Call report 2015Q2
FIRST FEDERAL SAVINGS & LOAN ASSOCIATION OF BUCKS COUNTY — 2015Q2
The 22 measures FIRST FEDERAL SAVINGS & LOAN ASSOCIATION OF BUCKS COUNTY reported to the FFIEC for 2015Q2, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 769,426,000 | USD | evidence → |
| Total loans | 552,884,000 | USD | evidence → |
| Allowance for loan losses | 4,793,000 | USD | evidence → |
| Securities available for sale | 95,560,000 | USD | evidence → |
| Securities held to maturity | 71,703,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 579,429,000 | USD | evidence → |
| Interest-bearing deposits | 531,174,000 | USD | evidence → |
| Noninterest-bearing deposits | 48,255,000 | USD | evidence → |
| Equity capital | 83,364,000 | 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 | 13,925,000 | USD | evidence → |
| Interest expense | 2,251,000 | USD | evidence → |
| Net interest income | 11,674,000 | USD | evidence → |
| Noninterest income | 872,000 | USD | evidence → |
| Noninterest expense | 9,025,000 | USD | evidence → |
| Provision for loan losses | 356,000 | USD | evidence → |
| Pretax income | 3,167,000 | USD | evidence → |
| Income tax | 948,000 | USD | evidence → |
| Net income | 2,219,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 85,338,000 | USD | evidence → |
| Total capital | 90,377,000 | USD | evidence → |
| Risk-weighted assets | 570,350,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about FIRST FEDERAL SAVINGS & LOAN ASSOCIATION OF BUCKS COUNTY — 2015Q2 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.