Revenue Recognition Accuracy
Revenue Recognition Accuracy: Percentage of revenue correctly recognized per ASC 606.
Formula
Recognition Accuracy = Revenue recognized correctly / Total revenue × 100Computable definition
The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.
sum(field.recognized_revenue where field.recognition_correct = true) / sum(field.recognized_revenue)Unit: percent (the formula yields an unscaled ratio)
Data requirements
Grain: Monthly aggregate · Frequency: Monthly · Aggregation: aggregate (month) · Staged: no · Main source: Finance / ERP.
| Field | Dataset | Type |
|---|---|---|
period_start | revenue_schedule | date |
recognition_correct | revenue_schedule | boolean |
recognized_revenue | revenue_schedule | decimal |
Example SQL (Postgres)
SELECT (CAST((SELECT COALESCE(SUM(recognized_revenue), 0) FROM revenue_schedule WHERE period_start >= :period_start AND period_start <= :period_end AND recognition_correct = TRUE) AS DOUBLE PRECISION) / NULLIF((SELECT COALESCE(SUM(recognized_revenue), 0) FROM revenue_schedule WHERE period_start >= :period_start AND period_start <= :period_end), 0)) AS revenue_recognition_accuracy From an agent: with the GASP MCP server, call
lookup_metric({ "name": "Revenue Recognition Accuracy" }) or generate_query({ "metric": "Revenue Recognition Accuracy", "adapter": "<your adapter JSON>" }).