Growth Rate Calculator
Enter any three inputs. We’ll compute the fourth.
Starting value (e.g., MRR, users, GMV).
Ending value after the given number of periods.
Periods can be months, weeks, quarters, etc. (you decide).
%
Example: 5 = 5% compounded per period.
Result
Rate % / period
Value
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Provide any three inputs to compute the fourth.
Why growth rate matters
- Compare momentum: one per-period % normalizes across time windows and smooths one-off spikes.
- Plan & forecast: compounded growth helps set targets, estimate time-to-goal, and pressure-test funnels.
- Investor signaling: growth paired with retention and efficient acquisition tells a credible story.
Which “rate” should I use?
- MoM / WoW: great for early product cadence & experiments.
- QoQ: suits enterprise GTM and seasonality-aware reporting.
- YoY / CAGR: best for longer-term, investor-grade comparisons.
Core formulas (compounded)
Final = Initial × (1 + r)^n
Initial = Final ÷ (1 + r)^n
n = ln(Final/Initial) ÷ ln(1 + r)
r = (Final/Initial)^(1/n) − 1
What’s “good” by stage? (directional, not absolute)
- Pre-PMF: focus on weekly engagement & retention curves; growth is noisy.
- Seed → A: ~10–25% MoM on a meaningful base with improving retention/CAC payback is compelling.
- A → C: ~5–15% MoM (≈60–200% YoY) alongside better sales efficiency, stable cohorts, rising NDR.
- Later / PE: 20–50% YoY with margin expansion, clean cohorts, and cash conversion can be attractive.
What excites VC vs. PE (broad heuristics)
VC
- Compounding growth on a meaningful base
- Strong retention; NDR > 100–120% (SaaS)
- CAC payback < ~12 months (mid-market SaaS)
- Large TAM + velocity of learning
PE / Growth Equity
- Durable YoY growth with operating leverage
- Margin expansion & cash conversion
- Repeatable GTM playbooks
- Low churn; pricing power
Common pitfalls
- Zero baselines: rates blow up when starting value is 0-anchor to first non-zero month.
- Seasonality: compare YoY to avoid holiday/quarter bias.
- Vanity spikes: single promos distort simple % change; use compounded per-period rates over a sufficient window.
- Ignoring quality: report growth with retention, CAC payback, and cohort stability.
FAQs
CAGR is the annualized compounded rate across multiple periods. This calculator returns the per-period rate you choose (e.g., monthly if your periods are months).
Yes-Final may be lower than Initial. When solving for rate or periods, both Initial and Final must be positive to use logarithms safely.
Ratios are undefined when the start is zero. Use your first non-zero period as “Initial” to compute a meaningful rate.
Use the horizon your model operates on: MoM for self-serve/consumer, QoQ for enterprise GTM, YoY for investor overviews. Report multiple views when useful.
Long enough to smooth noise, short enough to react. Many teams use 3–6 months for MoM trend and YoY for seasonality-adjusted context.
One-time promos or outages can distort simple % change. Compounded growth over multiple periods, cohort views, and medians reduce distortion.
Arithmetic averaging of monthly % changes can mislead. Compounded rates (this calculator) reflect geometric reality when growth builds on itself.
Yes-normalize to a common frame (e.g., convert to annual CAGR) before comparing. Keep cohort and margin profiles in view too.
For SaaS, a common heuristic is the “Rule of 40” (Growth % + EBITDA % ≥ 40). Also track CAC payback, LTV:CAC, NDR, gross margin, and cash burn multiple.
Report net growth alongside churn/retention. For revenue, Net Dollar Retention (NDR) > 100% indicates expansion offsets churn-very attractive in SaaS.
Most GTM reporting uses discrete compounding (monthly/quarterly). Continuous compounding is uncommon in growth reporting and not required for planning.
Roughly use the “Rule of 70”: doubling periods ≈ 70 ÷ (rate in % per period). Exact: n = ln(2) ÷ ln(1 + r).
Yes, but interpret with caution. For highly volatile or oscillating series, complement with medians, moving averages, and cohort views.