Call report 2023Q3
BANGOR SAVINGS BANK — 2023Q3
The 22 measures BANGOR SAVINGS BANK reported to the FFIEC for 2023Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 7,253,561,000 | USD | evidence → |
| Total loans | 4,807,987,000 | USD | evidence → |
| Allowance for loan losses | 33,078,000 | USD | evidence → |
| Securities available for sale | 1,690,780,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 5,526,161,000 | USD | evidence → |
| Interest-bearing deposits | 3,997,578,000 | USD | evidence → |
| Noninterest-bearing deposits | 1,528,583,000 | USD | evidence → |
| Equity capital | 339,914,000 | 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 | 183,641,000 | USD | evidence → |
| Interest expense | 78,070,000 | USD | evidence → |
| Net interest income | 105,571,000 | USD | evidence → |
| Noninterest income | 53,240,000 | USD | evidence → |
| Noninterest expense | 145,842,000 | USD | evidence → |
| Provision for loan losses | -2,632,000 | USD | evidence → |
| Pretax income | 11,736,000 | USD | evidence → |
| Income tax | 1,074,000 | USD | evidence → |
| Net income | 10,662,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 538,291,000 | USD | evidence → |
| Total capital | 573,555,000 | USD | evidence → |
| Risk-weighted assets | 4,916,980,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BANGOR SAVINGS BANK — 2023Q3 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.