Call report 2022Q3
WATERTOWN SAVINGS BANK — 2022Q3
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2022Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 962,753,000 | USD | evidence → |
| Total loans | 485,594,000 | USD | evidence → |
| Allowance for loan losses | 5,857,000 | USD | evidence → |
| Securities available for sale | 280,058,000 | USD | evidence → |
| Securities held to maturity | 18,488,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 841,594,000 | USD | evidence → |
| Interest-bearing deposits | 477,462,000 | USD | evidence → |
| Noninterest-bearing deposits | 364,132,000 | USD | evidence → |
| Equity capital | 115,506,000 | 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 | 19,732,000 | USD | evidence → |
| Interest expense | 458,000 | USD | evidence → |
| Net interest income | 19,274,000 | USD | evidence → |
| Noninterest income | 4,359,000 | USD | evidence → |
| Noninterest expense | 13,856,000 | USD | evidence → |
| Provision for loan losses | 318,000 | USD | evidence → |
| Pretax income | 8,827,000 | USD | evidence → |
| Income tax | 1,522,000 | USD | evidence → |
| Net income | 7,305,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 122,116,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2022Q3 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.