Call report 2023Q1
FIRST BANK RICHMOND — 2023Q1
The 22 measures FIRST BANK RICHMOND reported to the FFIEC for 2023Q1, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 1,357,547,000 | USD | evidence → |
| Total loans | 1,004,771,000 | USD | evidence → |
| Allowance for loan losses | 15,495,000 | USD | evidence → |
| Securities available for sale | 290,776,000 | USD | evidence → |
| Securities held to maturity | 5,752,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 1,054,130,000 | USD | evidence → |
| Interest-bearing deposits | 933,207,000 | USD | evidence → |
| Noninterest-bearing deposits | 120,923,000 | USD | evidence → |
| Equity capital | 108,224,000 | 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 | 15,174,000 | USD | evidence → |
| Interest expense | 5,402,000 | USD | evidence → |
| Net interest income | 9,772,000 | USD | evidence → |
| Noninterest income | 1,210,000 | USD | evidence → |
| Noninterest expense | 7,014,000 | USD | evidence → |
| Provision for loan losses | 340,000 | USD | evidence → |
| Pretax income | 3,798,000 | USD | evidence → |
| Income tax | 666,000 | USD | evidence → |
| Net income | 3,132,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 151,738,000 | USD | evidence → |
| Total capital | 166,213,000 | USD | evidence → |
| Risk-weighted assets | 1,154,818,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about FIRST BANK RICHMOND — 2023Q1 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.