Call report 2025Q1
ORRSTOWN BANK — 2025Q1
The 22 measures ORRSTOWN BANK reported to the FFIEC for 2025Q1, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 5,441,642,000 | USD | evidence → |
| Total loans | 3,881,246,000 | USD | evidence → |
| Allowance for loan losses | 47,804,000 | USD | evidence → |
| Securities available for sale | 855,249,000 | USD | evidence → |
| Securities held to maturity | 0 | USD | evidence → |
| Trading assets | 12,909,000 | USD | evidence → |
| Total deposits | 4,650,117,000 | USD | evidence → |
| Interest-bearing deposits | 3,708,409,000 | USD | evidence → |
| Noninterest-bearing deposits | 941,708,000 | USD | evidence → |
| Equity capital | 586,078,000 | 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 | 75,517,000 | USD | evidence → |
| Interest expense | 25,498,000 | USD | evidence → |
| Net interest income | 50,019,000 | USD | evidence → |
| Noninterest income | 11,773,000 | USD | evidence → |
| Noninterest expense | 37,709,000 | USD | evidence → |
| Provision for loan losses | -554,000 | USD | evidence → |
| Pretax income | 24,637,000 | USD | evidence → |
| Income tax | 5,105,000 | USD | evidence → |
| Net income | 19,532,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 506,304,000 | USD | evidence → |
| Total capital | 555,955,000 | USD | evidence → |
| Risk-weighted assets | 4,270,435,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about ORRSTOWN BANK — 2025Q1 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.