Technical Guides

Data Centre Customer Contract Models

Data centre customer contracts carry specific structural provisions, SLA-linked service credits, renewal options, fixed annual escalators, and early termination rights, that materially affect revenue durability and should be modelled explicitly rather than assumed away in a simplified revenue growth curve. This guide sets out how to model each provision's financial effect and why contract-level detail matters more in this sector than in a generic subscription revenue model.

Data Centre Expansion Models

Data centre expansion, adding incremental capacity to an already-operating facility, requires demand validation against the existing tenant base and market before phased capex is committed, and capex scheduling that reflects construction alongside a live, revenue-generating operation. This guide sets out the operational expansion model within an existing facility's ongoing operating model, distinct from a new greenfield development or an acquisition decision.

Data Centre Financial Due Diligence

Data centre financial due diligence extends standard quality of earnings analysis with sector- specific verification, contract-by-contract revenue quality, independent capacity headroom verification against the actual binding constraint, and confirmation of how power cost pass-through risk is actually allocated under each material tenant agreement. This guide sets out the due diligence procedures specific to a data centre transaction, whether an acquisition, financing, or investment.

Data Centre Financial KPIs

A data centre financial model should track a defined set of KPIs spanning scale, utilisation, retention, pricing, efficiency, and profitability, since no single metric captures operating performance on its own. This guide sets out the core KPI set, MW under management, utilisation rate, churn, revenue per kW, power usage effectiveness, and EBITDA per MW, and how to interpret each correctly alongside the others rather than in isolation.

Data Centre Greenfield Development Models

A greenfield data centre development carries distinct risks from an operational expansion or an acquisition: site selection and power interconnection timeline risk, construction sequencing against phased capacity delivery, and the pre-leasing versus speculative capacity decision that determines how much development risk the operator carries before revenue begins. This guide sets out how to model a greenfield development from site selection through stabilised operation.

Data Centre Investor Model Review

An investor evaluating a data centre equity investment should review the financial model with particular attention to the contracted versus uncontracted revenue mix, the reasonableness of the discount rate and required return applied given the business model's actual risk profile, and the assumptions underlying any projected exit valuation. This guide sets out the investor-specific review sequence distinct from a lender's debt-focused review.

Data Centre Lender Model Review

A lender financing a data centre development or acquisition should review the financial model with particular attention to debt sculpting against phased, capacity-tranche capex drawdown, covenant testing under a tenant concentration downside scenario, and independent verification of power cost pass-through mechanics. This guide sets out the lender-specific review sequence and the structural checks a data centre financing typically requires beyond general model audit procedures.

Data Centre Maintenance Models

Data centre maintenance covers the planned preventive maintenance of critical infrastructure, power distribution, cooling plant, and backup generation and battery systems, whose failure directly risks the facility's service level commitments. This guide sets out how to model maintenance cost as a distinct opex category driven by component life cycles, and how to distinguish routine maintenance from the capital renewal that eventually replaces, rather than merely services, ageing infrastructure.

Data Centre Model Audit

A data centre model audit tests the structural integrity of the model's formulas and logic, distinct from validating the reasonableness of its input assumptions. This guide sets out the audit procedures specific to a data centre model: verifying capacity constraint calculations, revenue driver formulas, and power cost pass-through logic actually compute what they are represented to compute, free of circularity, hardcoding, or broken links.

Data Centre Model Documentation Standards

A data centre financial model should maintain a documentation standard that traces capacity assumptions to their engineering or survey source, contract terms to the underlying agreements, and power cost pass-through methodology to the specific contractual mechanism it implements. This guide sets out the documentation practice that keeps a data centre model auditable and defensible as it is updated and handed over across successive reporting periods and personnel.

Data Centre Model Governance Framework

A data centre model governance framework assigns clear ownership for capacity, pricing, and contract assumptions, defines update triggers tied to capacity delivery milestones and contract renewal dates, and structures reporting so an investment committee or board can assess model risk consistently across successive reporting periods, surviving personnel turnover rather than depending on undocumented institutional knowledge.

Data Centre Model Validation

Data centre model validation tests whether the model's input assumptions, capacity headroom, pricing and discount assumptions, PUE, and contract terms, are reasonable and well-sourced, distinct from auditing whether the model's formulas are structurally correct. This guide sets out the validation procedures specific to a data centre model, and the sourcing standard each category of assumption should meet.

Data Centre Modelling Best Practices

This capstone guide synthesises the construction discipline that should govern any data centre financial model: verify capacity against the actual binding constraint before projecting revenue, decompose revenue into separable drivers, trace every material contract term to its source agreement, and build governance that survives personnel turnover. It draws together the individual disciplines covered throughout this pillar into a single, practical construction standard.

Data Centre Network Revenue Models

Network revenue extends beyond the per-connection cross-connect fee to include carrier density, internet exchange or peering point participation, and the network ecosystem value a facility develops over time. This guide sets out how to model network revenue as a distinct, ecosystem-driven growth driver, and how facility network density can support premium base pricing independent of the cross-connect fees themselves.

Data Centre Occupancy & Utilisation Models

Data centre occupancy modelling requires distinguishing three related but distinct capacity states: billed (contracted) capacity, actually utilised capacity, and total available capacity. This guide sets out how to model each state and the ratios between them, and why conflating billed occupancy with actual utilisation misrepresents both revenue durability and the facility's true remaining capacity headroom.

Data Centre Operating Cost Models

A data centre operating cost model should separate power, cooling, maintenance, staffing, security, and insurance into distinct, activity-linked cost categories rather than a single blended operating cost percentage of revenue. This guide sets out the full operating cost structure, how each category's driver differs, and why a blended cost assumption conceals which category is actually responsible for a margin change.

Data Centre Power Consumption Models

Power consumption modelling forecasts a data centre's actual electricity draw and cost, distinct from the capacity planning discipline that governs how much power can be sold. This guide sets out how to model load factor, utility tariff structure (demand charges versus consumption charges), and the distinction between contracted and actual power draw, since power is typically the largest single operating cost category in this sector.

Data Centre Pricing Models

Data centre pricing modelling sets the strategic assumptions behind the per-unit rates applied in a rack revenue model, list price versus negotiated discount, contract term length and its associated discount, and competitive benchmarking against comparable facilities. This guide sets out how to model pricing strategy as a distinct layer from billing mechanics, and why blending the two conceals whether a revenue change is coming from volume, mix, or genuine pricing movement.

Data Centre Sale & Leaseback Models

A data centre sale and leaseback transaction releases capital by selling the underlying real estate or facility asset to an investor while the operator continues to run the facility under a long-term lease. This guide sets out how to model the capital release, the continuing lease obligation's effect on the operator's cost structure and financial flexibility, and the trade-off between sale price and lease term or escalation terms.

Data Centre Scenario Analysis

Data centre scenario analysis tests a model against structurally coherent alternative futures, correlated combinations of occupancy, pricing, power cost, and tenant concentration outcomes, rather than flexing a single driver in isolation. This guide sets out how to construct upside, base, and downside scenarios that move related drivers together consistently, and the sector-specific scenario dimensions, demand shift, power cost shock, and tenant concentration stress, most relevant to this business.