# Data Centre Investment Model Underwrite data centre acquisitions with lease-up forecasts, power capex, and exit multiples without spreadsheet template hunting. Model facility acquisition, occupancy ramp by customer segment, capex tied to utilization triggers, and a full waterfall to equity investors. - Canonical: https://finamodel.com/templates/data-centre-model - Excel download: https://finamodel.com/templates/data-centre.xlsx - Category: Infrastructure - Model type: Project finance - Difficulty: Intermediate - Audiences: Investors & analysts, Developers & sponsors, Infrastructure investors, Private equity, REITs, Strategic buyers - Tags: Real estate, Investment, Lease-up, ROIC ## Overview This data centre investment model evaluates the acquisition and development of a data centre facility as a core/core+ infrastructure investment. It models facility acquisition at a purchase price, lease-up from opening occupancy through stabilised occupancy across wholesale and retail customer segments, annual revenue ramps with pricing escalation, and capex phasing for power expansion tied to utilisation triggers. The model projects stabilised net operating income (NOI) and applies an exit cap rate to calculate terminal value. It includes permanent debt financing (agency or institutional lender), debt service coverage ratio (DSCR) covenants, and levered cash flow to equity including distributions and exit proceeds. The model includes a construction and lease-up phase showing acquisition capex, power infrastructure additions during ramp, and partial-year revenue recognition. Operating phase shows annual revenue (space, power, interconnection), operating expenses (facility staff, property taxes, insurance, maintenance capex), and NOI. A debt schedule shows acquisition financing, ongoing debt service, and DSCR testing. A waterfall distributes operating cash flow and exit proceeds to investors after debt service. Returns sheets calculate unlevered IRR (project IRR), levered IRR (equity IRR), equity multiple, yield on cost, and going-in/exit cap rate spreads. This model is used by large infrastructure funds (Equinix, Digital Realty, Blackstone Infrastructure, etc.) evaluating data centre portfolio acquisitions and expansions; lenders financing core+ and value-add data centre investments; and equity sponsors assessing return potential and downside scenarios. It is essential for any institutional investor in the data centre space where long-term leases, capital intensity, and ESG considerations (power, water, cooling) shape investment decisions. ## What's included - Facility acquisition price and due diligence capex - Lease-up schedule by customer segment and power tier - Revenue ramps with pricing escalation and churn - Power and cooling capex expansion tied to utilization - Exit assumptions and return waterfall by IRR and MOIC ## Data Centre Investment Model: How the Template Evaluates Facility Acquisitions and Developments A data centre investment model helps investors assess whether to acquire or develop a facility by projecting capacity utilisation, capital expenditure, and long-term lease cash flows. This template captures the asset-heavy, REIT-like economics of data centres, from phased construction through lease-up, debt financing, and exit returns, providing a structured framework for underwriting mission-critical infrastructure investments. Rates and financial results described here reflect illustrative model settings, not industry benchmarks. ### Revenue Drivers: Space, Power, and Interconnection The model builds revenue from multiple contractual streams. Space and power rent is calculated as leased capacity in kW multiplied by a monthly recurring charge per kW, with annual escalators typically applied. - Power pass-through revenue recovers tenant electricity consumption, calculated as IT load times hours and power usage effectiveness, then multiplied by the local rate; this is often billed at cost with a possible markup. Interconnection fees come from cross-connects multiplied by a monthly fee, common in carrier-neutral retail facilities. - Non-recurring charges arise from new leases signed and setup fees. Together, these streams create a predictable, contractual revenue base with minimal seasonality, though power recovery can fluctuate with utility rates and cooling needs. ### Cost Structure and Operating Leverage Costs are split between variable and operating expenses. Variable costs are dominated by utility power, which scales linearly with tenant IT load and PUE, plus water for cooling and direct cross-connect materials. - Operating expenses include facility maintenance, security, property taxes, insurance, site staff, and corporate SG&A. Labour typically represents 10% to 15% of revenue, while technology, insurance, and regulatory compliance each account for a few percent. - The model produces a gross margin of 50% to 70% and stabilised