Call report 2019Q3
FIRSTBANK — 2019Q3
The 22 measures FIRSTBANK reported to the FFIEC for 2019Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 19,526,919,000 | USD | evidence → |
| Total loans | 11,260,139,000 | USD | evidence → |
| Allowance for loan losses | 105,480,000 | USD | evidence → |
| Securities available for sale | 4,759,501,000 | USD | evidence → |
| Securities held to maturity | 1,617,519,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 17,635,503,000 | USD | evidence → |
| Interest-bearing deposits | 16,066,577,000 | USD | evidence → |
| Noninterest-bearing deposits | 1,568,926,000 | USD | evidence → |
| Equity capital | 1,704,920,000 | USD | evidence → |
Income
Cumulative from the start of the year, as filed — Q1 covers January to March, Q2 January to June, Q4 the full year
| Measure | Value | Unit | Source |
|---|---|---|---|
| Interest income | 564,113,000 | USD | evidence → |
| Interest expense | 69,606,000 | USD | evidence → |
| Net interest income | 494,507,000 | USD | evidence → |
| Noninterest income | 98,557,000 | USD | evidence → |
| Noninterest expense | 298,682,000 | USD | evidence → |
| Provision for loan losses | 7,463,000 | USD | evidence → |
| Pretax income | 287,051,000 | USD | evidence → |
| Income tax | 61,194,000 | USD | evidence → |
| Net income | 225,857,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 1,650,303,000 | USD | evidence → |
| Total capital | 1,760,287,000 | USD | evidence → |
| Risk-weighted assets | 10,404,554,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about FIRSTBANK — 2019Q3 can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.