Priced Round Impact Calculator
The formula
What the priced round impact tells you
One round's full ownership shift: the new-money shares plus any pool expansion priced at the same valuation, so founders see the total movement, not the headline percentage.
Calculation: Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares. Enter your inputs and every substitution is shown below the result.
Reading the result
The gap between investor ownership and founder points lost is the pool add — price it explicitly in the term sheet.
Rules of thumb: Series A dilution 15–25%; seed rounds 10–20%
Limitations and best practice
Founder secondaries (shares sold by holders) move the other side of the table — model them separately from new equity.
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 does the round dilute more than the investor stake?
Do convertibles add to this?
What dilution is normal at Series A?
Source & methodology
Standard term-sheet arithmetic.
Priced Round Impact: the number, the method and the caveats
Budgets fail on the numbers nobody wrote down — this tool forces every one of them into the open. Searchers land on a Priced Round Impact page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
People rarely disagree about arithmetic; they disagree about assumptions that were never written down. Printing the substitution and the sensitivity ranking removes that category of disagreement for Priced Round Impact.
The useful way to hold Priced Round Impact is as a ratio with a story attached: Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares says how the parts combine, and the 18.2 % 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 new investor ownership = 18.2 % from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Pre-money first, at ≈8.9 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
Inside the Priced Round Impact calculation: formula and every input
Here is the complete model this tool runs — Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares — 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.
Pre-money ($) (example value 15,319,107) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
New money ($) (example value 3,782,728) is a measured number in the unit named by the label; the formula does not convert for you. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Pool shares added pre-round (example value 1,008,853) is a quantity rather than a category — precision here is cheap and worth having. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Founder+prior shares pre (example value 9,348,696) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Priced Round Impact 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: Pre-money ($), New money ($), Pool shares added pre-round, Founder+prior shares pre. Run to the end, the new investor ownership resolves to 18.2 % — Founders diluted to 73.8% — the pool add cost them 6.4 extra points on the bands this tool uses.
- Price/share = $15,319,107 ÷ 9,348,696 = $1.64; new money buys 2,308,462 shares
- Totals: 12,666,011 shares → investor 18.2%, founders 73.8%
Post-money — $19,101,835. If your inputs change, this is usually the first companion figure to move.
Founders after round — 73.8 %. Read next to the headline, this is the figure that shows the shape of the trade-off.
Added pool share — 8.0 %. If your inputs change, this is usually the first companion figure to move.
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.
The Priced Round Impact corridor: your result across a realistic band
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 Priced Round Impact, not an interpolation.
| Pre-money setting | New investor ownership |
|---|---|
| 80 % of the example value | 21.8 % |
| 90 % of the example value | 19.8 % |
| example inputs | 18.2 % |
| 110 % of the example value | 16.8 % |
| 120 % of the example value | 15.7 % |
The corridor runs from 15.7 % to 21.8 % across that band — which is the range worth planning inside rather than the single 18.2 % point estimate. Reproduce it in the form above by editing Pre-money alone; the substitution steps will follow your figures exactly.
Where Priced Round Impact 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 new investor ownership recomputed, so the ranking below is measured rather than asserted. For Priced Round Impact the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Pre-money: ten percent up gives 16.8 %, ten percent down gives 19.8 % — ≈8.9 % of the new investor ownership either way
- Nudge New money by ±10 % and Priced Round Impact lands between 16.7 % and 19.7 % (sensitivity ≈8.3 %)
- Nudge Founder+prior shares pre by ±10 % and Priced Round Impact lands between 18.1 % and 18.4 % (sensitivity ≈0.9 %)
- Pool shares added pre-round: ten percent up gives 18.1 %, ten percent down gives 18.4 % — ≈0.8 % of the new investor ownership either way
Pre-money is the dominant lever here: ten percent either way moves the result by about 8.9 %, from 16.8 % to 19.8 %. Spend your verification effort there first, and New money is effectively tied with it (≈8.3 % for the same nudge), so verify the pair together. The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Is your Priced Round Impact good — reading the result bands
The value above only becomes useful the moment you know what it is being measured against. The verdict attached to the default calculation — “Founders diluted to 73.8% — the pool add cost them 6.4 extra points” — is one band on a ladder your own figure may sit somewhere else on. Before treating the band as fact, note its width: ten percent either way on Pre-money already spans 16.8 % to 19.8 %. The practical reading rules: read the band as a starting hypothesis, then test it: change the two dominant inputs by ten percent and see whether the verdict survives. Verdicts that survive stress are the ones worth acting on.
In Business & Entrepreneurship, Priced Round Impact is one instrument in an orchestra: on its own it is a number, next to Post-money and Founders after round it becomes a diagnosis. The tools linked above exist so the headline never has to carry that weight alone.
Common mistakes with Priced Round Impact (and the fix)
Founder secondaries (shares sold by holders) move the other side of the table — model them separately from new equity. 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.
Treating the example inputs as a recommendation. They are a demonstration of the mechanism — a decision-grade Priced Round Impact begins the moment your own figures replace them.
One mistake is specific to this engine: assuming every input matters equally. The computation above shows Pre-money dominating — a careful figure there beats false precision everywhere else.
