Month-over-month and year-over-year revenue comparison is the most fundamental financial analysis any business needs. Here's how Taptic generates it from plain English.
This is part of the Taptic Data Database query library. Explore related queries: SQL query for monthly revenue trend, SQL query for top customers by revenue, SQL query for revenue by region, and more.
The question
The SQL Taptic generates
WITH monthly AS ( SELECT DATE_TRUNC('month', order_date) AS month, ROUND(SUM(total_amount)::numeric, 2) AS revenue FROM orders WHERE order_date >= NOW() - INTERVAL '24 months' AND status NOT IN ('cancelled', 'refunded') GROUP BY DATE_TRUNC('month', order_date) ) SELECT TO_CHAR(month, 'YYYY-MM') AS order_month, revenue, LAG(revenue, 1) OVER (ORDER BY month) AS prior_month_revenue, ROUND( (revenue - LAG(revenue, 1) OVER (ORDER BY month)) / NULLIF(LAG(revenue, 1) OVER (ORDER BY month), 0) * 100, 2 ) AS mom_change_pct, LAG(revenue, 12) OVER (ORDER BY month) AS prior_year_revenue, ROUND( (revenue - LAG(revenue, 12) OVER (ORDER BY month)) / NULLIF(LAG(revenue, 12) OVER (ORDER BY month), 0) * 100, 2 ) AS yoy_change_pct FROM monthly ORDER BY month ASC
This query was generated by Taptic Data from plain English against a real Any SQL database schema. In Taptic, you type the question — the AI writes the SQL, runs it, and returns the result. You can edit the SQL, ask for explanations, and save it as a refreshable report. This type of analysis is commonly used in ai business analytics and automated report emails.
How this query works
What it returns
Monthly revenue table with absolute value, prior month revenue, MoM % change, prior year revenue, and YoY % change — 24 months in chronological order.
Why it matters
All queries and use cases on this page relate to analyzing your Any SQL database data in Taptic. To see the full analytics workflow, explore ai business analytics, automated report emails, sql server reporting.
FAQ
Generate this automatically
In Taptic Data, you type "Show me monthly revenue for the last 24 months with month-ov..." and this SQL runs automatically against your real Any SQL database data.
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