Call report 2014Q3
WATERTOWN SAVINGS BANK — 2014Q3
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2014Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 552,384,000 | USD | evidence → |
| Total loans | 340,638,000 | USD | evidence → |
| Allowance for loan losses | 3,748,000 | USD | evidence → |
| Securities available for sale | 84,209,000 | USD | evidence → |
| Securities held to maturity | 27,752,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 471,253,000 | USD | evidence → |
| Interest-bearing deposits | 329,076,000 | USD | evidence → |
| Noninterest-bearing deposits | 142,177,000 | USD | evidence → |
| Equity capital | 77,077,000 | 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 | 13,577,000 | USD | evidence → |
| Interest expense | 785,000 | USD | evidence → |
| Net interest income | 12,792,000 | USD | evidence → |
| Noninterest income | 3,555,000 | USD | evidence → |
| Noninterest expense | 9,741,000 | USD | evidence → |
| Provision for loan losses | 244,000 | USD | evidence → |
| Pretax income | 6,460,000 | USD | evidence → |
| Income tax | 2,400,000 | USD | evidence → |
| Net income | 4,060,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 64,674,000 | USD | evidence → |
| Total capital | 68,422,000 | USD | evidence → |
| Risk-weighted assets | 478,112,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2014Q3 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.