Call report 2020Q4
BERKSHIRE BANK — 2020Q4
The 22 measures BERKSHIRE BANK reported to the FFIEC for 2020Q4, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 12,831,337,000 | USD | evidence → |
| Total loans | 8,399,866,000 | USD | evidence → |
| Allowance for loan losses | 127,302,000 | USD | evidence → |
| Securities available for sale | 1,695,232,000 | USD | evidence → |
| Securities held to maturity | 465,091,000 | USD | evidence → |
| Trading assets | 169,459,000 | USD | evidence → |
| Total deposits | 10,924,105,000 | USD | evidence → |
| Interest-bearing deposits | 8,241,355,000 | USD | evidence → |
| Noninterest-bearing deposits | 2,682,750,000 | USD | evidence → |
| Equity capital | 1,190,644,000 | 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 | 409,712,000 | USD | evidence → |
| Interest expense | 87,012,000 | USD | evidence → |
| Net interest income | 322,700,000 | USD | evidence → |
| Noninterest income | 59,221,000 | USD | evidence → |
| Noninterest expense | 805,242,000 | USD | evidence → |
| Provision for loan losses | 76,083,000 | USD | evidence → |
| Pretax income | -503,474,000 | USD | evidence → |
| Income tax | -15,454,000 | USD | evidence → |
| Net income | -507,862,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 1,148,205,000 | USD | evidence → |
| Total capital | 1,243,287,000 | USD | evidence → |
| Risk-weighted assets | 8,292,863,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BERKSHIRE BANK — 2020Q4 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.