Call report 2003Q3
WELLESLEY BANK — 2003Q3
The 22 measures WELLESLEY BANK reported to the FFIEC for 2003Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 133,134,000 | USD | evidence → |
| Total loans | 89,049,000 | USD | evidence → |
| Allowance for loan losses | 1,001,000 | USD | evidence → |
| Securities available for sale | 34,689,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 116,048,000 | USD | evidence → |
| Interest-bearing deposits | 102,688,000 | USD | evidence → |
| Noninterest-bearing deposits | 13,360,000 | USD | evidence → |
| Equity capital | 10,591,000 | 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 | 5,340,000 | USD | evidence → |
| Interest expense | 1,933,000 | USD | evidence → |
| Net interest income | 3,407,000 | USD | evidence → |
| Noninterest income | 360,000 | USD | evidence → |
| Noninterest expense | 2,734,000 | USD | evidence → |
| Provision for loan losses | 140,000 | USD | evidence → |
| Pretax income | 894,000 | USD | evidence → |
| Income tax | 296,000 | USD | evidence → |
| Net income | 598,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 10,621,000 | USD | evidence → |
| Total capital | 11,622,000 | USD | evidence → |
| Risk-weighted assets | 92,882,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WELLESLEY BANK — 2003Q3 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.