In SQL, MRR growth rate for the whole period is ROUND(100.0 * (SUM(mrr_end) - SUM(mrr_start)) / SUM(mrr_start), 2) over the monthly table. On the sample data it returns 7.62.
MRR growth rate = (MRR at end − MRR at start) ÷ MRR at start × 100
What you need
MRR growth rate is the percentage change in monthly recurring revenue over a month: closing MRR minus opening MRR, divided by opening MRR, times 100. You need these columns, here from the sample file monthly.csv:
- mrr_start: MRR at start of month
- mrr_end: MRR at end of month
CREATE TABLE monthly (
month TEXT, -- 'YYYY-MM'
mrr_start INTEGER,
mrr_end INTEGER
);Step by step
- Load monthly.csv into a table called monthly. The table only needs the month column and the columns below.
- Run the first query to get one row per month.
- Run the whole-period query. It adds up each column first and divides once; averaging the monthly results gives a different, usually wrong, answer.
The queries
SELECT
month,
ROUND(100.0 * (mrr_end - mrr_start) / NULLIF(mrr_start, 0), 2) AS mrr_growth_rate
FROM monthly
ORDER BY month;SELECT ROUND(100.0 * (SUM(mrr_end) - SUM(mrr_start)) / NULLIF(SUM(mrr_start), 0), 2) AS mrr_growth_rate
FROM monthly;What you should get
Run against the sample data, the code above returns these values (in percent):
| Month | mrr_start | mrr_end | mrr_growth_rate |
|---|---|---|---|
| 2026-01 | 1,80,000 | 1,95,500 | 8.61% |
| 2026-02 | 1,95,500 | 2,12,900 | 8.90% |
| 2026-03 | 2,12,900 | 2,30,000 | 8.03% |
| 2026-04 | 2,30,000 | 2,41,400 | 4.96% |
| 2026-05 | 2,41,400 | 2,60,400 | 7.87% |
| 2026-06 | 2,60,400 | 2,80,600 | 7.76% |
| Whole period | 13,20,200 | 14,20,800 | 7.62% |
(₹14,20,800 − ₹13,20,200) ÷ ₹13,20,200 × 100 = 7.62%
Notes for SQL
- Integer columns divide as integers in PostgreSQL, SQLite and SQL Server, so 3 / 4 gives 0. Multiplying by 1.0 (or 100.0) first makes the division decimal.
- NULLIF(x, 0) turns a zero denominator into NULL, so the query returns NULL for that row instead of failing with a division-by-zero error.
- Tested on SQLite and DuckDB. SUM, NULLIF and ROUND work the same in PostgreSQL, MySQL and BigQuery; SQL Server uses TOP instead of LIMIT where a query has one.
Where MRR growth rate misleads
- Annual plans should be divided by twelve to count as MRR, not added in the month they are paid.
- One-off fees and usage spikes are not recurring; leave them out.
- Discounts that expire will raise MRR later without any change in customers; note them.
The full explanation, with a calculator, is on the MRR growth rate page.
Same metric, other tools
Related metrics in SQL
Learn more about SQL
- Python and SQL for data analysis, side by side — 3 min read
- How to find out what changed in your sales data — 2 min read
About the data on this page
The figures come from a small made-up dataset, printed above in full so you can check every number by hand. Download it as monthly.csv. The results are computed from those rows when the page is built, and the Excel formulas, SQL and Python on these pages are run against the same rows before publishing, so the code and the answers agree.
To get these numbers from your own data without writing formulas, try AnalyzeIt: ask in plain words and it shows the working behind every figure.
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