Call report 2019Q3
BANKCDA — 2019Q3
The 22 measures BANKCDA reported to the FFIEC for 2019Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 137,598,000 | USD | evidence → |
| Total loans | 74,663,000 | USD | evidence → |
| Allowance for loan losses | 1,163,000 | USD | evidence → |
| Securities available for sale | 41,012,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 118,638,000 | USD | evidence → |
| Interest-bearing deposits | 85,469,000 | USD | evidence → |
| Noninterest-bearing deposits | 33,169,000 | USD | evidence → |
| Equity capital | 17,550,000 | 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 | 4,196,000 | USD | evidence → |
| Interest expense | 232,000 | USD | evidence → |
| Net interest income | 3,964,000 | USD | evidence → |
| Noninterest income | 574,000 | USD | evidence → |
| Noninterest expense | 3,079,000 | USD | evidence → |
| Provision for loan losses | 0 | USD | evidence → |
| Pretax income | 1,476,000 | USD | evidence → |
| Income tax | 404,000 | USD | evidence → |
| Net income | 1,072,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 17,029,000 | USD | evidence → |
| Total capital | 18,217,000 | USD | evidence → |
| Risk-weighted assets | 101,730,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BANKCDA — 2019Q3 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.