Call report 2023Q2
DOGWOOD STATE BANK — 2023Q2
The 22 measures DOGWOOD STATE BANK reported to the FFIEC for 2023Q2, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 1,302,519,000 | USD | evidence → |
| Total loans | 1,010,077,000 | USD | evidence → |
| Allowance for loan losses | 11,205,000 | USD | evidence → |
| Securities available for sale | 39,565,000 | USD | evidence → |
| Securities held to maturity | 79,759,000 | USD | evidence → |
| Trading assets | 0 | USD | evidence → |
| Total deposits | 1,066,321,000 | USD | evidence → |
| Interest-bearing deposits | 757,903,000 | USD | evidence → |
| Noninterest-bearing deposits | 308,418,000 | USD | evidence → |
| Equity capital | 157,659,000 | 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 | 29,630,000 | USD | evidence → |
| Interest expense | 9,733,000 | USD | evidence → |
| Net interest income | 19,897,000 | USD | evidence → |
| Noninterest income | 5,350,000 | USD | evidence → |
| Noninterest expense | 16,883,000 | USD | evidence → |
| Provision for loan losses | 2,308,000 | USD | evidence → |
| Pretax income | 6,034,000 | USD | evidence → |
| Income tax | 1,257,000 | USD | evidence → |
| Net income | 4,777,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 153,042,000 | USD | evidence → |
| Total capital | 165,148,000 | USD | evidence → |
| Risk-weighted assets | 1,071,766,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about DOGWOOD STATE BANK — 2023Q2 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.