Data Center Income Calculator
The formula
What the the watt is the product tells you
Colocation revenue per kW-month, with PUE-scaled energy as the dominant opex line; hyperscale and retail differ wildly.
Calculation: Gross = MW × 1000 kW × rate × 12; NOI after energy-heavy opex. Enter your inputs and every substitution is shown below the result.
Reading the result
12 MW at 185/kW/mo is 26.6M gross; a 1.4 vs 1.2 PUE is a ~2.3M/yr energy spread.
Rules of thumb: Retail 150–250/kW/mo; 45–55% NOI margins
Limitations and best practice
Contracted vs ramped: the under-contract MRC schedule, not the sticker, is the underwriting.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Wholesale vs retail?
What is PUE exactly?
Water risk?
Source & methodology
DataCenterDynamics colocation pricing.
Data Center Income explained: formula, worked example and honest limits
You are checking what an income number really means after the deductions and conversions are applied. Searchers land on a Data Center Income page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
In Real Estate & Property the same quantity is often quoted under two or three different conventions. The formula printed above fixes one convention and applies it consistently, which is what makes results from this page comparable with each other.
Every figure in the prose is generated by the engine rather than written beside it — the worked example resolves to annual NOI = $11,872,800 on the default inputs, and the sensitivity section ranks the inputs that move the result — Contracted MW first, at ≈10.0 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
Inside the Data Center Income calculation: formula and every input
Here is the complete model this tool runs — Gross = MW × 1000 kW × rate × 12; NOI after energy-heavy opex — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Contracted MW (example value 10) is a plain measured quantity — the unit shown in the label is the unit the formula expects. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Colocation $/kW/month (example value 194) is a measured number in the unit named by the label; the formula does not convert for you. Be precise about the boundary (exact date, start of month); time inputs decide the exponent in most formulas.
Power usage effectiveness (example value 1) is a measured number in the unit named by the label; the formula does not convert for you. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Opex % of gross (example value 49) is a measured number in the unit named by the label; the formula does not convert for you. Check the convention first: if the source says “6.5 % per year”, type 6.5 and let the formula do the rest.
Data Center Income on the example inputs: the complete substitution
Abstract formulas are hard to trust, so here is the complete substitution using the default inputs, written the way an examiner would want it. Starting figures: Contracted MW, Colocation $/kW/month, Power usage effectiveness, Opex % of gross. The computed annual NOI comes out at $11,872,800, which the interpretation band labels “At this rate and 1.4 PUE, every wasted watt is $97.78 in power that never reached a customer — efficiency is the margin”.
- 10 MW × 1,000 × $194 × 12 = $23,280,000
- − 49% opex → NOI $11,872,800
- Cap-rate frame → $169,611,429
Gross annual — $23,280,000. Compare it against the main result of $11,872,800 before drawing conclusions.
Energy spend (30%×PUE) — $9,777,600. This is the number experienced users quote when the headline alone would mislead.
$/kW/month net — 98.9 $. This is the number experienced users quote when the headline alone would mislead.
Value at 7% cap — $169,611,429. If your inputs change, this is usually the first companion figure to move.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
The Data Center Income corridor: your result across a realistic band
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Contracted MW setting | Annual NOI |
|---|---|
| 80 % of the example value | $9,498,240 |
| 90 % of the example value | $10,685,520 |
| example inputs | $11,872,800 |
| 110 % of the example value | $13,060,080 |
| 120 % of the example value | $14,247,360 |
Across 5 settings of Contracted MW, the result spans $9,498,240 to $14,247,360. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Contracted MW alone; the substitution steps will follow your figures exactly.
What actually moves your Data Center Income
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the annual NOI was recalculated from scratch. It is the fastest honest answer to “what matters most in Data Center Income?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Contracted MW +10 % → Data Center Income = $13,060,080 · −10 % → $10,685,520 (the annual NOI shifts ≈10.0 %)
- Colocation $/kW/month: ten percent up gives $13,060,080, ten percent down gives $10,685,520 — ≈10.0 % of the annual NOI either way
- Opex % of gross: ten percent up gives $10,732,080, ten percent down gives $13,013,520 — ≈9.6 % of the annual NOI either way
Contracted MW is the dominant lever here: ten percent either way moves the result by about 10.0 %, from $10,685,520 to $13,060,080. Measure that input from a document rather than from memory, and Colocation $/kW/month is effectively tied with it (≈10.0 % for the same nudge), so verify the pair together. The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.
Interpreting the Data Center Income verdict
The value above only becomes useful the moment you know what it is being measured against. The verdict attached to the default calculation — “At this rate and 1.4 PUE, every wasted watt is $97.78 in power that never reached a customer — efficiency is the margin” — is one band on a ladder your own figure may sit somewhere else on. Before treating the band as fact, note its width: ten percent either way on Contracted MW already spans $10,685,520 to $13,060,080. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
In Real Estate & Property, Data Center Income is one instrument in an orchestra: on its own it is a number, next to Gross annual and Energy spend (30%×PUE) it becomes a diagnosis. The tools linked above exist so the headline never has to carry that weight alone.
How people get Data Center Income wrong
Contracted vs ramped: the under-contract MRC schedule, not the sticker, is the underwriting. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Chasing precision in Colocation $/kW/month while Contracted MW is still a guess. The sensitivity ranking above shows exactly where the accuracy budget should go.
One mistake is specific to this engine: assuming every input matters equally. The computation above shows Contracted MW dominating — a careful figure there beats false precision everywhere else.
