Model any exit, instantly
Your best portfolio company just got an acquisition offer at $80M. How does that affect your fund returns? What if they hold out for $150M? What if two other companies exit the same year? You need answers in minutes, not hours of spreadsheet gymnastics.
Start your free trialAn LP calls and asks: “If your top three companies all exit at their last round valuations, what does the fund return look like?” You know the answer is somewhere between “great” and “we clear the hurdle,” but you can't give a precise number without sitting down with your spreadsheet for an hour. That's not a good look.
The challenge is that exit scenarios aren't simple multiplication. Liquidation preferences mean the first dollars go to preferred shareholders. Participating preferred compounds the complexity. Option pool dilution changes the per-share payout. And when you layer in the fund-level waterfall — return of capital, preferred return, carry — the math becomes genuinely difficult to do on the fly.
Archstone's scenario planning connects your cap table data to your fund waterfall in real time. Change an exit price and instantly see the impact on your fund's MOIC, TVPI, IRR, and per-LP distributions. Model the bear case, base case, and bull case for your entire portfolio in the time it used to take to model one company. Walk into every LP meeting with numbers, not narratives.
Drag a slider to change the exit price for any portfolio company and watch your fund metrics update in real time. See exactly where the breakpoints are — what exit valuation clears your hurdle rate, when carry kicks in, and where the fund hits 3x MOIC. Stop guessing, start modeling.
Model exit scenarios across your entire portfolio simultaneously. Set best-case, base-case, and worst-case exit prices for every company, then see the combined impact on fund returns. Compare scenarios side by side to understand which companies drive the most fund-level upside.
Every scenario instantly calculates the three metrics LPs care about most. MOIC shows capital efficiency, TVPI captures unrealized value alongside distributions, and IRR accounts for the time value of money. See all three update together as you adjust exit assumptions.
Model how drag-along rights affect your exit proceeds when a majority shareholder forces a sale. See the impact of tag-along rights when you want to participate in a secondary transaction. Understand your actual payout under different governance scenarios, not just the theoretical ownership percentage.
See exactly how liquidation preferences affect your payout at different exit prices. Model 1x non-participating preferred, 1x participating preferred with a cap, and stacked preferences from multiple rounds. Know the exit price where common stock starts receiving meaningful proceeds.
Export scenario analyses as clean PDF reports for LP meetings, advisory board reviews, or internal investment committee discussions. Each report shows the assumptions, methodology, and fund-level impact clearly — professional enough to include in your annual meeting materials.
Before committing capital to a new deal, model how it affects your fund's overall returns. If you invest $500K at a $10M valuation, what exit multiple do you need to meaningfully impact fund MOIC? See whether a deal is portfolio-constructive before it gets to term sheet.
During your quarterly portfolio review, model the fund's path to target returns. Which companies need to exit above their last round valuation to hit 3x? Where are the downside risks? Build a narrative around fund performance that's grounded in scenario math, not gut feel.
LPs want to understand when they'll see returns. Model realistic exit timelines for your top companies and show how distributions flow through the waterfall under different scenarios. Give your LPs confidence that there's a clear path from current portfolio valuations to realized returns.
Yes. Every scenario calculation factors in the full liquidation preference stack for each company — including participation rights, preference multiples, and seniority across rounds. Your modeled exit proceeds reflect what your fund actually receives after preferences are satisfied, not just your pro rata share of the headline exit price.
Yes. You can model selling a portion of your position in a secondary transaction while retaining the rest. Archstone calculates the impact on your cost basis, remaining ownership, and fund-level metrics. This is especially useful for modeling early liquidity events that partially return capital to LPs.
Archstone uses actual cash flow dates for IRR calculations — investment dates, capital call dates, and projected exit dates. You can adjust exit timing in your scenarios to see how a 2027 exit versus a 2029 exit affects fund IRR, even if the total return is the same. Time value of money matters and the model reflects it.
Yes. Save any number of named scenarios — “Conservative Q4”, “Bull Case 2027”, “Downside Stress Test” — and compare them in a side-by-side view. Each scenario preserves all exit assumptions and fund-level metrics so you can revisit and update them as portfolio companies hit new milestones.
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