Call report 2022Q4
ORRSTOWN BANK — 2022Q4
The 22 measures ORRSTOWN BANK reported to the FFIEC for 2022Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 2,918,941,000 | USD | evidence → |
| Total loans | 2,162,112,000 | USD | evidence → |
| Allowance for loan losses | 25,178,000 | USD | evidence → |
| Securities available for sale | 513,351,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 10,466,000 | USD | evidence → |
| Total deposits | 2,495,195,000 | USD | evidence → |
| Interest-bearing deposits | 1,989,925,000 | USD | evidence → |
| Noninterest-bearing deposits | 505,270,000 | USD | evidence → |
| Equity capital | 249,265,000 | 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 | 108,652,000 | USD | evidence → |
| Interest expense | 7,045,000 | USD | evidence → |
| Net interest income | 101,607,000 | USD | evidence → |
| Noninterest income | 27,115,000 | USD | evidence → |
| Noninterest expense | 80,066,000 | USD | evidence → |
| Provision for loan losses | 4,160,000 | USD | evidence → |
| Pretax income | 44,357,000 | USD | evidence → |
| Income tax | 8,305,000 | USD | evidence → |
| Net income | 36,052,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 266,122,000 | USD | evidence → |
| Total capital | 292,933,000 | USD | evidence → |
| Risk-weighted assets | 2,386,339,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about ORRSTOWN BANK — 2022Q4 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.