Average return vs annualized return
The average return adds up each year's return and divides by the number of years. The annualized (compounded) return is the steady yearly rate that gets you from your starting balance to your ending one, and it is what your money actually did. Whenever returns go up and down, the average is higher: the S&P 500 averaged 11.86% a year from 1928 to 2025 but compounded at 10.02%.
Updated October 20, 2026 · 8 min read · Plain math, no product pitches
On this page
Average return vs annualized return: what is the difference?
The average return (also called the arithmetic mean) adds up each year’s return and divides by the number of years. The annualized return (also called the geometric mean, or the compound annual growth rate) is the single steady rate that would have turned your starting money into your ending money. Only the second one tells you what your money did.
The clearest way to see it is an extreme example.
The 50% loss came out of a bigger balance than the 50% gain went into. Losses and gains of the same size do not cancel, so whenever returns go up and down, a simple average flatters the result.
The two numbers go by several names, which is half the confusion:
- Simple average: arithmetic mean, mean return, average yearly return.
- Annualized return: geometric mean, compound annual growth rate (CAGR), compounded return, and in US fund documents, average annual total return.
How to calculate average and annualized return
- r₁ … rₙ
- each year's return, as a decimal (8% = 0.08)
- n
- number of years
If you know only the starting and ending balance, the annualized return is (end ÷ start)1/n − 1, which is the same number. The rate of return guide covers that version.
Average vs annualized return calculator
Type yearly returns in order, or pick an example. The last two buttons load the S&P 500’s actual yearly returns for 2016–2025 and for 2000–2009.
Average vs annualized return calculator
Simple average, compounded (annualized) return, and what the money actually became.
Try an example
Average (arithmetic)
0.00%
Add up, divide by years
Annualized (geometric)
-13.40%
What the money did
Gap
13.40 pts
Volatility drag
After 2 years
$7,500
not $10,000
The average says 0.0% a year, which would have turned $10,000 into $10,000. What actually happened is $7,500, the same as earning a steady -13.40% every year.
Why the annualized return is lower: volatility drag
The gap between the two numbers is called volatility drag: the cost of returns bouncing around instead of arriving smoothly. The bigger the swings, the bigger the drag.
You can see it with matched pairs of years. A 10% gain and a 10% loss leave you with 1.10 × 0.90 = 0.99 of your money, down 1%. A 20% gain and a 20% loss leave 1.20 × 0.80 = 0.96, down 4%. A 50% gain and a 50% loss leave 0.75, down 25%. The average of each pair is 0%, and the loss grows with the size of the swing. Mathematicians call the general version the AM–GM inequality: the geometric mean of positive numbers is never above their arithmetic mean, and the two are equal only when all the numbers are the same.
A good rule of thumb links the size of the swings to the size of the gap:
- G
- annualized (geometric) return
- A
- average (arithmetic) return
- σ
- standard deviation of the yearly returns, a measure of how much they swing
Here is how much drag different amounts of swing cost, starting from a 10% average:
| Standard deviation | Drag (σ² ÷ 2) | Annualized return, roughly |
|---|---|---|
| 5% (a very steady ride) | 0.13 points | 9.88% |
| 10% (a steady ride) | 0.50 points | 9.50% |
| 15% (a stock-like ride) | 1.13 points | 8.88% |
| 20% (a stock-like ride) | 2.00 points | 8.00% |
| 30% (a wild ride) | 4.50 points | 5.50% |
| 40% (a wild ride) | 8.00 points | 2.00% |
The shortcut is less exact for very large swings. For +50%/−50% it predicts −12.5% against the true −13.40%. For everyday stock returns it is close.
What is the average stock market return? It depends which average
The S&P 500, a stock index of 500 large US companies, is the usual stand-in for “the stock market.” Its average return depends on which average you take, over which years, and whether dividends and inflation are counted. Here are both averages over the longest stretch of good data.
Over the 98 years from 1928 to 2025, the S&P 500’s yearly returns, dividends included, had a simple average of 11.86%. The rate the money actually compounded at was 10.02%. 26 of those years lost money.
S&P 500 total return, every year 1928–2025
Dividends included, before inflation, fees and taxes.
That 1.84-point gap looks small, but compounding blows it up. $10,000 invested at the start of 1928 grew to about $116 million by the end of 2025. Growing at the simple average every year would have produced about $587 million: about 5 times as much, all of it money that never existed. Over a plain 30 years, $10,000 at 11.86% becomes about $288,000; at 10.02%, about $175,000.
The same mistake hits savers who add money every month. Someone putting in $500 a month for 30 years who plugs the 11.86% average into a compound interest calculator is told to expect about $1,692,000. At the 10.02% the market actually compounded at, the same deposits come to about $1,135,000. That is a $558,000 difference, made up entirely by using the wrong kind of average. (Both figures are before inflation, fees and taxes, and neither is a forecast.)
The gap and the returns themselves depend heavily on which years you pick:
| Years | Simple average | Compounded | Gap | Std. deviation | Estimate (A − σ²/2) |
|---|---|---|---|---|---|
| 1928–2025 | 11.86% | 10.02% | 1.84 | 19.30% | 9.99% |
| 1966–2025 | 11.80% | 10.44% | 1.36 | 16.59% | 10.43% |
| 1996–2025 | 11.80% | 10.26% | 1.54 | 17.29% | 10.30% |
| 2006–2025 | 12.39% | 10.90% | 1.49 | 16.70% | 11.00% |
| 2016–2025 | 15.75% | 14.68% | 1.07 | 14.80% | 14.66% |
| 2000–2009 | 1.16% | −0.95% | 2.11 | 19.79% | −0.80% |
Look at 2000–2009: the average was a positive 1.16%, yet $10,000 shrank to $9,086, a compounded −0.95% a year. Anyone told that the market “averaged a gain” over that decade still lost money. Returns vary a lot, and the future can be worse than any of these windows.
