Call report 2017Q3
KEARNY BANK — 2017Q3
The 22 measures KEARNY BANK reported to the FFIEC for 2017Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 4,789,344,000 | USD | evidence → |
| Total loans | 3,264,136,000 | USD | evidence → |
| Allowance for loan losses | 29,445,000 | USD | evidence → |
| Securities available for sale | 636,600,000 | USD | evidence → |
| Securities held to maturity | 467,926,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 3,086,338,000 | USD | evidence → |
| Interest-bearing deposits | 2,790,523,000 | USD | evidence → |
| Noninterest-bearing deposits | 295,815,000 | USD | evidence → |
| Equity capital | 846,039,000 | 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 | 110,378,000 | USD | evidence → |
| Interest expense | 31,056,000 | USD | evidence → |
| Net interest income | 79,322,000 | USD | evidence → |
| Noninterest income | 7,317,000 | USD | evidence → |
| Noninterest expense | 63,229,000 | USD | evidence → |
| Provision for loan losses | 3,627,000 | USD | evidence → |
| Pretax income | 19,762,000 | USD | evidence → |
| Income tax | 6,267,000 | USD | evidence → |
| Net income | 13,495,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 732,237,000 | USD | evidence → |
| Total capital | 761,682,000 | USD | evidence → |
| Risk-weighted assets | 3,250,268,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about KEARNY BANK — 2017Q3 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.