Call report 2009Q1
RIVER TOWN BANK — 2009Q1
The 22 measures RIVER TOWN BANK reported to the FFIEC for 2009Q1, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 158,253,000 | USD | evidence → |
| Total loans | 111,503,000 | USD | evidence → |
| Allowance for loan losses | 1,121,000 | USD | evidence → |
| Securities available for sale | 82,000 | USD | evidence → |
| Securities held to maturity | 6,075,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 134,105,000 | USD | evidence → |
| Interest-bearing deposits | 111,323,000 | USD | evidence → |
| Noninterest-bearing deposits | 22,782,000 | USD | evidence → |
| Equity capital | 16,938,000 | 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 | 2,166,000 | USD | evidence → |
| Interest expense | 712,000 | USD | evidence → |
| Net interest income | 1,454,000 | USD | evidence → |
| Noninterest income | 256,000 | USD | evidence → |
| Noninterest expense | 1,206,000 | USD | evidence → |
| Provision for loan losses | 145,000 | USD | evidence → |
| Pretax income | 359,000 | USD | evidence → |
| Income tax | 132,000 | USD | evidence → |
| Net income | 227,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 16,583,000 | USD | evidence → |
| Total capital | 17,704,000 | USD | evidence → |
| Risk-weighted assets | 108,325,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about RIVER TOWN BANK — 2009Q1 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 since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) 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.