Call report 2009Q2
LANDMARK COMMUNITY BANK — 2009Q2
The 22 measures LANDMARK COMMUNITY BANK reported to the FFIEC for 2009Q2, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 178,260,000 | USD | evidence → |
| Total loans | 130,516,000 | USD | evidence → |
| Allowance for loan losses | 1,469,000 | USD | evidence → |
| Securities available for sale | 24,852,000 | USD | evidence → |
| Securities held to maturity | 30,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 129,222,000 | USD | evidence → |
| Interest-bearing deposits | 110,420,000 | USD | evidence → |
| Noninterest-bearing deposits | 18,801,000 | USD | evidence → |
| Equity capital | 15,895,000 | 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 | 4,532,000 | USD | evidence → |
| Interest expense | 1,598,000 | USD | evidence → |
| Net interest income | 2,934,000 | USD | evidence → |
| Noninterest income | 179,000 | USD | evidence → |
| Noninterest expense | 2,457,000 | USD | evidence → |
| Provision for loan losses | 85,000 | USD | evidence → |
| Pretax income | 791,000 | USD | evidence → |
| Income tax | 266,000 | USD | evidence → |
| Net income | 525,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 15,747,000 | USD | evidence → |
| Total capital | 17,216,000 | USD | evidence → |
| Risk-weighted assets | 144,960,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about LANDMARK COMMUNITY BANK — 2009Q2 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 since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) 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.