Benchmark Radar
AI BENCHMARK PROFILE

FinVerBench

Finance & EconomicsKnowledge & Reasoning

FinVerBench evaluates financial statement verification in LLMs, using SEC 10-K XBRL filings from 43 S&P 500 companies with a four-category error taxonomy (arithmetic, cross-statement linkage, year-over-year, magnitude perturbations).

Released
2026-05-28
Readiness
Paper only
Primary field
Finance & Economics

Why it matters

Financial statement verification requires calibrated judgment under incomplete observability and realistic numerical rendering, not just arithmetic detection. This benchmark provides a reusable diagnostic subset to assess model performance and validity.

Motivation

We introduce FinVerBench, a benchmark and validity study for financial statement verification: determining whether a set of corporate financial statements is numerically consistent from the information shown to the model.

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.