Data Center Operations Pro Forma

Infrastructure Excel Template (Free Download)

Project facility capacity, customer lease-up, power consumption, pricing, cost-to-serve, and margins for a data center operator.

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Created by ex-finance
professionals from Deloitte
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About this pro forma

The pro forma projects available and leased MW, occupancy ramp, and customer mix across wholesale and retail colocation. Space rent is calculated from leased kW and monthly recurring charges; power pass-through uses kWh, PUE, and electricity rates; interconnection fees add a separate revenue stream.

Enterprise, cloud, hyperscale, carrier, and other customer terms flow into operating costs and unit economics. Operators, infrastructure investors, and capacity planners can evaluate lease-up, pricing, power exposure, and expansion constraints.

What every model includes

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

What's inside the Data Center Operations Pro Forma

  • Installed and leased MW capacity roll-forward
  • Wholesale and retail colocation occupancy ramp
  • Space rent by leased kW and monthly recurring charge
  • Power pass-through from kWh, PUE, and electricity rates
  • Interconnection and cross-connect fee revenue
  • Customer mix, contract term, and cost-to-serve outputs
  • EBITDA, margin, rack/cabinet economics, and expansion sensitivities
income_statement.xlsx
Income statement, brown brand palette
income_statement.xlsx
Income statement, green brand palette
income_statement.xlsx
Income statement, red brand palette

Formatted to IB standards

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with clear input, output, and cross-sheet reference styling - brand-ready, institutional-grade, and fully auditable.

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

Having a template library on hand cuts a first build from hours to minutes.

Need help finding your model? You’ll find me in the Finamodel app!

Frequently asked

How is data center revenue projected?+

Leased capacity drives space rent, metered usage drives power pass-through, and installed connections drive interconnection fees.

What is PUE?+

Power Usage Effectiveness compares total facility power with IT equipment power and determines the energy required to serve demand.

Can I model customer segments?+

Yes. Wholesale, retail, enterprise, cloud, hyperscale, and carrier assumptions can carry different pricing and terms.

Who uses this pro forma?+

Data center operators, infrastructure funds, IT leaders, and capacity planners use it for pricing and expansion decisions.

Have more financial modelling questions? Contact us

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