Call report 2009Q2
MACHIAS SAVINGS BANK — 2009Q2
The 22 measures MACHIAS SAVINGS 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 | 947,247,000 | USD | evidence → |
| Total loans | 848,478,000 | USD | evidence → |
| Allowance for loan losses | 14,208,000 | USD | evidence → |
| Securities available for sale | 39,113,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 708,780,000 | USD | evidence → |
| Interest-bearing deposits | 644,743,000 | USD | evidence → |
| Noninterest-bearing deposits | 64,037,000 | USD | evidence → |
| Equity capital | 92,429,000 | 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 | 28,307,000 | USD | evidence → |
| Interest expense | 8,332,000 | USD | evidence → |
| Net interest income | 19,975,000 | USD | evidence → |
| Noninterest income | 4,698,000 | USD | evidence → |
| Noninterest expense | 13,276,000 | USD | evidence → |
| Provision for loan losses | 5,359,000 | USD | evidence → |
| Pretax income | 2,593,000 | USD | evidence → |
| Income tax | 862,000 | USD | evidence → |
| Net income | 1,671,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 90,144,000 | USD | evidence → |
| Total capital | 100,829,000 | USD | evidence → |
| Risk-weighted assets | 850,490,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about MACHIAS SAVINGS 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.