Hurdle Rate Calculator
The formula
What the hurdle rate tells you
Venture pricing logic compressed: a 20% target over eight years needs ~4.3×, and at a 25% hit rate the winners must average ~17×. Every term sheet sits downstream of this arithmetic.
Calculation: Required MOIC = (1 + IRR)^t; winner requirement = MOIC ÷ hit rate. Enter your inputs and every substitution is shown below the result.
Reading the result
If current exit multiples cannot produce that math at your entry prices, no growth story rescues the round.
Rules of thumb: Early-stage ~4× MOIC target; growth equity 2–2.5×
Limitations and best practice
The hurdle is a requirement, not a forecast — confusing the two is how both GPs and LPs get disappointed.
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 20–25% hurdles?
Do hurdles differ by stage?
Source & methodology
Sahlman (1997) venture method; NBIA conventions.
Hurdle Rate: what this tool answers
This page was written for one job: turning your own inputs into a defensible figure, with the working shown. There are plenty of pages about Hurdle Rate; 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.
A calculation like this one is worth roughly as much as a careful sentence: it forces several vague considerations into one comparable quantity. Once Hurdle Rate is on the table, the argument can stop being about impressions.
In Business & Entrepreneurship the same quantity is often quoted under two or three different conventions. The formula printed above fixes one convention and applies it consistently, which is what makes results from this page comparable with each other.
Every figure in the prose is generated by the engine rather than written beside it — the worked example resolves to MOIC needed to clear the hurdle = 3.46 × on the default inputs, and the sensitivity section ranks the inputs that move the result — Fund life first, at ≈13.2 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
The Hurdle Rate formula, explained
One formula, published in full: Required MOIC = (1 + IRR)^t; winner requirement = MOIC ÷ hit rate. Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
LP target IRR (%) (example value 23) is a measured number in the unit named by the label; the formula does not convert for you. Enter it exactly as your document states it — quoted annual, monthly and effective rates are three different numbers.
Fund life (years) (example value 6) is a measured number in the unit named by the label; the formula does not convert for you. Be precise about the boundary (exact date, start of month); time inputs decide the exponent in most formulas.
Probability of hitting target (%) (example value 25) is a quantity rather than a category — precision here is cheap and worth having. Enter it exactly as your document states it — quoted annual, monthly and effective rates are three different numbers.
Hurdle Rate on the example inputs: the complete substitution
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: LP target IRR (%), Fund life (years), Probability of hitting target (%). The endpoint of that chain is 3.46 × of MOIC needed to clear the hurdle, sitting in the “At a 25% hit rate, winners must average ~13.9× to carry the losers” band.
- MOIC = (1 + 23%)^6 = 3.46×
- Probability-adjusted: 3.46 ÷ 0.25 ≈ 13.9× on the winners
Required MOIC over 6 years — 3.46 ×. This is the number experienced users quote when the headline alone would mislead.
Annual rate winners need if the rest return zero — 55.0 %. Compare it against the main result of 3.46 × before drawing conclusions.
Per-$1 today that must come back — 3.46 $. This is the number experienced users quote when the headline alone would mislead.
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.
Scenario table: Hurdle Rate at ±10 % and ±20 % of the key input
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of Hurdle Rate, not an interpolation.
| Fund life setting | MOIC needed to clear the hurdle |
|---|---|
| 80 % of the example value | 2.70 × |
| 90 % of the example value | 3.06 × |
| example inputs | 3.46 × |
| 110 % of the example value | 3.92 × |
| 120 % of the example value | 4.44 × |
The corridor runs from 2.70 × to 4.44 × across that band — which is the range worth planning inside rather than the single 3.46 × point estimate. Reproduce it in the form above by editing Fund life alone; the substitution steps will follow your figures exactly.
Where Hurdle Rate is fragile — and where it is not
Generic advice says “it depends on your inputs”; this section says exactly how much. Each field was perturbed by ±10 % in isolation and the MOIC needed to clear the hurdle recomputed, so the ranking below is measured rather than asserted. For Hurdle Rate the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Fund life: ten percent up gives 3.92 ×, ten percent down gives 3.06 × — ≈13.2 % of the MOIC needed to clear the hurdle either way
- Nudge LP target IRR by ±10 % and Hurdle Rate lands between 3.09 × and 3.87 × (sensitivity ≈11.8 %)
Fund life is the dominant lever here: ten percent either way moves the result by about 13.2 %, from 3.06 × to 3.92 ×. That is where a careless figure does the most damage, so check it against a source, and treat LP target IRR as the second priority (≈11.8 % per ten percent). Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
Reading the result: bands, zones and thresholds
The value above only becomes useful the moment you know what it is being measured against. The verdict attached to the default calculation — “At a 25% hit rate, winners must average ~13.9× to carry the losers” — 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 Fund life, ±10 % covers 3.06 × to 3.92 ×. 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.
The comparison worth making is not with somebody else’s Hurdle Rate but with the version of your own situation measured last quarter — same formula, same conventions, different inputs.
The errors that quietly break a Hurdle Rate figure
The hurdle is a requirement, not a forecast — confusing the two is how both GPs and LPs get disappointed. 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.
This model has its own particular trap: Fund life carries ≈13.2 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
A final trap is presentation: reporting Hurdle Rate to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Hurdle Rate verification checklist
- Verify each input against its original source document, not memory.
- Note the date and the inputs beside the number so the figure can be audited later.
- Re-verify Fund life against a source document — ten percent of error there moves the headline by ≈13.2 %.
- Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
How to use the Hurdle Rate tool properly
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 — one document, one pass. Open the statement, label or record that holds lp target irr (%), fund life (years), probability of hitting target (%) and transcribe straight into the form. Transcription from a single source removes the mismatch errors that appear when figures are assembled from three different places. Rounding early is the quietest way to introduce a permanent error.
Step 2 — enter the conservative case first. Resist the flattering scenario. Type the inputs you would defend in front of a sceptical reader, read the MOIC needed to clear the hurdle (3.46 × for the example values), and note the verdict band. The inputs are the part of the work that nobody else can do for you.
Step 3 — play with the inputs on purpose. Ten percent up, ten percent down, one field at a time. Within a few minutes you will know this calculation better than most people who quote its results. Estimates improve most when the worst case is written down in ink.
Step 4 — compute a corridor, not a point. Three runs — worst, likely, best — turn Hurdle Rate from a snapshot into a range. Plan against the pessimistic end and treat the optimistic end as the upside story. Note the assumption you are least sure about; that is where the real risk lives.
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. Numbers are cheap to produce and expensive to retract; the extra minute is the cheapest insurance available.
Where Hurdle Rate matters in practice
Numbers earn their keep in conversations, and Hurdle Rate is no exception. In Business & Entrepreneurship discussions around Startup Metrics, this figure decides whether an option stays on the table: it converts an opinionated debate into an arithmetic one, and arithmetic is the only referee both sides accept. Compare the calculation to the rough guess you arrived with, and ask why they differ.
Used properly this is a five-minute filter that saves weeks. Compute Hurdle Rate, reject what fails, and only then bring in the expensive analysis for the survivors. Most surprises in numbers are surprises about inputs, not about formulas.
Re-running this page costs nothing and catches the slow drifts that never announce themselves. In Business & Entrepreneurship the expensive mistakes are rarely sudden; they are small changes in LP target IRR (%) that nobody recalculated for a year. Repeating a calculation with the same numbers proves only that the arithmetic is reliable — which is worth knowing.
The questions that come up most about Hurdle Rate
What affects Hurdle Rate the most?
The short answer: Fund life. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the MOIC needed to clear the hurdle recalculated — Fund life moved it furthest, by roughly 13.2 % (3.06 × to 3.92 ×).
Which matters more: lp target irr or fund life?
Fund life, by a factor of about 1.1. Concretely: ten percent on Fund life is worth ≈13.2 % of Hurdle Rate, the same nudge on LP target IRR only ≈11.8 %. That ranking is re-computed for each page from that page’s own defaults.
What is a typical Hurdle Rate?
On the worked example above Hurdle Rate comes out at 3.46 ×. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Hurdle Rate by hand?
Three steps: write the formula (Required MOIC = (1 + IRR)^t; winner requirement = MOIC ÷ hit rate), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about Hurdle Rate than any number of calculator runs.
What happens to Hurdle Rate if fund life changes by 10 %?
On these inputs a ±10 % change in fund life takes Hurdle Rate to 3.92 × against the 3.46 × example — around 13.2 % of the headline. The same test on every other field is in the sensitivity section.
Is the Hurdle Rate result of 3.46 × good or bad?
Good and bad are comparisons, so the honest test is three questions: where does your own Hurdle Rate sit against the 3.46 × reference above, how far would a plausible input error move it (≈13.2 % per ten percent on Fund life), and what does the alternative option compute to?
What affects Hurdle Rate the most?
Sensitivity depends on where you start, but the inputs LP target IRR (%) and Fund life (years) typically move Hurdle Rate 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.
Should I use Hurdle Rate before launching?
Yes — a Hurdle Rate 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.
Why 20–25% hurdles?
Compensation for illiquidity, concentration and selection variance against a ~10% public baseline.
Do hurdles differ by stage?
Yes — early stage demands the most; growth and later-stage funds target 12–18%.
Can this tool see the numbers I type?
It cannot. There is no submission step: the calculation happens in your browser and the result disappears when you close the page. Treat the fields above as a scratchpad rather than a form.
Glossary for Hurdle Rate
- Required MOIC over 6 years
- 3.46 × on the example inputs — a companion figure printed beside the headline of Hurdle Rate so that no result is read in isolation.
- Annual rate winners need if the rest return zero
- 55.0 % in the default Hurdle Rate calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Per-$1 today that must come back
- 3.46 $ on the example inputs — a companion figure printed beside the headline of Hurdle Rate so that no result is read in isolation.
- MOIC needed to clear the hurdle
- The primary output of this tool: 3.46 × for the default inputs, computed exactly from Required MOIC = (1 + IRR)^t; winner requirement = MOIC ÷ hit rate.
- Worked example
- Every substitution in order, from the example inputs to 3.46 × — the audit trail for the headline figure.
- Verdict band
- The plain-language label — here “At a 25% hit rate, winners must average ~13.9× to carry the losers” — mapping the computed figure onto experience-based ranges for Business & Entrepreneurship.
- Sensitivity (±10 %)
- How far the Hurdle Rate moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Methodology, sources and limits
There is no black box on this page — the engine evaluates Required MOIC = (1 + IRR)^t; winner requirement = MOIC ÷ hit rate. Source of record: Sahlman (1997) venture method; NBIA conventions. 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.
Nothing here replaces a qualified professional, and nothing here is approximate either — the arithmetic is exact, and the honesty is in the inputs you supply. The promise to the reader is narrow and testable: same inputs, same output, no silent rounding, and no figure presented without the formula that produced it.
Turning this Hurdle Rate into a decision
Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.
The audience here is people who need one trustworthy number before their next decision. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.