Averaging returns in Excel and Google Sheets
Put the yearly returns in B2:B11 as percentages. Then:
- Average:
=AVERAGE(B2:B11). For 2016–2025 that returns 15.75%. - Annualized: add a helper column C with
=1+B2copied down, then=GEOMEAN(C2:C11)-1. That returns 14.68%. - The same without GEOMEAN:
=PRODUCT(C2:C11)^(1/10)-1. The product, 3.9354, is also the growth multiple: $1 became about $3.94. - Volatility:
=STDEV.P(B2:B11)returns 14.80%, the σ in the shortcut above.
If you only have a starting and ending balance, skip all of this and use =RRI(years, start, end).
Does the order of returns matter?
Not for a lump sum you leave alone. $10,000 that goes −50% then +50% ends at $7,500, exactly like +50% then −50%; multiplication does not care about order.
It matters a great deal once money moves in or out. A bad year right after you add a lot of money, or right after you start withdrawing in retirement, hurts more than the same bad year at another time. That is why your own return can differ from your fund’s even when you own the same thing.
Your return when you keep adding money →Time-weighted vs money-weighted returns, and how to calculate yours with XIRR.Why you often see the bigger number
Because the simple average is always at least as high as the compounded return, and the word “average” does not say which one you are looking at.
Some numbers are pinned down. In a US mutual fund prospectus, the “average annual total return” for 1, 5 and 10 years is calculated as a compounded rate, from a hypothetical $1,000 held through the whole period with distributions reinvested, using P(1 + T)n = ERV (SEC Form N-1A, Item 26). That is the annualized return.
Plenty of other numbers are not bound by that formula: a sales presentation, a newsletter, a retirement-income pitch or a claim that “the market averages 12%.” A figure near 12% is the simple average of yearly S&P 500 returns; the compounded figure is about 10%, before inflation, fees and taxes. Other ways a number gets bigger:
- Picking the window. 2016–2025 compounded at 14.68%; 2000–2009 at −0.95%. Same index.
- Leaving out fees. Index returns have no fees; a real account does.
- Annualizing a short hot streak. A few good months, stretched to a yearly rate, looks spectacular.
Common mistakes when averaging returns
- Adding yearly returns and dividing. It gives the arithmetic average, which overstates growth whenever returns vary. For anything that compounds, multiply the growth factors instead.
- Comparing a simple average with a compounded one. A fund quoting its compounded return will look worse than a pitch quoting a simple average, even if the fund did better. Put both on the same basis first.
- Averaging the returns of different-sized holdings. A 12% return on $6,000 and a 4% return on $3,000 do not average to 8%. Weight each return by the money in it.
- Mixing before-inflation and after-inflation figures. The S&P 500 numbers here are before inflation. Set one against an after-inflation (real) figure and the before-inflation one looks several points better than it is.
- Annualizing a short stretch. One great quarter turned into a yearly rate is not a track record.
- Using either average when you added money. Both the simple and the compounded average describe one lump sum. With regular deposits, your own result depends on timing, which needs a money-weighted return.
Which return should you use for planning?
Use the annualized (compounded) return, and a cautious one. Any time you project a balance forward several years, the money compounds, so the compounding rate is the right one. Plugging a simple average into a compound interest calculator overstates the result, as the examples above show.
The simple average has one fair use: as a guess at a single typical year. It is never the rate your money grows at over many years.
For a stock-heavy portfolio, Bill Router uses 7% a year before inflation, or about 4% after 3% inflation, as a cautious planning figure. That is below the S&P 500’s historical compounded 10.02% on purpose: it leaves room for fees, for a mix that isn’t all stocks, and for a future that may be worse than the past. It is not a promise. You can test your own plan at that rate in the Freedom calculator.
What rate of return should you expect? →Planning figures, good and bad decades, and how much a few points change the outcome.Questions people ask
Is average annual return the same as annualized return?
Not always. Annualized return always means the compounded yearly rate. Average annual return can mean either the compounded rate or a simple average of yearly returns, depending on who wrote it, so check which one before you compare two numbers.
Is CAGR the same as the geometric mean return?
Yes, for a single investment with no money added or taken out. Both are the one steady yearly rate that turns the starting value into the ending value.
What is the average stock market return?
From 1928 to 2025, the S&P 500 with dividends had a simple average of 11.86% a year and compounded at 10.02% a year, before inflation, fees and taxes. Individual years ranged from a 43.84% loss to a 52.56% gain, so any one decade can look very different.
Why is the arithmetic mean always higher than the geometric mean?
A loss shrinks the balance, so the next gain has less money to work on. The two are equal only when every year's return is the same; the more the returns swing, the bigger the gap.
How do you average percentage returns over several years?
Do not add them and divide. Turn each return into a growth factor (8% becomes 1.08), multiply them together, take the nth root for n years, and subtract 1. That gives the compounded yearly rate.
When should you use the arithmetic average return?
As an estimate of a single typical year, or for statistics that need it. For anything that compounds over several years, such as projecting a balance or comparing track records, use the geometric (annualized) return.
How do you convert an average return into an annualized return?
Roughly, subtract half the variance: annualized ≈ average − (standard deviation²) ÷ 2. With an 11.86% average and a 19.30% standard deviation, that gives about 9.99%, close to the S&P 500's actual 10.02%.
Does a 50% loss need a 100% gain to recover?
Yes. $10,000 that falls 50% is $5,000, and $5,000 has to double to get back to $10,000. That is why +50% followed by −50% leaves you with $7,500, not where you started.