Call report 2022Q4
WATERTOWN SAVINGS BANK — 2022Q4
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2022Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 923,496,000 | USD | evidence → |
| Total loans | 495,171,000 | USD | evidence → |
| Allowance for loan losses | 5,320,000 | USD | evidence → |
| Securities available for sale | 276,925,000 | USD | evidence → |
| Securities held to maturity | 17,806,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 799,181,000 | USD | evidence → |
| Interest-bearing deposits | 448,558,000 | USD | evidence → |
| Noninterest-bearing deposits | 350,623,000 | USD | evidence → |
| Equity capital | 118,494,000 | 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 | 26,976,000 | USD | evidence → |
| Interest expense | 632,000 | USD | evidence → |
| Net interest income | 26,344,000 | USD | evidence → |
| Noninterest income | 5,653,000 | USD | evidence → |
| Noninterest expense | 19,863,000 | USD | evidence → |
| Provision for loan losses | 450,000 | USD | evidence → |
| Pretax income | 10,982,000 | USD | evidence → |
| Income tax | 2,167,000 | USD | evidence → |
| Net income | 8,815,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 123,625,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2022Q4 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.