Call report 2025Q4
ORRSTOWN BANK — 2025Q4
The 22 measures ORRSTOWN BANK reported to the FFIEC for 2025Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 5,541,962,000 | USD | evidence → |
| Total loans | 4,026,783,000 | USD | evidence → |
| Allowance for loan losses | 47,681,000 | USD | evidence → |
| Securities available for sale | 952,497,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 14,463,000 | USD | evidence → |
| Total deposits | 4,533,712,000 | USD | evidence → |
| Interest-bearing deposits | 3,659,599,000 | USD | evidence → |
| Noninterest-bearing deposits | 874,113,000 | USD | evidence → |
| Equity capital | 623,489,000 | 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 | 303,727,000 | USD | evidence → |
| Interest expense | 99,153,000 | USD | evidence → |
| Net interest income | 204,574,000 | USD | evidence → |
| Noninterest income | 53,602,000 | USD | evidence → |
| Noninterest expense | 147,731,000 | USD | evidence → |
| Provision for loan losses | 126,000 | USD | evidence → |
| Pretax income | 110,536,000 | USD | evidence → |
| Income tax | 23,441,000 | USD | evidence → |
| Net income | 87,095,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 538,598,000 | USD | evidence → |
| Total capital | 588,026,000 | USD | evidence → |
| Risk-weighted assets | 4,415,917,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about ORRSTOWN BANK — 2025Q4 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.