Institutional real estate DCF · Swiss πŸ‡¨πŸ‡­ engineered

There is no alternative to knowing the number

The Open Real Estate DCF calculator. No trial. No catch.

Precise - Transparent - Consistent - Auditable

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Ungeared IRR Equity multiple Peak equity

The Return

Run the deal.
Get the number.
Walk away.

ActumDCF gives you the IRR β€” institutional cashflows, exit logic, Swiss-grade math β€” without an account, an email, or a trace. Close the tab and the file's gone. The number stays with you.

No account · No email · No trace
Run the deal
UNGEARED IRR 5Y HOLD · GBP
14.7%

Equity Multiple 2.1×
Peak Equity £42.3m
Exit Yield 4.75%
Y0 Y1 Y2 Y3 Y4 Y5

The yield trade is over. The operational edge isn't.

Rents, costs, yields, exit β€” every assumption transparent...

Excel-based app preview

Filter deals faster

Everything you need to decide which deals work

We combine the best private equity DCF methods - from the likes of Morgan Stanley, Deutsche Bank and Sam Zell's pioneering global platforms - with leading technology stacks and unrivalled Swiss accuracy to your numbers.

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Institutional IRRs for Real Estate

Purpose-built for private equity, fund managers, and institutional teams.

No details. No hassle. πŸ‘† No strings attached experience.

Accurate, no-fuss, institutional DCFs

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Ultra Fast

Institutional-grade cashflows in seconds/minutes, not hours/days.

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Safe Open Standard

Transparent, auditable, and ready for institutional governance.

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Avoid Expensive Subs

Convert ideas into institutional analysis without recurring headaches.

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Work Smarter

Declarative models let teams steer strategy, not spreadsheets.

Whats under the hood?

⬇️ 97% fewer Analyst formulas

Common-sense Microsoft Excel Excel declarations

Mirrored in Excel, Python, Java, Rust and Ruby.

Adopt Open DCF Standards to:

  • Future-proof business for in-house AI projects (immediately provide AI-interoperability for cashflows).
  • Benefit from open-source strength while maintaining data privacy (given the same assumptions, any new Analyst can build the same model).
  • Elevate your Analysts from Operators of Spreadsheets to Declarers of Investment Logic.
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FAQ

What is DCF4RE and why does it matter for CRE investors? βŒ„

DCF (Discounted Cash Flow) for Real Estate (4RE) is an online resource for blazingly fast cash flow analysis for investors and valuation professionals. It's a tool that projects future property cash flows and discounts them back to present value. For CRE investors it provides a forward-looking, cash-focused measure of value that supports underwriting and financing decisions β€” far more informative than a single snapshot capitalisation rate with hidden and implicit assumptions clients cannot follow.

Why is DCF4RE easily auditable? βŒ„

DCF4RE runs two independent calculations. One in the web browser and a second one for your to check in Excel with a Microsoft Excel file that can be downloaded *.xlsx. Each calculation is a safe single-purpose function with explicit inputs and outputs. Golden tests compare Excel outputs to the Ruby/Python equivalents so parity is maintained and everything is checkable.

What cashflow components are covered? βŒ„

The standard follows a top-to-bottom free-cash-flow: 1) A monthly Timeline, 2) Income, 3) OPEX, 4) Capital (transaction and capex items), 5) Debt 6) Returns (net cashflows, IRR, multiples). Function names map exactly to where they live in this flow.

What property assumptions are included in version 1? βŒ„

Version 1 covers the essentials covered in the RICS 5th Edition: buy and sell costs; logistics/office/retail leases, breaks, rent reviews, expiries, void periods, rent free periods and new releasing terms.

Can I use these functions in my own apps or workflows? βŒ„

Yes β€” this is based on the open-source DCF standard for Ruby, Excel and Python implementations. Get in touch to set-up in-house tools for your team.

How are models tested for Excel ↔ Ruby parity? βŒ„

Golden tests run canonical cases through the Excel LAMBDA and the mirrored Ruby function; CI compares numeric outputs and reports pass/fail. Contributions must keep both sides aligned.

Where should I start if I want to understand the open-source DCF standard for myself? βŒ„

Start with the naming conventions in `github.com/DCF/docs/overview.md`, then explore working examples under `/library/excel`. Try converting a small worksheet into a handful of LAMBDA functions and mirror them in Ruby to see the benefits.

What are the main benefits for my team? βŒ„

Auditability, interoperability (Excel ↔ code), productivity gains from reusable functions, and AI-friendliness β€” structured headers help automation and LLMs understand function intent.