Call report 2019Q4
SIDNEY FEDERAL SAVINGS AND LOAN ASSOCIATION — 2019Q4
The 22 measures SIDNEY FEDERAL SAVINGS AND LOAN ASSOCIATION reported to the FFIEC for 2019Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 18,368,000 | USD | evidence → |
| Total loans | 14,077,000 | USD | evidence → |
| Allowance for loan losses | 150,000 | USD | evidence → |
| Securities available for sale | 2,521,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 14,238,000 | USD | evidence → |
| Interest-bearing deposits | 12,856,000 | USD | evidence → |
| Noninterest-bearing deposits | 1,382,000 | USD | evidence → |
| Equity capital | 1,287,000 | 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 | 656,000 | USD | evidence → |
| Interest expense | 94,000 | USD | evidence → |
| Net interest income | 562,000 | USD | evidence → |
| Noninterest income | 36,000 | USD | evidence → |
| Noninterest expense | 876,000 | USD | evidence → |
| Provision for loan losses | 30,000 | USD | evidence → |
| Pretax income | -303,000 | USD | evidence → |
| Income tax | 0 | USD | evidence → |
| Net income | -303,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 1,267,000 | USD | evidence → |
| Total capital | 1,401,000 | USD | evidence → |
| Risk-weighted assets | 10,750,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about SIDNEY FEDERAL SAVINGS AND LOAN ASSOCIATION — 2019Q4 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.