Average return, in short
There are two ways to average a set of investment returns, and they usually give different answers. Arithmetic mean just adds up the yearly returns and divides by the count. Geometric mean — the basis for CAGR — compounds them the way your money actually compounded, and it's always equal to or lower than the arithmetic mean whenever returns vary from year to year. The more volatile the ride, the bigger that gap gets.
Key takeaways
- $10,000 growing to $25,000 over 10 years has a CAGR of 9.6% — the single constant annual rate that gets you there.
- Feed in actual annual returns of 12%, -5%, 18%, 8%, and 15%: the arithmetic mean is 9.6%, but the geometric mean — what your money really did — is 9.29%, for 55.94% total growth.
- A +50% year followed by a -50% year averages to 0% arithmetically, but $10,000 actually ends up at $7,500 — a real 25% loss. That gap is volatility drag.
- Standard deviation on the 12/-5/18/8/15 example is about 8.96 percentage points — a way to see the bumpiness behind the average, not just the average itself.
Arithmetic mean vs. geometric mean: two different questions
Arithmetic mean answers "what was the average yearly return?" — a useful number for statistics, but not one that tells you what happened to a dollar invested the whole time. Geometric mean answers "what constant annual rate would have produced this same total growth?" — which is exactly what you want when judging actual investment performance. They're equal only when every period returns exactly the same amount; the moment returns vary, geometric mean falls below arithmetic mean, and it never goes the other way.
How CAGR turns a start and end value into one number
CAGR only needs three things: where you started, where you ended up, and how long it took.
CAGR = (Ending Value ÷ Beginning Value)^(1/Years) − 1
= ($25,000 ÷ $10,000)^(1/10) − 1 ≈ 9.6%
That 9.6% doesn't mean any single year actually returned 9.6% — it's the smoothed-out rate that, compounded for 10 straight years, turns $10,000 into exactly $25,000. It's the right number for comparing two investments' overall growth, even if their year-to-year paths looked completely different.
Why volatility drags your real return below the average
Take the starkest case: a portfolio gains 50% one year, then loses 50% the next. Arithmetic mean says the two years average out to 0%. But $10,000 that grows to $15,000 and then falls 50% lands at $7,500 — a real 25% loss, not a wash. Losses and gains aren't symmetric once you're compounding: a 50% loss needs a 100% gain just to get back to even.
The same effect shows up, just more gently, on the calculator's default annual-returns example — 12%, -5%, 18%, 8%, 15%. The arithmetic mean is 9.6%, but the geometric mean is 9.29%, and total growth over the five years is 55.94%, not the 48% you'd get from naively multiplying the arithmetic mean by five years.
Reading the risk metrics
Standard deviation measures how far individual years typically stray from the average — about 8.96 percentage points on the 12/-5/18/8/15 example, meaning a fairly wide spread around that 9.6% mean. Best year, worst year, and the count of positive years fill in the picture further: two portfolios can share the same CAGR while one had a much rockier ride to get there, and standard deviation is what surfaces that difference. The benchmark comparison against typical S&P 500 and bond returns gives a quick sense of whether your number is in a reasonable range for the level of risk involved.
Related calculators
To project future growth at an assumed rate rather than measure past performance, see the compound interest calculator or the investment calculator. For cash flows that aren't just a single start and end value — like contributions added over time — the IRR calculator handles the more general case.