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Investment calculator

Investment Fee Calculator

Compare how two annual investment fees can change the long-term value of the same portfolio plan. The model uses transparent constant-return assumptions, not historical market data.

Plan A
Plan B
Difference
Projected fee impact

Portfolio value 30-year fee comparison
No-fee benchmark Plan A Plan B
Start 15 years 30 years
Total contributed
No-fee benchmark
Plan A ending-value drag vs 0% fee
Plan B ending-value drag vs 0% fee
How this projection works

The same starting investment, monthly contribution and gross annual return are used for both plans. Each annual fee reduces the annual growth factor before it is converted to an equivalent monthly factor. Monthly contributions are added at the start of each modeled month.

The no-fee benchmark is a mathematical reference using the same assumptions with a 0% annual fee. “Ending-value drag” is the shortfall versus that benchmark; it combines fees and the compounding those deducted amounts no longer receive, so it is not the same as a statement of fees directly paid.

Why fees compound

A small annual percentage can create a much larger long-term difference.

Investment fees reduce the amount of the portfolio that remains available to compound. The long-term cost therefore includes both the fee effect itself and the future growth that the deducted amount can no longer earn.

Net annual growth factor (1 + gross return) × (1 − annual fee)
Monthly growth factor net annual factor^(1/12)
Contribution timing Monthly contribution added at the start of each modeled month
No-fee benchmark Same plan and return assumption with annual fee = 0%

How to use it

Compare like with like.

Keep the investment amount, contribution schedule, return assumption and horizon identical. Change only the annual fee to isolate the modelled effect of cost.

This can be useful when comparing two funds, model portfolios or platforms whose annual percentage costs differ, as long as you remember that real products can also differ in holdings, tracking, taxes, transaction costs and performance.

Interpreting fee drag

“Fee drag” is not the same as fees directly paid.

Finance Charts defines ending-value drag as the difference between a fee-bearing projection and the same projection with a 0% annual fee. Because the lower balance also earns less growth later, that difference includes lost compounding as well as the effect of the annual fee.

Frequently asked questions

Investment fees: common questions

Does this calculator calculate an ETF expense ratio?

It accepts an annual percentage fee such as an expense ratio or comparable ongoing annual cost. It does not read a live fund fee or product document for you.

Does a 1% fee simply reduce a 7% return to 6%?

This model combines the gross annual return factor with the annual fee factor multiplicatively: (1 + return) × (1 − fee). That is then converted to an equivalent monthly growth factor.

Are taxes and trading costs included?

No. Taxes, bid-ask spreads, commissions and other costs are not included unless they are represented by the annual fee input itself.

Why is the long-term difference larger than the percentage-point fee gap?

Because money removed by ongoing costs is no longer present to compound in later periods. Over long horizons, that lost growth can become material.

Can I share a scenario?

Yes. The calculator stores the current assumptions in the URL so the Copy share link button can reopen the same scenario.

Related guide

What does an expense ratio actually cost over time?

Read the Finance Charts explanation of expense ratios, ending-value drag and the long-term difference between 0.20% and 1.00% annual fees.

Read the expense ratio guide

Related guide

What return assumption should you use?

Learn how to treat expected return as a scenario input, distinguish gross from net and nominal from real returns, and test more than one assumption before interpreting a projection.

Read the expected return guide

Methodology

See the assumptions behind Finance Charts.

Read how projections, fees, currencies and future historical-data features are treated across the site.

Read methodology