Call report 2025Q3
FROST BANK — 2025Q3
The 22 measures FROST BANK reported to the FFIEC for 2025Q3, each linked to its source filing.
Balance sheet
What the bank holds and owes at quarter end
| Measure | Value | Unit | Source |
|---|---|---|---|
| Total assets | 52,598,588,000 | USD | evidence → |
| Total loans | 21,445,786,000 | USD | evidence → |
| Allowance for loan losses | 280,221,000 | USD | evidence → |
| Securities available for sale | 16,842,343,000 | USD | evidence → |
| Securities held to maturity | 3,455,232,000 | USD | evidence → |
| Trading assets | 134,619,000 | USD | evidence → |
| Total deposits | 42,943,439,000 | USD | evidence → |
| Interest-bearing deposits | 28,388,996,000 | USD | evidence → |
| Noninterest-bearing deposits | 14,554,443,000 | USD | evidence → |
| Equity capital | 4,405,626,000 | 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 | 1,809,238,000 | USD | evidence → |
| Interest expense | 510,422,000 | USD | evidence → |
| Net interest income | 1,298,816,000 | USD | evidence → |
| Noninterest income | 365,486,000 | USD | evidence → |
| Noninterest expense | 1,042,064,000 | USD | evidence → |
| Provision for loan losses | 37,501,000 | USD | evidence → |
| Pretax income | 589,246,000 | USD | evidence → |
| Income tax | 96,237,000 | USD | evidence → |
| Net income | 493,009,000 | USD | evidence → |
Regulatory capital
Basel measures — not reported for every quarter
| Measure | Value | Unit | Source |
|---|---|---|---|
| Tier 1 capital | 4,633,566,000 | USD | evidence → |
| Total capital | 4,961,478,000 | USD | evidence → |
| Risk-weighted assets | 32,298,998,000 | USD | evidence → |
Machine access — free, no API key
Every figure shown here about FROST BANK — 2025Q3 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.