RatioCash Flow Coverage Ratios
Cash Flow To Debt Ratio
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CFFN0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
CBAN0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
FMBH0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
MRBK0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
MBWM0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
PGC0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
NFBK0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0

Capitol Federal Financial, Colony Bankcorp, and First Mid Illinois Tangible Asset Value description

The total value of a company's physical, tangible assets, excluding intangible assets like patents and trademarks.

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The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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