Howard Price to Book Value Trend from 2010 to 2022

HBMD -  USA Stock  

USD 23.30  0.00  0.00%

Howard Bancorp Price to Book Value is increasing over the years with slightly volatile fluctuation. Ongoing Price to Book Value is projected to grow to 0.97 this year. During the period from 2010 to 2022 Howard Bancorp Price to Book Value anual values regression line had geometric mean of 0.79 and mean square error of  0.09. Howard Bancorp Preferred Dividends Income Statement Impact is projected to decrease significantly based on the last few years of reporting. The past year's Preferred Dividends Income Statement Impact was at 149,400. The current year Weighted Average Shares is expected to grow to about 23.3 M, whereas Earning Before Interest and Taxes EBIT is forecasted to decline to (12.3 M).
  
Refresh
Check Howard Bancorp financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Howard main balance sheet or income statement drivers, such as Gross Profit of 73.1 M, Operating Expenses of 111 M or Preferred Dividends Income Statement Impact of 194.4 K, as well as many exotic indicators such as Calculated Tax Rate of 36.11, PPandE Turnover of 2.24 or Cash and Equivalents Turnover of 1.05. Howard financial statements analysis is a perfect complement when working with Howard Bancorp Valuation or Volatility modules. It can also supplement various Howard Bancorp Technical models. Please check Risk vs Return Analysis.

Howard Bancorp Quarterly Price to Book Value

1.238

Share

Howard Price to Book Value Breakdown

Showing smoothed Price to Book Value of Howard Bancorp with missing and latest data points interpolated. Measures the ratio between Market Capitalization and [EquityUSD].Howard Bancorp's Price to Book Value historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Howard Bancorp's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 1.42 X10 Years Trend
Increasing
Slightly volatile
 Price to Book Value 
Share
      Timeline 

Howard Price to Book Value Regression Statistics

Arithmetic Mean 0.86
Geometric Mean 0.79
Coefficient Of Variation 40.71
Mean Deviation 0.25
Median 0.86
Standard Deviation 0.35
Sample Variance 0.12
Range 1.30
R-Value 0.54
Mean Square Error 0.09
R-Squared 0.30
Significance 0.05
Slope 0.04899
Total Sum of Squares 1.47

Howard Price to Book Value History

2012  0.55 
2013  0.78 
2014  0.79 
2015  0.99 
2016  1.23 
2017  1.63 
2018  0.92 
2019  1.02 
2020  0.75 
2021  0.86 
2022  0.97 

About Howard Bancorp Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Howard Bancorp income statement, its balance sheet, and the statement of cash flows. Howard Bancorp investors use historical funamental indicators, such as Howard Bancorp's Price to Book Value, to determine how well the company is positioned to perform in the future. Although Howard Bancorp investors may use each financial statement separately, they are all related. The changes in Howard Bancorp's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Howard Bancorp's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Howard Bancorp Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Howard Bancorp. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Price to Book Value 0.86  0.97 
Enterprise Value483.7 M396.3 M
Tangible Asset Value2.9 B3.1 B
Howard Bancorp, Inc. operates as the bank holding company for Howard Bank that provides commercial banking, mortgage banking, and consumer finance products and services to businesses, business owners, professionals, and other consumers. Howard Bancorp, Inc. was founded in 2004 and is headquartered in Baltimore, Maryland. Howard Bancorp operates under BanksRegional classification in the United States and is traded on NASDAQ Exchange. It employs 235 people.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Howard Bancorp without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Price Transformation Now

   

Price Transformation

Use Price Transformation models to analyze depth of different equity instruments across global markets
All  Next Launch Module

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Howard Bancorp using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

Build Optimal Portfolios

Align your risk with return expectations

Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
Please check Risk vs Return Analysis. Note that the Howard Bancorp information on this page should be used as a complementary analysis to other Howard Bancorp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Other Tools for Howard Stock

When running Howard Bancorp price analysis, check to measure Howard Bancorp'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 Howard Bancorp is operating at the current time. Most of Howard Bancorp's value examination focuses on studying past and present price action to predict the probability of Howard Bancorp's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Howard Bancorp's price. Additionally, you may evaluate how the addition of Howard Bancorp to your portfolios can decrease your overall portfolio volatility.
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Go
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Go
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Go
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Go
Stock Screener
Find equities using custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Go
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Go
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Go