EBITDA margins of 50% to 65%, reflecting the high operating leverage once the facility is leased. Maintenance capex is estimated as a percentage of revenue, ensuring ongoing capital needs are captured. ### Capital Expenditure and Financing Flow The model incorporates phased construction, separating core and shell costs from MEP fit-out. Total build cost is calculated as shell cost per MW plus MEP cost per MW, multiplied by megawatts built. - Construction typically spans 18 to 36 months, with MEP fit-out phased over time—often meaning not all capacity is fitted out on day one. Debt sizing follows a target debt-to-capital ratio, with drawdowns during construction, interest capitalised as IDC, and term conversion to amortising debt. - Interest expense is based on the opening debt balance and annual rate. The debt schedule also calculates DSCR, a key covenant metric, and feeds into the income statement and cash flow. ### Outputs, Returns, and Practical Use The template produces an integrated set of financial statements: income statement, cash flow, and balance sheet, along with a returns sheet that calculates exit valuation, unlevered and levered IRR, equity multiple, and NPV. - A checks sheet validates balance sheet integrity, capacity limits, PUE above 1.0, DSCR above 1.25x, stabilised margins, build cost per MW, and cash balances. - These outputs allow users to evaluate investment feasibility, test occupancy ramp assumptions, and assess sensitivity to power costs and lease rates. - The model is intended for underwriting data centre acquisitions or developments, providing a structured view of the asset-heavy, contractual cash flow profile typical of the sector. ## Lease-up sensitivity and cash return timing Model different lease-up speeds and pricing scenarios and see the direct impact on cash return timing, IRR, and equity multiple. ## Capex tied to utilization ramps Tie power and cooling capex to occupancy triggers so you forecast expansion timing and its cash drag accurately rather than front-loading investment. ## Hold versus sell and exit strategy Model market cap rate and ROIC at stabilization to decide whether to hold for long-term income, exit at full occupancy, or pursue platform acquisition. ## Lease-up sensitivity and cash return timing Model different lease-up speeds and pricing scenarios and see the direct impact on cash return timing, IRR, and equity multiple. ## Capex tied to utilization ramps Tie power and cooling capex to occupancy triggers so you forecast expansion timing and its cash drag accurately rather than front-loading investment. ## Hold versus sell and exit strategy Model market cap rate and ROIC at stabilization to decide whether to hold for long-term income, exit at full occupancy, or pursue platform acquisition. ## Features - **Lease-up sensitivity:** Model different lease-up speeds and pricing and see the impact on cash return timing and IRR. - **Capex planning:** Tie power and cooling capex to utilization ramps so you forecast expansion timing and cash impact. - **Strategic value creation:** Model different paths: stabilize and hold, exit at full occupancy, or platform acquisition and cross-sell. ## Use cases - **Deal underwriting and diligence:** Model multiple lease-up scenarios and stress test assumptions to justify offer price and expected returns. - **5-year business plan:** Create detailed capex and revenue plans to present to lenders and investors. - **Hold vs. sell decision:** Model market cap rate and ROIC at exit to decide whether to hold for long-term value or monetize. ## Frequently asked questions ### What is a data centre investment model? It is an infrastructure investment model that underwrites a data centre acquisition by forecasting lease-up, power capex, operating NOI, and levered returns to equity. ### What is a typical lease-up curve for a data centre? Conservative underwriting assumes 5 to 7 years to stabilization. With strong anchor tenants in high-demand markets, 3 to 4 years is achievable. ### What exit multiple should I assume? Modern data centres trade at 25 to 30 times EBITDA depending on occupancy, growth profile, and market. Back into residual value from your target IRR. ### How much capex is needed for expansion? Budget $100 to $200 per rack per year for power and cooling upgrades during the ramp. Anchor this to actual facility economics and local utility constraints. ### Who uses data centre investment models? Infrastructure funds, private equity, REITs, and strategic buyers use them for deal underwriting, 5-year business plans, and hold versus sell analysis. ## Related templates - [Data Center Operations Model](https://finamodel.com/templates/data-center-ops-model) - [Real Estate Fund Investment Model](https://finamodel.com/templates/real-estate-fund-model) - [Industrial Warehouse and Logistics Real Estate Model](https://finamodel.com/templates/industrial-warehouse-model)