Call report 2022Q3
BERKSHIRE BANK — 2022Q3
The 22 measures BERKSHIRE 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 | 11,310,718,000 | USD | evidence → |
| Total loans | 7,947,606,000 | USD | evidence → |
| Allowance for loan losses | 96,013,000 | USD | evidence → |
| Securities available for sale | 1,470,949,000 | USD | evidence → |
| Securities held to maturity | 592,503,000 | USD | evidence → |
| Trading assets | 59,831,000 | USD | evidence → |
| Total deposits | 10,112,629,000 | USD | evidence → |
| Interest-bearing deposits | 7,091,291,000 | USD | evidence → |
| Noninterest-bearing deposits | 3,021,338,000 | USD | evidence → |
| Equity capital | 937,139,000 | 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 | 265,859,000 | USD | evidence → |
| Interest expense | 17,193,000 | USD | evidence → |
| Net interest income | 248,666,000 | USD | evidence → |
| Noninterest income | 54,083,000 | USD | evidence → |
| Noninterest expense | 215,275,000 | USD | evidence → |
| Provision for loan losses | -990,000 | USD | evidence → |
| Pretax income | 85,772,000 | USD | evidence → |
| Income tax | 18,103,000 | USD | evidence → |
| Net income | 67,669,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 1,119,425,000 | USD | evidence → |
| Total capital | 1,202,610,000 | USD | evidence → |
| Risk-weighted assets | 8,813,474,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BERKSHIRE 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.