Compound annual growth rate (CAGR)
Definition (what it is)
CAGR is the constant annualized rate of growth that turns a beginning value into an ending value over a specified multi‑year period, assuming reinvestment and annual compounding. It is a descriptive statistic that “smooths” irregular year‑to‑year changes into a single equivalent annual rate. It applies to any positive-valued quantity (for example, revenue, market size, users, production volume, installed capacity).
Formula
- CAGR = (Ending value / Beginning value)^(1 / Years) − 1
- Equivalent growth form: Ending value = Beginning value × (1 + CAGR)^Years
- Continuous-compounding analogue: r_cont = ln(Ending value / Beginning value) / Years; then CAGR = e^(r_cont) − 1
Purpose and key characteristics
- Smoothing of variability: Replaces volatile multi-period changes with an equivalent constant annual rate between two endpoints.
- Time normalization: Annualizes growth, enabling like-for-like comparisons across different time horizons.
- Scale invariance: Independent of units and magnitudes; applicable to counts, physical output, and monetary measures.
- Minimal data requirement: Needs only a start value, an end value, and the elapsed time in years (can be fractional).
- Endpoint sensitivity: Depends only on the beginning and ending values and the period length; ignores intermediate path and volatility.
- Compounding assumption: Assumes reinvestment and annual compounding; does not depict intra-period fluctuations.
Common uses
- Performance reporting and benchmarking for companies, products, markets, and portfolios.
- Market sizing, demand forecasting, and capacity planning.
- Evaluating adoption rates of technologies, platforms, or customer bases.
- Communicating long-term trends to stakeholders and comparing alternatives with different durations.
Examples
- Growth example: A metric rises from 80 to 320 over 4 years. CAGR = (320/80)^(1/4) − 1 = 41.4%.
- Volatility vs. smoothing: Starting at 100, a series falls 20% in year 1 (to 80) and rises 25% in year 2 (back to 100). AAGR (arithmetic average) = (+2.5%), but CAGR over 2 years = (100/100)^(1/2) − 1 = 0%. CAGR correctly reflects no net growth.
Related terms and distinctions
- Geometric mean growth rate: Closely related; with equally spaced annual observations, CAGR equals the geometric mean of (1 + annual returns) minus 1.
- Average annual growth rate (AAGR): The arithmetic mean of period growth rates; ignores compounding and can mislead when volatility is high.
- Annualized return: Often used interchangeably with CAGR when compounding is assumed annually.
- Internal rate of return (IRR/XIRR): An annualized rate based on a full series of dated cash flows; unlike CAGR, IRR uses all interim flows rather than just endpoints.
Practical notes
- Positive values required: CAGR is defined when both beginning and ending values are positive. It is not suitable if values are zero, negative, or cross zero during the period.
- Declines: Ending values below beginning values yield a negative CAGR (a compounded rate of decline).
- Partial years and non-annual data: Use exact elapsed time in years. For monthly data, for example, Annualized CAGR = (Ending/Beginning)^(12/Months) − 1.
- Comparability: State the time horizon explicitly; CAGRs from different durations are not directly comparable without context.
- Real vs. nominal: For monetary values, specify whether figures are inflation-adjusted. Mixing nominal and real values distorts CAGR.
- Small-base effects: Very high CAGRs from tiny starting values may not be indicative of sustainable growth.
- Aggregation: To compare segments, compute overall CAGR from aggregated start and end totals; simple averages of segment CAGRs can mislead.
- Use with other metrics: Pair with volatility measures, interim growth profiles, or scenario analysis; CAGR alone conceals path and risk.
Rules of thumb
- Doubling time at a constant CAGR: Years to double ≈ ln(2) / ln(1 + CAGR). (For small rates, 72/CAGR% is a quick approximation.)
Limitations
CAGR is not a forecast model and does not capture variability, seasonality, inflection points, or constraints (such as capacity limits). It summarizes endpoints under an exponential growth assumption; when growth is logistic, cyclical, or highly irregular, complementary analyses are essential.