Call report 2019Q3
WATERTOWN SAVINGS BANK — 2019Q3
The 22 measures WATERTOWN SAVINGS BANK 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 | 690,979,000 | USD | evidence → |
| Total loans | 450,550,000 | USD | evidence → |
| Allowance for loan losses | 4,558,000 | USD | evidence → |
| Securities available for sale | 103,652,000 | USD | evidence → |
| Securities held to maturity | 5,840,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 575,654,000 | USD | evidence → |
| Interest-bearing deposits | 356,537,000 | USD | evidence → |
| Noninterest-bearing deposits | 219,117,000 | USD | evidence → |
| Equity capital | 110,001,000 | 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 | 19,255,000 | USD | evidence → |
| Interest expense | 982,000 | USD | evidence → |
| Net interest income | 18,273,000 | USD | evidence → |
| Noninterest income | 3,335,000 | USD | evidence → |
| Noninterest expense | 11,984,000 | USD | evidence → |
| Provision for loan losses | 640,000 | USD | evidence → |
| Pretax income | 8,998,000 | USD | evidence → |
| Income tax | 1,836,000 | USD | evidence → |
| Net income | 7,162,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 97,444,000 | USD | evidence → |
| Total capital | 102,002,000 | USD | evidence → |
| Risk-weighted assets | 494,772,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 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.