Call report 2020Q1
WATERTOWN SAVINGS BANK — 2020Q1
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2020Q1, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 711,389,000 | USD | evidence → |
| Total loans | 455,459,000 | USD | evidence → |
| Allowance for loan losses | 4,782,000 | USD | evidence → |
| Securities available for sale | 115,632,000 | USD | evidence → |
| Securities held to maturity | 4,851,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 592,951,000 | USD | evidence → |
| Interest-bearing deposits | 380,449,000 | USD | evidence → |
| Noninterest-bearing deposits | 212,502,000 | USD | evidence → |
| Equity capital | 112,848,000 | 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 | 6,203,000 | USD | evidence → |
| Interest expense | 336,000 | USD | evidence → |
| Net interest income | 5,867,000 | USD | evidence → |
| Noninterest income | 1,100,000 | USD | evidence → |
| Noninterest expense | 4,180,000 | USD | evidence → |
| Provision for loan losses | 303,000 | USD | evidence → |
| Pretax income | 2,183,000 | USD | evidence → |
| Income tax | 361,000 | USD | evidence → |
| Net income | 1,822,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 99,966,000 | USD | evidence → |
| Total capital | 104,748,000 | USD | evidence → |
| Risk-weighted assets | 479,939,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2020Q1 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.