AUM Calculator
The formula
What the implied aum tells you
Working the fee schedule backwards: from revenue and tiered basis points, recover the assets that must be producing it — and the blended rate that really describes the book.
Calculation: AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2. Enter your inputs and every substitution is shown below the result.
Reading the result
The blended line is the comparison tool: a 120/75 schedule blending to 84bp beats a flat 100 despite the richer headline.
Rules of thumb: RIA blended 50–120 bps; wealth schedules often 100/85/70/55 tiered
Limitations and best practice
Performance fees, revenue-based billing and flighty institutional money all break the recovery — AUM is not equally valuable per dollar across managers.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Why tier at all?
What is quality of AUM?
Source & methodology
SEC Form ADV economics; standard advisory schedules.
AUM explained: formula, worked example and honest limits
You are here because you need a specific number, and you want to see how it was produced before you rely on it. There are plenty of pages about AUM; almost none of them show the working. This one does: the formula, every input, a fully computed example, and a sensitivity analysis calculated live from this engine’s own defaults.
Like most useful measures, AUM is a summary, and summaries hide as much as they reveal. The companion outputs and the input table are here to reopen what the headline compressed.
The useful way to hold AUM is as a ratio with a story attached: AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2 says how the parts combine, and the $982,459,514 figure above is simply that sentence written in numbers. Everything that follows unpacks one clause of the sentence at a time.
Nothing below is stock text pasted around a number: the worked example computes implied AUM = $982,459,514 from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Fee above breakpoint first, at ≈10.5 % of the headline for a ten-percent error either way in that input. Read the sections in order and you will be able to reproduce every figure by hand.
Every input in AUM, and what it does to the answer
Here is the complete model this tool runs — AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2 — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Annual fee revenue ($) (example value 7,100,000) is a measured number in the unit named by the label; the formula does not convert for you. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
Fee under breakpoint (bps) (example value 113) is a quantity rather than a category — precision here is cheap and worth having. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
Breakpoint assets ($) (example value 51,810,094) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Replace the example with the figure from your own records — the tool recomputes instantly and the printed steps follow your numbers.
Fee above breakpoint (bps) (example value 70) is a measured number in the unit named by the label; the formula does not convert for you. Use the figure exactly as the source document states it, not a rounded memory of it — an omitted line is the classic silent error.
AUM with real numbers, step by step
Abstract formulas are hard to trust, so here is the complete substitution using the default inputs, written the way an examiner would want it. Starting figures: Annual fee revenue ($), Fee under breakpoint (bps), Breakpoint assets ($), Fee above breakpoint (bps). The endpoint of that chain is $982,459,514 of implied AUM, sitting in the “Blended rate 72.3 bps — the tiered schedule reduced to one number” band.
- Tier 1: $51,810,094 × 113bp = $585,454
- Residual $6,514,546 ÷ 70bp → assets above tier 1 = $930,649,420; AUM $982,459,514
Revenue from the first $51,810,094 — $585,454. Read next to the headline, this is the figure that shows the shape of the trade-off.
Revenue from above the breakpoint — $6,514,546. Read next to the headline, this is the figure that shows the shape of the trade-off.
Marginal revenue per new $10M — $70,000. Compare it against the main result of $982,459,514 before drawing conclusions.
Keep this worked example open while you enter your own figures: matching the shape of the substitution is the fastest way to spot a unit or convention mistake.
How far AUM can reasonably move
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Fee above breakpoint setting | Implied AUM |
|---|---|
| 80 % of the example value | $1,215,121,869 |
| 90 % of the example value | $1,085,865,005 |
| example inputs | $982,459,514 |
| 110 % of the example value | $897,855,021 |
| 120 % of the example value | $827,351,277 |
That spread — $827,351,277 at the low end, $1,215,121,869 at the high — is what a careful read of AUM looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Fee above breakpoint alone; the substitution steps will follow your figures exactly.
The levers behind AUM, ranked by effect
Generic advice says “it depends on your inputs”; this section says exactly how much. Each field was perturbed by ±10 % in isolation and the implied AUM recomputed, so the ranking below is measured rather than asserted. It is the fastest honest answer to “what matters most in AUM?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Nudge Fee above breakpoint by ±10 % and AUM lands between $897,855,021 and $1,085,865,005 (sensitivity ≈10.5 %)
- Annual fee revenue +10 % → AUM = $1,083,888,085 · −10 % → $881,030,942 (the implied AUM shifts ≈10.3 %)
- Fee under breakpoint: ten percent up gives $974,095,884, ten percent down gives $990,823,143 — ≈0.9 % of the implied AUM either way
- Breakpoint assets +10 % → AUM = $979,276,894 · −10 % → $985,642,134 (the implied AUM shifts ≈0.3 %)
Fee above breakpoint is the dominant lever here: ten percent either way moves the result by about 10.5 %, from $897,855,021 to $1,085,865,005. Measure that input from a document rather than from memory, and Annual fee revenue is effectively tied with it (≈10.3 % for the same nudge), so verify the pair together. The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.
Reading the result: bands, zones and thresholds
A number on its own is trivia; a number against a range is intelligence. The verdict attached to the default calculation — “Blended rate 72.3 bps — the tiered schedule reduced to one number” — is one band on a ladder your own figure may sit somewhere else on. The sensitivity list shows how far a modest input error moves you along that ladder: for Fee above breakpoint, ±10 % covers $897,855,021 to $1,085,865,005. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Placing this figure in context: calculators of this kind differ less in arithmetic than in what they choose to ignore. This one keeps Annual fee revenue ($) explicit so that the omissions are visible rather than hidden in a preset.
