Financial modeling
Real estate financial modeling — waterfalls and sensitivity, done right.
Real estate financial modeling software builds the return math behind a deal — the debt, the GP/LP equity waterfall, and the sensitivity of returns to key assumptions. Origentic models multi-tier waterfalls (preferred return, catch-up, promote, clawback) and two-variable sensitivity grids on a deterministic engine, so partnership economics reconcile every time. It's free to start.
Partnership economics, made clear
Model the GP/LP waterfall — preferred return, GP catch-up, promote/carried interest, and clawback — and see exactly how proceeds split at every hurdle for the sponsor and each investor.
- •Multi-tier waterfalls with IRR hurdles and promote
- •LP and GP cash flows and returns computed deterministically
- •Reconciliation checks that tie sources to uses
The capital stack, not just the asset
Size senior debt by LTV, LTC, DSCR, or debt yield, add junior/mezzanine debt, a mid-hold refinance, funded reserves, and an institutional preferred-equity tranche — all flowing into the levered returns.
- •Preferred equity: current pay, accrual, and redemption
- •Junior debt and mid-hold cash-out refinance
- •Amortization and interest into the levered cash flows
See what actually moves the return
Run two-variable sensitivity tables — exit cap versus rent growth, price versus leverage — with full engine runs, not interpolation, so the biggest levers are obvious before committee.
Why teams choose Origentic
Frequently asked questions
- Does Origentic support GP/LP waterfalls?
- Yes. Origentic models multi-tier equity waterfalls with preferred return, GP catch-up, promote/carried interest, and clawback, and computes LP and GP cash flows and returns deterministically.
- Can I model preferred equity and a refinance?
- Yes. You can add a preferred-equity tranche (current pay plus accrual with redemption), junior/mezzanine debt, and a mid-hold cash-out refinance, all reflected in the levered returns.
- How does sensitivity analysis work?
- You choose two variables — for example exit cap and rent growth — and Origentic runs the full engine for each cell of the grid to show how IRR or equity multiple responds, with no interpolation.
- Is the modeling reproducible?
- Yes. The engine is deterministic and verified against a frozen test-vector suite, so identical inputs always produce identical outputs.
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