Compound annual growth rate

Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period.^[1]^[2] CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.^[3]

CAGR is equivalent to the more generic exponential growth rate when the exponential growth interval is one year.

Formula

\mathrm{CAGR}(t_0,t_n) = \left( {V(t_n)/V(t_0)} \right)^\frac{1}{t_n-t_0} - 1

$V(t_0)$ : start value, $V(t_n)$ : finish value, $t_n - t_0$ : number of years.
Actual or normalized values may be used for calculation as long as they retain the same mathematical proportion.

Example

In this example, we will compute the CAGR over three periods. Presume that the year-end revenues of a business for four years, V(t) in above formula, have been:

Year-End	12/31/2004	12/31/2007
Year-End Revenue	9,000	13,000

{t_n-t_0}

= 2007 - 2004 = 3

Therefore, to calculate the CAGR of the revenues over the three-year period spanning the "end" of 2004 to the "end" of 2007 is:

{\rm CAGR}(0,3) = \left( \frac{13000}{9000} \right)^\frac{1}{3} - 1 = 0.13 = 13\%

- it's a smoothed growth rate per year. This rate of growth would take you to the ending value, from the starting value, in the number of years given, if growth had been at the same rate every year. (In reality, growth is seldom constant.)

Verification:

Multiply the initial value (2004 year-end revenue) by (1 + CAGR) three times (because we calculated for 3 years). The product will equal the year-end revenue for 2007. This shows the compound growth rate:

V(t_n) = V(t_0) \times (1 + {\rm CAGR})^n

For n = 3:

= V(t_0) \times (1 + {\rm CAGR}) \times (1 + {\rm CAGR}) \times (1 + {\rm CAGR})

= 9000 \times 1.1304 \times 1.1304 \times 1.1304 = 13000

For comparison:

the Arithmetic Mean Return (AMR) would be the sum of annual revenue changes (compared with the previous year) divided by number of years, or:

{\text{AMR}}={\bar {x}}={\frac {1}{n}}\sum _{i=1}^{n}x_{i}={\frac {1}{n}}(x_{1}+\cdots +x_{n})={\frac {11.11\%+10\%+8.33\%}{3}}=9.81\%.

In contrast to CAGR, you cannot obtain $V(t_n)$ by multiplying the initial value, $V(t_0)$ , three times by (1 + AMR) (unless all annual growth rates are the same).

the Arithmetic Return (AR) or simple return would be the ending value minus beginning value divided by the beginning value:

\text{AR} = \frac{V_f - V_i}{V_i} = \frac{13000-9000}{9000} = 44.44\%.

Applications

These are some of the common CAGR applications:

Calculating and communicating the average returns of investment funds^[4]
Demonstrating and comparing the performance of investment advisors^[4]
Comparing the historical returns of stocks with bonds or with a savings account^[4]
Forecasting future values based on the CAGR of a data series (you find future values by multiplying the last datum of the series by (1 + CAGR) as many times as years required). As every forecasting method, this method has a calculation error associated.
Analyzing and communicating the behavior, over a series of years, of different business measures such as sales, market share, costs, customer satisfaction, and performance.

References

↑ Mark J. P. Anson; Frank J. Fabozzi; Frank J. Jones (3 December 2010). The Handbook of Traditional and Alternative Investment Vehicles: Investment Characteristics and Strategies. John Wiley & Sons. pp. 489–. ISBN 978-1-118-00869-0.
↑ root. "Compound Annual Growth Rate (CAGR) Definition | Investopedia". Investopedia. Retrieved 2016-03-04.
↑ Emily Chan (27 November 2012). Harvard Business School Confidential: Secrets of Success. John Wiley & Sons. pp. 185–. ISBN 978-1-118-58344-9.
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Compound annual growth rate

Formula

Example

Applications

See also

References