Exit & liquidation preferences
Exit waterfall calculator: who gets what, at any exit value
Model your full preferred stack — seniority, liquidation multiples, participation and caps — then drag the exit-value slider to watch preferences, participation and convert-to-common decisions play out live.
Preferred series
Seniority is set per row (higher number = paid first); order here doesn’t matter.
| Stakeholder | Invested | Proceeds | Multiple | Converted? |
|---|---|---|---|---|
| Common | — | $21.8M | — | — |
| Option Pool | — | $3.6M | — | — |
| Seed | $1.5M | $5.5M | 3.64× | Yes |
| Series A | $5M | $9.1M | 1.82× | Yes |
How it works
1. Set the exit value
2. Add your preferred series
3. Preferences pay out first, by seniority
4. Non-participating preferred converts if it's worth more
Frequently asked
What does "participating" preferred mean?+
Participating preferred gets its liquidation preference paid first, then also shares pro-rata in whatever's left over alongside common — effectively double-dipping, sometimes capped at a multiple of the amount invested. Non-participating preferred instead chooses the better of its preference or converting to common.
How does seniority work when two series have the same rank?+
Series with equal seniority are pari-passu: if the exit value can't cover their combined liquidation preference, they split whatever's available pro-rata by preference amount, rather than one being paid in full before the other sees anything.
When does non-participating preferred convert to common?+
Whenever as-converted common proceeds would exceed the liquidation preference — which typically happens at a large enough exit. Foundily checks this for every non-participating series and marks it "converted" in the payout table when it's the better outcome.
What's a participation cap?+
A ceiling on total proceeds for participating preferred, expressed as a multiple of the amount invested (e.g. 3× invested). Once a capped series hits its ceiling, the remaining proceeds are redistributed pro-rata among the other, uncapped participants.
Need this in your own tool or agent?
The exact same engine is available as a JSON API — one key, deterministic results, an OpenAPI spec and an MCP server.