Analyze revenue growth rates (MoM, QoQ, YoY) with seasonal adjustment, run rate projections, and growth acceleration/deceleration charts.
This tool turns a raw revenue history into growth rates: month-over-month, quarter-over-quarter, and year-over-year, plus an acceleration and deceleration chart that shows where momentum actually stands. Paste a series of monthly or quarterly figures and it computes each rate against the correct baseline, applies seasonal adjustment when the history supports it, and projects an annualized run rate. The mistake users most often make is reading one period's rate as a trend. A January dip against December is calendar noise, and a large YoY figure can simply mean last year's base was weak.
A concrete input and expected output from the current implementation.
Input
Monthly revenue in thousands of dollars: 2024-01,80 2024-02,84 2024-03,88 2024-04,92 2024-05,96 2024-06,100 2024-07,104 2024-08,108 2024-09,112 2024-10,116 2024-11,120 2024-12,124 2025-01,130
Expected output
MoM (Jan 2025 vs Dec 2024): +4.8% QoQ (Q4 2024 vs Q3 2024): +11.1% YoY (Jan 2025 vs Jan 2024): +62.5% Run rate (Jan 2025 annualized): 1,560 Trend: MoM fell from 5.0% to 3.3% through 2024, then rose to 4.8% in January Seasonal adjustment: not applied - under two years of history
Each rate uses the baseline its name implies: the prior month, the summed prior quarter, and the same month one year earlier. Through 2024 the series adds a constant 4 per month, so the percentage rate falls as the base grows (5.0% in February to 3.3% in December), while January's jump of 6 lifts MoM back to 4.8% - decelerating through the year, with a bump in the latest month.
Each rate divides the current period by its proper baseline: the previous month for MoM, the summed total of the prior quarter for QoQ - which requires all three months to be complete - and the same period one year earlier for YoY. The acceleration and deceleration chart plots the change from one growth rate to the next, so a falling percentage while absolute dollar growth stays constant still shows as deceleration.
Seasonal adjustment isolates calendar patterns - the December peak, the summer trough - by comparing each period with its own prior-year counterpart instead of its immediate predecessor. The run rate annualizes the most recent period's revenue, multiplying a month by 12 or a quarter by 4, and is only as good as the assumption that the latest period repeats. With a single year of history, seasonal factors cannot be estimated, and rates are reported raw.
December carries holiday and year-end spending that January never repeats, so the January MoM rate is mostly calendar artifact, not a business signal. Compare January against January (YoY) or read the seasonally adjusted value, which strips out the predictable year-end bump, and the apparent collapse usually shrinks to an ordinary seasonal dip.
Only as a rough first pass. The run rate assumes the most recent month or quarter simply repeats for a full year, which ignores seasonality, churn, new customers, and one-off deals, so it is a framing number for a board slide rather than a forecast. A bottom-up plan built from pipeline, retention, and renewal data is the defensible estimate.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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