Data Centre Financial KPIs
Executive Summary
Key Takeaways
- ✓ MW under management, utilisation rate, churn, revenue per kW, power usage effectiveness (PUE), and EBITDA per MW together form the core data centre financial KPI set, and no single one captures operating performance on its own.
- ✓ A rising MW under management figure alongside a falling utilisation rate signals capacity growth outpacing demand, a combination that a scale metric alone would not reveal.
- ✓ Revenue per kW should be read alongside density tier mix, since a rising figure driven purely by a shift toward higher-density tenants reflects mix change, not underlying pricing power.
- ✓ EBITDA per MW is the most complete single profitability metric in this sector, since it captures revenue, operating cost, and power efficiency (through its effect on cost) together against the facility's core capacity unit.
Objective¶
This guide sets out the core data centre financial KPI set within Data Centre Financial Modelling, and how each metric should be interpreted alongside the others.
Scale: MW Under Management¶
MW under management is the total critical IT load capacity an operator has built and is operating across its portfolio, whether or not currently leased. It is the core scale metric for a data centre operator. Read alone, it says nothing about how much of that capacity is actually generating revenue, which is why it must be read alongside utilisation rate.
Utilisation: Occupancy and Utilisation Rate¶
The proportion of available capacity actually billed or utilised, tracked by density tier rather than as a single blended figure. A rising MW under management figure alongside a falling utilisation rate signals capacity growth outpacing demand, a combination scale alone would not reveal.
Retention: Churn Rate¶
The rate at which contracted capacity is lost to tenant departures or downsizing, tracked separately from gross new bookings so the model shows the underlying retention dynamic rather than a single net occupancy growth figure. See Colocation Financial Models.
Pricing: Revenue per kW¶
Revenue generated per kW of billed capacity, the core pricing metric. This should be read alongside density tier mix, since a rising revenue per kW driven purely by a shift toward higher-density tenants, who pay a premium per-kW rate, reflects mix change rather than genuine underlying pricing power. See Rack Revenue Models.
Efficiency: Power Usage Effectiveness (PUE)¶
Power usage effectiveness measures total facility power consumption against IT equipment power consumption. A PUE closer to 1.0 indicates less power lost to non-IT overhead such as cooling and power distribution, directly reducing power cost per unit of billable capacity and therefore feeding directly into profitability.
Profitability: EBITDA per MW¶
EBITDA generated per MW of capacity under management, the most complete single profitability metric in this sector, since it captures revenue (occupancy and pricing), operating cost (including power cost, which PUE directly affects), and scale together, making performance more comparable across facilities of different sizes than absolute EBITDA alone.
Reading the KPI Set Together¶
No single metric in this set should be read in isolation. A facility can show strong MW under management growth while utilisation deteriorates; strong revenue per kW driven by mix shift rather than pricing power; or attractive EBITDA per MW at a facility with high but well-monetised churn. The KPI set is designed to be read as a system, cross-checking each metric against the others before drawing a conclusion about underlying operating performance.
Common Construction Pitfalls¶
Reporting MW under management without utilisation rate. Conceals whether capacity growth is being matched by demand.
Reading revenue per kW growth as pricing power without checking density mix. Misattributes mix-driven revenue change to genuine pricing improvement.
Tracking absolute EBITDA rather than EBITDA per MW. Prevents meaningful comparison across facilities or reporting periods with different capacity scale.
Recommended Practices¶
- Report MW under management and utilisation rate together, never scale alone.
- Decompose revenue per kW trend against density tier mix before attributing it to pricing power.
- Track PUE trend alongside power cost, since the two should move together.
- Use EBITDA per MW, not absolute EBITDA, as the primary cross-facility profitability comparison.
Continue Reading¶
Related Pillars¶
Related Technical Guides¶
Related Glossary¶
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Frequently Asked Questions
What is MW under management?
The total critical IT load capacity, in megawatts, that an operator has built and is operating across its portfolio, whether or not that capacity is currently leased. It is the core scale metric for a data centre operator, analogous to assets under management in other capital-intensive sectors.
How should utilisation rate be read alongside MW under management?
Together. A rising MW under management figure alongside a falling utilisation rate signals that capacity growth is outpacing demand, a warning combination that scale alone would not reveal, since total capacity can grow even as the proportion actually leased declines.
Why does revenue per kW need to be read alongside density tier mix?
Because a rising revenue per kW figure driven purely by a shift toward higher-density tenants (who pay a premium per-kW rate) reflects mix change, not genuine underlying pricing power, and the two should be distinguished before revenue per kW is used to assess pricing trend.
What is power usage effectiveness and why does it matter financially?
Power usage effectiveness (PUE) measures total facility power consumption against IT equipment power consumption; a PUE closer to 1.0 indicates less power is lost to non-IT overhead such as cooling and power distribution. A lower PUE directly reduces the facility's power cost per unit of billable IT capacity.
Why is EBITDA per MW considered the most complete single profitability metric?
Because it captures revenue (through occupancy and pricing), operating cost (including power cost, which PUE directly affects), and scale together against the facility's core capacity unit, making it more comparable across facilities of different sizes than absolute EBITDA alone.
Related Articles
Data Centre Financial Modelling
Data centre financial modelling is the discipline of modelling a data centre operator's revenue, cost, and capital structure from its capacity-denominated drivers, power, space, and cooling capacity, rack density, and tenant contract structure, rather than the generic market-price and headcount-growth drivers used in most corporate models, or the pure occupancy-and-lease-term drivers of conventional commercial real estate. This page is the hub for the Knowledge Centre's data centre financial modelling content: how colocation, hyperscale, and enterprise business models each require a distinct model architecture, how rack revenue and occupancy are decomposed into their separable underlying drivers, and how capacity planning and financial KPIs tie the model together, as this domain expands to cover operations, revenue, investment, and governance practice across the sector.
MW Under Management
MW under management is the total critical IT load capacity, expressed in megawatts, that a data centre operator has built and is operating across its portfolio, whether or not that capacity is currently leased. It is the core scale metric for a data centre operator, broadly analogous to assets under management in other capital-intensive, capacity-based sectors, and should always be read alongside utilisation rate rather than in isolation.
Power Usage Effectiveness (PUE)
Power usage effectiveness (PUE) is calculated as total facility power divided by critical IT load power, with a value approaching 1.0 indicating that nearly all power consumed is delivered to IT equipment rather than lost to cooling, power distribution, and other non-IT overhead. PUE is the standard industry measure of data centre power efficiency, and because power is typically one of the largest operating cost categories, a facility's PUE directly drives its power cost per unit of billable capacity and, in turn, its profitability.
Rack Revenue Models
Rack revenue is the core billing unit of colocation data centre revenue, priced per rack, per kW of committed power, or a hybrid of the two, with premium pricing for higher-density racks. This guide sets out the mechanics of rack-based pricing, density tiering, and how to model power draw billing and contract escalation without conflating them into a single blended average rate per rack.
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.