Call report 2019Q1
WATERTOWN SAVINGS BANK — 2019Q1
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2019Q1, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 675,454,000 | USD | evidence → |
| Total loans | 440,504,000 | USD | evidence → |
| Allowance for loan losses | 4,377,000 | USD | evidence → |
| Securities available for sale | 115,628,000 | USD | evidence → |
| Securities held to maturity | 7,725,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 566,361,000 | USD | evidence → |
| Interest-bearing deposits | 360,108,000 | USD | evidence → |
| Noninterest-bearing deposits | 206,253,000 | USD | evidence → |
| Equity capital | 104,293,000 | 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 | 6,272,000 | USD | evidence → |
| Interest expense | 305,000 | USD | evidence → |
| Net interest income | 5,967,000 | USD | evidence → |
| Noninterest income | 1,064,000 | USD | evidence → |
| Noninterest expense | 3,927,000 | USD | evidence → |
| Provision for loan losses | 275,000 | USD | evidence → |
| Pretax income | 2,824,000 | USD | evidence → |
| Income tax | 699,000 | USD | evidence → |
| Net income | 2,125,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 92,557,000 | USD | evidence → |
| Total capital | 96,934,000 | USD | evidence → |
| Risk-weighted assets | 492,428,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2019Q1 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.