Another is comparing across contexts: a Priced Round Impact 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.
Priced Round Impact verification checklist
- 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.
- Check Pre-money before anything else: it is the measured dominant input, ≈8.9 % of Priced Round Impact per ten percent.
- Record the date and the inputs alongside the number so future-you knows what was assumed.
- Verify each input against its original source document, not memory.
- Repeat the ±10 % test on the inputs that matter and see whether the decision — not just the number — still holds.
Five steps from raw inputs to a figure you can defend
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Priced Round Impact takes a minute to learn and applies to every input above.
Step 1 — start from evidence. The inputs behind Priced Round Impact are pre-money ($), new money ($), pool shares added pre-round, founder+prior shares pre. Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. A result worth acting on survives having its two shakiest inputs halved.
Step 2 — compute the version you would not be embarrassed by. If a stranger audited your inputs, which set would you hand over? Enter that set, read the result, and treat everything else as upside. Compare the calculation to the rough guess you arrived with, and ask why they differ.
Step 3 — change one input at a time. Nudge a single field by ten percent, watch the headline and its companions move, then undo it. Two or three fields will dominate — the sensitivity table above already ranks them for this engine. A calculation you cannot explain to somebody else is a calculation you cannot defend.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. Estimates improve most when the worst case is written down in ink.
Step 5 — record the context, not just the number. Note today’s date and the inputs alongside the 18.2 % output. Six months from now the context is what turns this figure into a trend. Suspiciously tidy answers deserve the same scrutiny as untidy ones.
The real-world conversations Priced Round Impact settles
Business & Entrepreneurship arguments end at arithmetic or they do not end. Priced Round Impact is the arithmetic: 18.2 % on the example inputs, reproducible by anyone who types the same numbers. Most surprises in numbers are surprises about inputs, not about formulas.
The audience for this page is planners sizing a spend before committing money. In professional Startup Metrics practice the pattern is always the same — screen with Priced Round Impact, then invest slow analysis only in whatever survives the screen. If the answer changes your behaviour, it deserves a second run with different assumptions.
Nothing here is stored or transmitted, so the habit of checking is free: open the page, re-enter current figures, compare with the number you saved last time. Estimates improve most when the worst case is written down in ink.
Quick answers: what searchers ask about Priced Round Impact
What affects Priced Round Impact the most?
The short answer: Pre-money. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the new investor ownership recalculated — Pre-money moved it furthest, by roughly 8.9 % (16.8 % to 19.8 %).
Do new money and pre-money matter equally?
Effectively. Measured on this engine they land at ≈8.9 % and ≈8.3 % for the same ten-percent nudge, so the honest advice is to get both right; chasing precision in only one of them buys almost nothing.
What is a typical Priced Round Impact?
On the worked example above Priced Round Impact comes out at 18.2 %. 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 Priced Round Impact by hand?
Three steps: write the formula (Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares), 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 Priced Round Impact than any number of calculator runs.
What happens to Priced Round Impact if pre-money changes by 10 %?
On these inputs a ±10 % change in pre-money takes Priced Round Impact to 16.8 % against the 18.2 % example — around 8.9 % of the headline. The same test on every other field is in the sensitivity section.
Is the Priced Round Impact result of 18.2 % good or bad?
Neither, on its own — the label “Founders diluted to 73.8% — the pool add cost them 6.4 extra points” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in Pre-money alone moves it by ≈8.9 %.
How do I calculate Priced Round Impact manually?
Write down the inputs, then follow the printed steps in order — Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares. A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.
What affects Priced Round Impact the most?
Sensitivity depends on where you start, but the inputs Pre-money ($) and New money ($) typically move Priced Round Impact 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 does the round dilute more than the investor stake?
Because the pre-money pool takes points without a check arriving.
Do convertibles add to this?
Usually yes — SAFEs and notes convert alongside; include their stakes before signing.
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.
Key terms on this page
- Post-money
- $19,101,835 on the example inputs — a companion figure printed beside the headline of Priced Round Impact so that no result is read in isolation.
- Founders after round
- 73.8 % for the Priced Round Impact worked case; it sits next to the main result because it carries context the headline leaves out.
- Added pool share
- 8.0 % on the example inputs — a companion figure printed beside the headline of Priced Round Impact so that no result is read in isolation.
- New investor ownership
- The primary output of this tool: 18.2 % for the default inputs, computed exactly from Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares.
- Worked example
- The step-by-step substitution printed above, so the arithmetic can be re-derived by hand or in a spreadsheet.
- Verdict band
- The interpretation attached to a result (“Founders diluted to 73.8% — the pool add cost them 6.4 extra points” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Priced Round Impact moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Method, sources and what this tool cannot tell you
The model is published arithmetic implemented exactly as written: Post = pre + new money; all new shares (money + pool) priced at pre ÷ pre-shares. Source of record: Standard term-sheet arithmetic. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
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 design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
After the number: what to do with it
Add the costs the estimate omits first — fees, waste, contingency — then re-run before treating the figure as a budget line.
The audience here is planners sizing a spend before committing money. 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.