Finance & FP&A

How to model financial scenarios and sensitivities as Real Estate Founders

Finance & FP&AFor Real Estate Founders2 apps10 steps~20 min to set up

You're modeling acquisition scenarios in Excel — cap rate sensitivity tables, reversion assumptions, interest rate stress tests — and every time your bank balance changes or you close a new deal, you're manually updating the inputs. Your Plaid transactions don't talk to your spreadsheet. Your Stripe rental deposits aren't wired into your cash projection. You end up with three versions of the same pro forma, none of which reflect what actually happened last month, and when an LP asks 'what's our runway if the Midtown asset closes 60 days late?' you're rebuilding the model from scratch at 11pm instead of pulling up a live answer.

Build this on Starch → See the apps used

Finance & FP&AFor Real Estate Founders2 apps10 steps~20 min to set up

Outcome

What you'll set up

A live baseline financial model that pulls real revenue from Stripe and real cash outflows from Plaid — no manual updates, no waiting on your bookkeeper

Side-by-side scenario comparisons for your most likely real estate decisions: delayed closing, interest rate move, new acquisition adding to burn, LP capital call timing

A single place where you can answer 'what's our runway under scenario B?' in under two minutes, without rebuilding anything

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

Scenario Analysis Runway Analysis

Data sources & config

Starch syncs your Stripe data on a schedule (rental income, security deposits, management fees) and syncs your Plaid bank feed on a schedule (operating expenses, debt service payments, cap ex draws). The Scenario Analysis and Runway Analysis apps wire directly to these scheduled-sync connections — no exports, no manual inputs. If you track construction draws or title company disbursements through a platform that doesn't have a direct connection, Starch can automate that site through your browser with no API needed.

Prompts to copy

Build me a scenario analysis that uses our Plaid bank feed as the expense baseline and Stripe for rental income. I want three scenarios: base case at current burn, a stress case where our Midtown acquisition closes 60 days late and adds $28k/month in carrying costs, and an upside case where we close the refinance in Q3 and reduce debt service by $14k/month. Show runway, monthly net burn, and break-even month for each.

Show me our actual burn rate for the last 6 months broken down by property — operating expenses, debt service, and cap ex — so I can validate the baseline before I run scenarios.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Stripe to Starch — Starch syncs your rental income, deposit collections, and management fee receipts on a schedule so your revenue baseline is always current.

2 Connect your operating bank account through Plaid — Starch syncs categorized transactions including debt service, property operating expenses, insurance, and cap ex so your burn baseline reflects actual cash out the door.

3 Open the Runway Analysis app from the App Store to validate your baseline — confirm the last 6 months of net burn looks right before you start modeling scenarios.

4 Open the Scenario Analysis app and set your base case — current rental income run rate, current monthly cash burn, and your actual cash balance as of today.

5 Build your stress scenario: tell Starch the assumptions that change — delayed closing date, additional carrying costs on the target acquisition, higher interest rate on the bridge loan — and it recalculates runway and burn under those conditions.

6 Build your upside scenario: model what happens if the refinance closes on schedule, reducing debt service, or if occupancy jumps from 88% to 95% at your stabilized assets.

7 Review the side-by-side comparison — runway months, monthly net burn, and break-even date — for each scenario without rebuilding any formulas.

8 If an LP or partner asks a 'what if' question you haven't modeled yet, type it into Starch in plain language and it builds the new scenario against your live data baseline.

9 Save each scenario so you can come back to it when assumptions change — if your bridge lender updates the rate, update the one input and the rest recalculates.

10 Use the scenario output to anchor your fundraising or acquisition timing conversation — you'll know exactly how many months of cushion you have under each outcome before you commit.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

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Worked example

Midtown Acquisition Stress Test — March 2026

Sample numbers from a real run

Rental income (Stripe, 3 stabilized assets)	94,000
Debt service (2 properties)	-41,000
Operating expenses (Plaid, categorized)	-22,000
G&A and management fees	-9,000
Net monthly burn — base case	22,000
Additional carrying cost — Midtown delayed close (stress)	-28,000
Net monthly burn — stress case	-6,000

In March 2026 you're under contract on a Midtown office-to-residential conversion. Your base case shows $22k/month positive cash flow across your existing three assets — 14 months of runway before your next planned LP close. But the seller just asked for a 60-day extension. You open the Scenario Analysis app, which is already pulling $94k/month in rental income from Stripe and $72k/month in outflows from Plaid, and add one assumption: the delayed close adds $28k/month in bridge loan carry on the acquisition. The stress scenario flips you to -$6k/month net burn. Runway drops from 14 months to 6. That's the number you need before you decide whether to agree to the extension, accelerate the LP close, or renegotiate the bridge terms. You share the scenario output with your LP in the same conversation instead of going away to rebuild a spreadsheet.

Measurement

How you'll know it's working

Net monthly cash burn per property vs. portfolio total

Runway in months under base, stress, and upside scenarios

Debt service coverage ratio across stabilized assets

Break-even occupancy rate at target acquisition

Days until next LP capital call vs. projected cash position

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Excel / Google Sheets pro forma

You can model anything you want, but your inputs go stale the moment your bank balance changes — there's no live connection to Plaid or Stripe, so every LP meeting requires a manual refresh.

Argus Enterprise

Purpose-built for institutional asset-level underwriting with deep DCF and waterfall modeling, but it doesn't pull your actual operating bank data or help you answer portfolio-level 'what's our runway?' questions — and the seat cost is hard to justify as a small operator.

QuickBooks + spreadsheet combo

QuickBooks tracks actuals well, but the scenario modeling still lives in a separate spreadsheet that doesn't update when your books change — you're copying numbers between two systems every time you need a current picture.

On Starch RECOMMENDED

One platform — scenario planning, runway analysis all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Can Starch model waterfall distributions or LP return scenarios, not just burn rate?

The Scenario Analysis app is built around cash runway and burn rate — it models how operating assumptions affect your cash position over time. It's not a waterfall calculator. If you want to layer in LP return scenarios or IRR sensitivity, you'd describe that to Starch in natural language and it can build a custom app on top of your connected data. Tell it 'build me a waterfall model using our actual net operating income from Plaid and Stripe, with a 7% preferred return and 80/20 split above that' and it will assemble the surface.

My rental income goes through a property management software platform, not directly through Stripe. Can Starch still pull that data?

It depends on the platform. Starch connects to 3,000+ apps through its integration catalog — connect your property management platform there and the agent queries it live when your scenarios run. If it's a web-based platform without a direct connection, Starch can automate it through your browser with no API needed. And if you're also collecting any payments through Stripe, Starch syncs those directly on a schedule.

How current is the financial data the scenarios are based on?

Plaid and Stripe data syncs on a schedule, so your baseline reflects recent transactions — not a snapshot from whenever you last exported a file. The exact refresh cadence depends on your plan. This isn't a long-horizon data warehouse: Starch surfaces live data, not multi-year archived analytics. For most acquisition and runway decisions, same-day or next-day data is what you actually need.

Is Starch SOC 2 certified? I have LPs who ask about data security.

Not yet — Starch is not SOC 2 Type II certified today. If that's a hard requirement from your LPs or institutional partners, it's worth flagging. It's on the roadmap. For operators who are comfortable with the current security posture, all data connections use OAuth and standard encryption.

Can I share a specific scenario with my GP partner or LP without giving them access to everything?

You can export scenario outputs and share them directly. Granular permissions per scenario view are a product area that's still developing — today you'd share the output rather than giving a collaborator a live link to a restricted view. Describe what you need to Starch and it can help you format the output for LP consumption.