Period-over-period revenue growth.

Revenue growth rate is the percentage change between two periods. Calculate it as (current - previous) ÷ previous × 100. It's the headline metric for growth businesses and the primary input to valuation for SaaS and technology companies. 40%+ annual growth at 10M+ scale is exceptional; 20-30% is strong; 10-20% is solid; below 10% is mature; negative is shrinking.

12M current revenue vs 10M previous = 20% growth. Healthy. But interpretation depends on stage: 20% growth for a 1M startup is disappointing (growing from low base should be easier); 20% growth for a 100M enterprise is excellent (scale makes sustained growth hard). Always contextualise growth with stage and industry.

Rule of Large Numbers: growth slows as businesses scale. A 10M company growing 50% needs to add 5M in a year. A 1B company growing 50% needs 500M - exponentially harder. Most businesses decelerate predictably through revenue bands: 0-10M can grow 100%+, 10-100M can do 40-70%, 100M-1B does 25-40%, >1B does 15-25%.

Run it with sensible defaults

Using current period revenue of 12,000,000, previous period revenue of 10,000,000, the calculation works out to 20.00%. Nudge the inputs toward your own situation and the output recalculates instantly. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Current Period Revenue and Previous Period Revenue — do not pull with equal force. The rate and the time horizon usually dominate — compounding means a small change in either reshapes the final figure more than a similar shift in contribution size. Test this by doubling one input at a time.

How the math works

Growth rate = (current - previous) ÷ previous × 100. The working is transparent — you can verify every step yourself in the formula section below. No black box, no opaque "proprietary model".

What to do with a low result

A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.