Another is comparing across contexts: a Data Center Income computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
Six things to confirm before acting on Data Center Income
- Compare the result with one independent method or published benchmark.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Check Contracted MW before anything else: it is the measured dominant input, ≈10.0 % of Data Center Income per ten percent.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Confirm the answer against one independent method or published benchmark for Data Center Income.
Step by step: getting a trustworthy Data Center Income out of this tool
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — one document, one pass. Open the statement, label or record that holds contracted mw, colocation $/kw/month, power usage effectiveness, opex % of gross and transcribe straight into the form. Transcription from a single source removes the mismatch errors that appear when figures are assembled from three different places. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
Step 2 — baseline before exploration. Get one defensible Annual NOI on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. A figure nobody can reproduce is a figure nobody will act on twice.
Step 3 — play with the inputs on purpose. Ten percent up, ten percent down, one field at a time. Within a few minutes you will know this calculation better than most people who quote its results. The point of transparency is that a reader can disagree with a specific line rather than with you.
Step 4 — compute a corridor, not a point. Three runs — worst, likely, best — turn Data Center Income from a snapshot into a range. Plan against the pessimistic end and treat the optimistic end as the upside story. Rounding early is the quietest way to introduce a permanent error.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record $11,872,800, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. Numbers are cheap to produce and expensive to retract; the extra minute is the cheapest insurance available.
Where Data Center Income matters in practice
In Commercial Real Estate the figure computed here is usually the first one somebody asks to see. Having it — with the formula behind it — changes your position in the conversation from participant to reference. Rounding early is the quietest way to introduce a permanent error.
The companion outputs — Gross annual and Energy spend (30%×PUE) — exist for the second stage of that screen: the headline sizes the prize, while the companions describe the trade-off you are accepting to get it. When in doubt, prefer the boring input: the interesting one is usually the one you misread.
Nothing here is stored or transmitted, so the habit of checking is free: open the page, re-enter current figures, compare with the number you saved last time. Compare the calculation to the rough guess you arrived with, and ask why they differ.
Quick answers: what searchers ask about Data Center Income
What affects Data Center Income the most?
Data Center Income is driven above all by Contracted MW. Perturbing only that field by ten percent either way produced $13,060,080 against the $11,872,800 baseline — a ≈10.0 % response, while Colocation $/kW/month manages ≈10.0 %.
Do colocation $/kw/month and contracted mw matter equally?
Effectively. Measured on this engine they land at ≈10.0 % and ≈10.0 % for the same ten-percent nudge, so the honest advice is to get both right; chasing precision in only one of them buys almost nothing.
What is a typical Data Center Income?
On the worked example above Data Center Income comes out at $11,872,800. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Data Center Income by hand?
Three steps: write the formula (Gross = MW × 1000 kW × rate × 12; NOI after energy-heavy opex), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about Data Center Income than any number of calculator runs.
What happens to Data Center Income if contracted mw changes by 10 %?
On these inputs a ±10 % change in contracted mw takes Data Center Income to $13,060,080 against the $11,872,800 example — around 10.0 % of the headline. The same test on every other field is in the sensitivity section.
Is the Data Center Income result of $11,872,800 good or bad?
The tool answers “what”, not “whether”: $11,872,800 carries the verdict “At this rate and 1.4 PUE, every wasted watt is $97.78 in power that never reached a customer — efficiency is the margin” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
Is $11,872,800 good for this property?
Goodness is comparative: run the same Data Center Income across several candidates and rank. Absolute thresholds exist by region and product type, so pair the verdict band here with a quick survey of the Commercial Real Estate comps you can actually access.
What affects Data Center Income the most?
Sensitivity depends on where you start, but the inputs Contracted MW and Colocation $/kW/month typically move Data Center Income further than the rest because they enter the formula multiplicatively. If you can only measure two things well, measure those and hold the others at conservative defaults.
Wholesale vs retail?
Wholesale hyperscale ~90–140/kW flat, huge blocks; retail 160–350 with cages, power, cross-connects.
What is PUE exactly?
Total facility energy ÷ IT energy; 1.2 is excellent, 1.6+ quietly kills your NOI.
Do I need an account to use this Data Center Income calculator?
No, and no data leaves the tab. The engine runs in the page itself, which is why the worked example, the bands and the sensitivity ranking all respond instantly to your keystrokes.
Key terms on this page
- Gross annual
- $23,280,000 in the default Data Center Income calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Energy spend (30%×PUE)
- $9,777,600 on the example inputs — a companion figure printed beside the headline of Data Center Income so that no result is read in isolation.
- $/kW/month net
- 98.9 $ for the Data Center Income worked case; it sits next to the main result because it carries context the headline leaves out.
- Annual NOI
- The primary output of this tool: $11,872,800 for the default inputs, computed exactly from Gross = MW × 1000 kW × rate × 12; NOI after energy-heavy opex.
- Worked example
- Every substitution in order, from the example inputs to $11,872,800 — the audit trail for the headline figure.
- Verdict band
- The interpretation attached to a result (“At this rate and 1.4 PUE, every wasted watt is $97.78 in power that never reached a customer — efficiency is the margin” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Data Center Income moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Method, sources and what this tool cannot tell you
Everything above runs on one stated formula, applied without hidden coefficients: Gross = MW × 1000 kW × rate × 12; NOI after energy-heavy opex. Source of record: DataCenterDynamics colocation pricing. Where a professional version of this calculation differs, it differs in inputs and jurisdiction-specific coefficients, not in the algebra — which is why re-checking your inputs beats hunting for a second calculator.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
What to do with your Data Center Income next
Re-run at your actual tax and deduction figures rather than the defaults; the gap between them is your real take-home.
The audience here is workers and employers working out what money actually arrives. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.