Call report 2022Q3
ORRSTOWN BANK — 2022Q3
The 22 measures ORRSTOWN BANK reported to the FFIEC for 2022Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 2,848,544,000 | USD | evidence → |
| Total loans | 2,098,102,000 | USD | evidence → |
| Allowance for loan losses | 24,709,000 | USD | evidence → |
| Securities available for sale | 503,211,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 10,987,000 | USD | evidence → |
| Total deposits | 2,524,790,000 | USD | evidence → |
| Interest-bearing deposits | 1,955,847,000 | USD | evidence → |
| Noninterest-bearing deposits | 568,943,000 | USD | evidence → |
| Equity capital | 252,182,000 | 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 | 76,558,000 | USD | evidence → |
| Interest expense | 2,918,000 | USD | evidence → |
| Net interest income | 73,640,000 | USD | evidence → |
| Noninterest income | 21,170,000 | USD | evidence → |
| Noninterest expense | 59,761,000 | USD | evidence → |
| Provision for loan losses | 3,575,000 | USD | evidence → |
| Pretax income | 31,325,000 | USD | evidence → |
| Income tax | 5,802,000 | USD | evidence → |
| Net income | 25,523,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 272,413,000 | USD | evidence → |
| Total capital | 298,755,000 | USD | evidence → |
| Risk-weighted assets | 2,315,026,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about ORRSTOWN BANK — 2022Q3 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.