The errors that quietly break an AUM figure
Performance fees, revenue-based billing and flighty institutional money all break the recovery — AUM is not equally valuable per dollar across managers. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Stopping at the first plausible answer. If the result surprises you, the productive question is which input would have to be wrong for the surprise to disappear — then go check that input.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Fee above breakpoint first, everything else second.
Another is comparing across contexts: an AUM computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
Six things to confirm before acting on AUM
- Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Re-verify Fee above breakpoint against a source document — ten percent of error there moves the headline by ≈10.5 %.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
A routine for decision-grade AUM
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — gather before you type. AUM depends on annual fee revenue ($), fee under breakpoint (bps), breakpoint assets ($), fee above breakpoint (bps). Collect them from a source document — a statement, a report, an invoice, a log — rather than from memory, because recalled inputs are the single largest cause of wrong results. Say the answer out loud before you save it; if it sounds wrong, the model did not change, your understanding did.
Step 2 — baseline before exploration. Get one defensible Implied AUM on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. Rounding early is the quietest way to introduce a permanent error.
Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Step 4 — run the scenario trio. Expected, pessimistic, optimistic. The gap between pessimistic and expected is the number to plan against; the optimistic result is useful only as a ceiling. Precision is a promise you make about your data; make sure your inputs can keep it.
Step 5 — schedule the next run. In Business & Entrepreneurship the inputs drift quietly. Put a reminder a quarter out, re-enter the same fields, and read the change rather than the level. The input you reach for first is usually the one you measured longest ago.
From calculation to decision: where AUM earns its keep
Business & Entrepreneurship arguments end at arithmetic or they do not end. AUM is the arithmetic: $982,459,514 on the example inputs, reproducible by anyone who types the same numbers. Suspiciously tidy answers deserve the same scrutiny as untidy ones.
Professionals in Startup Metrics use this style of calculation as a screening filter before spending real money or effort: a quick AUM check eliminates weak options in minutes, and the survivors earn the deeper, slower analysis. A result worth acting on survives having its two shakiest inputs halved.
There is a personal-administration use people overlook: periodic self-checking. AUM quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. Estimates improve most when the worst case is written down in ink.
The questions that come up most about AUM
What affects AUM the most?
Measured on this engine, Fee above breakpoint is the dominant lever: moving it ±10 % shifts the implied AUM across $897,855,021 to $1,085,865,005 — about 10.5 % of the headline, with Annual fee revenue next at ≈10.3 %. The ranked list in the sensitivity section is computed live, not asserted from a template.
Do annual fee revenue and fee above breakpoint matter equally?
On these inputs, yes: the two measured within a rounding error of each other — ≈10.5 % and ≈10.3 % of the implied AUM per ten-percent change. Treat them as one pair to verify together rather than ranking them.
What is a typical AUM?
With the example inputs on this page the result is $982,459,514, labelled “Blended rate 72.3 bps — the tiered schedule reduced to one number”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate AUM by hand?
AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2 is the entire method. Work the inputs in that order — Tier 1: $51,810,094 × 113bp = $585,454 — and you will reach $982,459,514 on the default figures, the same number this tool prints.
What happens to AUM if fee above breakpoint changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is $897,855,021 to $1,085,865,005 across the ten-percent probe, i.e. ≈10.5 % sensitivity on the implied AUM.
Is the AUM result of $982,459,514 good or bad?
Good and bad are comparisons, so the honest test is three questions: where does your own AUM sit against the $982,459,514 reference above, how far would a plausible input error move it (≈10.5 % per ten percent on Fee above breakpoint), and what does the alternative option compute to?
Should I use AUM before launching?
Yes — an AUM run on honest inputs before spending is the cheapest consulting an entrepreneur can buy. Re-run at every pricing change; the number moves more often than founders expect.
What affects AUM the most?
Sensitivity depends on where you start, but the inputs Annual fee revenue ($) and Fee under breakpoint (bps) typically move AUM further than the rest because they enter the formula multiplicatively. If you can only measure two things well, measure those and hold the others at conservative defaults.
Why tier at all?
Scale economics are the client's argument for large managers; tiers are price concessions to size.
What is quality of AUM?
Sticky assets (401k, insurance) survive drawdowns; hot money leaves at the first bad year — revenue-per-dollar is the business test.
Is my data private on this page?
Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.
Glossary for AUM
- Revenue from the first $51,810,094
- $585,454 on the example inputs — a companion figure printed beside the headline of AUM so that no result is read in isolation.
- Revenue from above the breakpoint
- $6,514,546 on the example inputs — a companion figure printed beside the headline of AUM so that no result is read in isolation.
- Marginal revenue per new $10M
- $70,000 in the default AUM calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Implied AUM
- The primary output of this tool: $982,459,514 for the default inputs, computed exactly from AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2.
- Worked example
- The calculation written out in full so that nothing on this page has to be taken on trust.
- Verdict band
- The plain-language label — here “Blended rate 72.3 bps — the tiered schedule reduced to one number” — mapping the computed figure onto experience-based ranges for Business & Entrepreneurship.
- Sensitivity (±10 %)
- How far the AUM moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
The provenance of this AUM calculation
Everything above runs on one stated formula, applied without hidden coefficients: AUM recovered from the tiered schedule: revenue = breakpoint × tier1 + (AUM − breakpoint) × tier2. Source of record: SEC Form ADV economics; standard advisory schedules. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.
This page is an estimation aid, not professional advice. The design rule is simple: two people entering identical figures must get identical answers. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
What to do with your AUM next
Save the number together with its inputs and today’s date; an AUM figure without context is unusable the moment an input changes.
This page was written for people who need one trustworthy number before their next decision, and the promise is that nothing above required trust. Bookmark the tool, re-run it whenever an input moves by more than a few percent, and keep the date with the number.