Call report 2019Q2
BRAINERD SAVINGS & LOAN FEDERAL ASSOCIATION — 2019Q2
The 22 measures BRAINERD SAVINGS & LOAN FEDERAL ASSOCIATION reported to the FFIEC for 2019Q2, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 67,094,000 | USD | evidence → |
| Total loans | 48,669,000 | USD | evidence → |
| Allowance for loan losses | 406,000 | USD | evidence → |
| Securities available for sale | 6,325,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 52,247,000 | USD | evidence → |
| Interest-bearing deposits | 48,000,000 | USD | evidence → |
| Noninterest-bearing deposits | 4,247,000 | USD | evidence → |
| Equity capital | 4,919,000 | 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 | 1,387,000 | USD | evidence → |
| Interest expense | 358,000 | USD | evidence → |
| Net interest income | 1,029,000 | USD | evidence → |
| Noninterest income | 141,000 | USD | evidence → |
| Noninterest expense | 1,361,000 | USD | evidence → |
| Provision for loan losses | 6,000 | USD | evidence → |
| Pretax income | -181,000 | USD | evidence → |
| Income tax | -55,000 | USD | evidence → |
| Net income | -126,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 5,036,000 | USD | evidence → |
| Total capital | 5,442,000 | USD | evidence → |
| Risk-weighted assets | 40,303,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BRAINERD SAVINGS & LOAN FEDERAL ASSOCIATION — 2019Q2 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.