Call report 2019Q4
WATERTOWN SAVINGS BANK — 2019Q4
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2019Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 1,274,100,000 | USD | evidence → |
| Total loans | 630,608,000 | USD | evidence → |
| Allowance for loan losses | 3,487,000 | USD | evidence → |
| Securities available for sale | 356,792,000 | USD | evidence → |
| Securities held to maturity | 170,450,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 1,128,346,000 | USD | evidence → |
| Interest-bearing deposits | 1,046,551,000 | USD | evidence → |
| Noninterest-bearing deposits | 81,795,000 | USD | evidence → |
| Equity capital | 128,153,000 | 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 | 37,599,000 | USD | evidence → |
| Interest expense | 6,268,000 | USD | evidence → |
| Net interest income | 31,331,000 | USD | evidence → |
| Noninterest income | 3,769,000 | USD | evidence → |
| Noninterest expense | 28,024,000 | USD | evidence → |
| Provision for loan losses | 180,000 | USD | evidence → |
| Pretax income | 6,913,000 | USD | evidence → |
| Income tax | 1,568,000 | USD | evidence → |
| Net income | 5,345,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 134,781,000 | USD | evidence → |
| Total capital | 138,268,000 | USD | evidence → |
| Risk-weighted assets | 592,184,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2019Q4 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.