Call report 2020Q3
BERKSHIRE BANK — 2020Q3
The 22 measures BERKSHIRE BANK reported to the FFIEC for 2020Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 12,607,803,000 | USD | evidence → |
| Total loans | 8,999,932,000 | USD | evidence → |
| Allowance for loan losses | 134,414,000 | USD | evidence → |
| Securities available for sale | 1,575,287,000 | USD | evidence → |
| Securities held to maturity | 330,197,000 | USD | evidence → |
| Trading assets | 189,151,000 | USD | evidence → |
| Total deposits | 10,561,436,000 | USD | evidence → |
| Interest-bearing deposits | 7,881,294,000 | USD | evidence → |
| Noninterest-bearing deposits | 2,680,142,000 | USD | evidence → |
| Equity capital | 1,175,904,000 | 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 | 317,597,000 | USD | evidence → |
| Interest expense | 72,060,000 | USD | evidence → |
| Net interest income | 245,537,000 | USD | evidence → |
| Noninterest income | 42,008,000 | USD | evidence → |
| Noninterest expense | 736,428,000 | USD | evidence → |
| Provision for loan losses | 66,091,000 | USD | evidence → |
| Pretax income | -520,644,000 | USD | evidence → |
| Income tax | -13,677,000 | USD | evidence → |
| Net income | -522,919,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 1,133,952,000 | USD | evidence → |
| Total capital | 1,231,588,000 | USD | evidence → |
| Risk-weighted assets | 8,622,035,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about BERKSHIRE BANK — 2020Q3 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.