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IT services and infrastructure

Cloud hosting provider financial model, built free.

A three-statement Excel model for a cloud, GPU compute and hosting provider, built from your own figures and checked to balance.

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We use generative AI in parts of our process, so mistakes can occur. Every model should be checked by a person before it is relied on. Read more

The business

Owns servers and GPU clusters in its own or colocated data centres and rents compute, storage and hosting by the hour or under multi-year reserved contracts, with capital-intensive hardware refreshed every few years.

In short

  • 01

    Three linked statements

    Income statement, balance sheet and cash flow, linked in every period.

  • 02

    Valued two ways

    Discounted cash flow and trading multiples, side by side.

  • 03

    Monthly to annual

    Monthly, quarterly, half-yearly or annual periods, for up to 30 years.

  • 04

    Checked every period

    A Checks sheet shows the balance sheet balances and the cash reconciles.

The sample

The sample, as Excel draws it.

Built by the same system and checks as yours: its structure and its inputs, ready for your own figures.

Annual · 10 years · Low detail
Cloud hosting provider sample model.xlsx
The How It Works sheet of the sample cloud hosting provider model

The sample describes no real business. Yours is calibrated to your own figures, so its results are your business’s.

How it works

How the model works for a cloud hosting provider.

  1. How it earns revenue2 formulas
    Compute revenue and utilisation · All compute clusters
    Reserved capacity revenueRevenue under contractRevenue from renewals and re-letting
    Compute revenue and utilisation · All compute clusters
    Unit-hours under contractContract 1 — unit-hours contractedContract 2 — unit-hours contractedContract 3 — unit-hours contractedUnit-hours renewed or re-let (within the hours the fleet has free)
  2. What drives its costs3 formulas
    Cluster power, colocation and running costs · All compute clusters
    Cluster power and running costsPower costColocation rentBandwidth, maintenance, site staff and insurance
    Cluster power, colocation and running costs · All compute clusters
    Electricity used (IT load × load factor × PUE × hours)Unit-hours available (average units × hours)from compute fleet capex and depreciationIT power per unit at full loadLoad factor (idle draw plus utilisation)Power usage effectiveness (PUE)
    Operating expenses · Across the business
    Total FTEsOperations and deliverySales and marketingTechnologyFinance, HR and administration
  3. What it invests in3 formulas
    Compute fleet capex and depreciation · All compute clusters
    Compute capex (units deployed × all-in cost per unit)Units deployedAll-in cost per unit deployed
    Compute fleet capex and depreciation · All compute clusters
    Compute depreciationDepreciation of the opening fleetDepreciation of new units
    Compute fleet capex and depreciation · All compute clusters
    Closing net book valueOpening net book valueCompute capex (units deployed × all-in cost per unit)Compute depreciation
  4. How it is funded3 formulas
    Debt
    RepaymentsScheduled repaymentsPrepayments from an equity raise and the cash sweep
    Debt
    Closing balanceOpening balanceDrawdownsRepayments
    Debt
    Interest expenseOpening balanceAll-in interest rateshare of the year
  5. How profit becomes cash3 formulas
    Working capital
    Trade receivablesRevenuefrom statementsDebtor daysDays in period
    Working capital
    InventoryDirect costs (positive)from statementsInventory daysDays in period
    Working capital
    Trade payablesCash operating costs (positive)from statementsCreditor daysDays in period
What it covers

19 parts, each one tested.

Every part is a tested building block with its own checks: yours is put together from the ones your business needs.

  • CPI forecastConsensus curve with long-run anchor
  • Operating expensesHeadcount build by function
  • Corporate costsFixed cost base indexed to CPI
  • Working capitalFull working capital
  • Income taxCorporate rate with tax losses
  • DebtAmortising term loan
  • Equity raisingDistribution reinvestment plan
  • Discounted cash flow valuationDCF on free cash flow to the firm
  • Multiples valuationEV / EBITDA multiple
  • LeasesLease register
  • Key-metric summaryLast-twelve-month and run-rate metrics
  • Covenant tests and headroomLVR, gearing and ICR for property
  • Debt capacityLoan-to-value capacity
  • Case selectionStackable stress toggles
  • Headcount plan by functionHiring plan by functionEmployees and staff cost by function (cost of revenue, sales and marketing, R&D, G&A).
  • Interest-rate forecastMarket forward curve
  • Compute fleet capex and depreciationDeployment schedule × cost per unitServers, GPUs, networking or mining machines deployed in a cluster, their capex, depreciation and book value.
  • Compute revenue and utilisationReserved capacity contractsRevenue from renting compute or hosting, or from mining, earned on a cluster's capacity.
  • Cluster power, colocation and running costsPower × PUE plus colocation rentPower, colocation rent, bandwidth and site costs of running a compute cluster.
Key numbers

The numbers it tracks.

  1. 01GPUs or servers deployed
  2. 02utilisation
  3. 03revenue per GPU-hour
  4. 04contracted backlog
  5. 05EBITDA margin
  6. 06capex
  7. 07payback per cluster
  8. 08debt service cover
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The sample is built on illustrative figures and describes no real business. Models are calculations prepared from the information you provide. They are not financial advice and must be independently verified. See our terms.