As Reported Financial Statements

As Reported Financials

Document Name As Of Date Currency Code (in thousands) 2016 Y 10-K 12/31/2016 USD 2017 Y 10-K 12/31/2017 USD 2018 Y 10-K 12/31/2018 USD 2019 Y 10-Q 12/31/2019 USD 2020 Q3 YTD 10-Q 9/30/2020 USD
Document Name As Of Date Currency Code 2016 Y 10-K 12/31/2016 USD 2017 Y 10-K 12/31/2017 USD 2018 Y 10-K 12/31/2018 USD 2019 Y 10-Q 12/31/2019 USD 2020 Q3 YTD 10-Q 9/30/2020 USD

Assets

Cash and due from banks
Interest bearing deposits in banks
Cash and cash equivalents
Securities available for sale
Securities held to maturity NA NA NA NA
Loans held for sale NA NA NA
Loans, net of allowance
Premises and equipment, net
Premises held for sale NA
Other real estate owned
Federal Home Loan Bank stock
Bank owned life insurance
Deferred taxes, net
Goodwill NA NA
Other intangible assets, net NA NA
Accrued interest receivable and other assets
Total assets

Liabilities and Stockholders' Equity

Deposits

Non-interest bearing
Interest bearing
Total deposits
Federal Home Loan Bank advances
Accrued interest payable and other liabilities
Junior subordinated debentures
Subordinated capital notes
Senior debt
Total liabilities
Commitments and contingent liabilities

Stockholders' equity

Preferred stock
Series E NA NA NA
Series F NA NA NA
Total preferred stockholders' equity NA NA NA
Common stock
Additional paid-in capital
Retained deficit
Accumulated other comprehensive loss
Total common stockholders' equity NA NA
Total stockholders' equity NA
Total liabilities and stockholders' equity
Data shown on this page is extracted directly from the company’s documents. S&P makes every effort to line up fields, captions and headers that represent the same data over time, despite variations in how the company may report these items in different documents. In certain instances the variation in the company’s presentation over time may be too significant, potentially resulting in repeating and/or disordered items. Despite possible issues with the presentation, S&P, as always, stands by its commitment to the quality of the data.