Call report 2015Q3
WATERTOWN SAVINGS BANK — 2015Q3
The 22 measures WATERTOWN SAVINGS BANK reported to the FFIEC for 2015Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 595,915,000 | USD | evidence → |
| Total loans | 368,205,000 | USD | evidence → |
| Allowance for loan losses | 3,866,000 | USD | evidence → |
| Securities available for sale | 90,983,000 | USD | evidence → |
| Securities held to maturity | 18,849,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 508,982,000 | USD | evidence → |
| Interest-bearing deposits | 347,114,000 | USD | evidence → |
| Noninterest-bearing deposits | 161,868,000 | USD | evidence → |
| Equity capital | 82,287,000 | 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 | 14,670,000 | USD | evidence → |
| Interest expense | 782,000 | USD | evidence → |
| Net interest income | 13,888,000 | USD | evidence → |
| Noninterest income | 3,276,000 | USD | evidence → |
| Noninterest expense | 10,073,000 | USD | evidence → |
| Provision for loan losses | 248,000 | USD | evidence → |
| Pretax income | 6,907,000 | USD | evidence → |
| Income tax | 2,506,000 | USD | evidence → |
| Net income | 4,401,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 69,487,000 | USD | evidence → |
| Total capital | 73,353,000 | USD | evidence → |
| Risk-weighted assets | 446,944,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about WATERTOWN SAVINGS BANK — 2015Q3 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.