Call report 2016Q2
GRAND RIVER BANK — 2016Q2
The 22 measures GRAND RIVER BANK reported to the FFIEC for 2016Q2, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 187,857,000 | USD | evidence → |
| Total loans | 172,569,000 | USD | evidence → |
| Allowance for loan losses | 2,026,000 | USD | evidence → |
| Securities available for sale | 5,811,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 161,037,000 | USD | evidence → |
| Interest-bearing deposits | 132,155,000 | USD | evidence → |
| Noninterest-bearing deposits | 28,882,000 | USD | evidence → |
| Equity capital | 19,441,000 | 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 | 3,417,000 | USD | evidence → |
| Interest expense | 570,000 | USD | evidence → |
| Net interest income | 2,847,000 | USD | evidence → |
| Noninterest income | 869,000 | USD | evidence → |
| Noninterest expense | 3,111,000 | USD | evidence → |
| Provision for loan losses | 266,000 | USD | evidence → |
| Pretax income | 339,000 | USD | evidence → |
| Income tax | -1,132,000 | USD | evidence → |
| Net income | 1,471,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 18,893,000 | USD | evidence → |
| Total capital | 20,919,000 | USD | evidence → |
| Risk-weighted assets | 172,683,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about GRAND RIVER BANK — 2016Q2 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.