Billboard Income Calculator
The formula
What the the 4% asset class tells you
Outdoor advertising: long leases, tiny footprints, ground rents as percentage — NOI per square foot is the highest in CRE.
Calculation: NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes. Enter your inputs and every substitution is shown below the result.
Reading the result
6 faces at 2,400 with a 15% ground lease = ~120k NOI on a quarter-acre footprint.
Rules of thumb: Static 800–4,000 MPF; digital 2,500–15,000
Limitations and best practice
grandfathered permits are the asset; repositioning or a new owner can lose sign rights entirely.
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
Digital conversion?
Lease terms?
Who buys these?
Source & methodology
OOA outdoor advertising economics.
Billboard Income: the number, the method and the caveats
Gross figures are marketing; net figures are reality — this page computes the distance between them. Searchers land on a Billboard 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.
It helps to separate the mechanics from the interpretation. The mechanics are fixed: NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes. Anyone, anywhere, entering the same inputs will get the same $110,112. The interpretation is where experience counts: whether $110,112 is good, normal or alarming depends on comparisons covered below, and that is the part most articles about Billboard Income never explain.
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.
What makes a calculation page trustworthy is that its copy is derived from its own arithmetic: here annual NOI = $110,112, recomputed every time a field changes, and the sensitivity section ranks the inputs that move the result — Faces owned first, at ≈12.1 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.
How Billboard Income is computed, line by line
Here is the complete model this tool runs — NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Faces owned (example value 6) is a plain measured quantity — the unit shown in the label is the unit the formula expects. Replace the example with the figure from your own records — the tool recomputes instantly and the printed steps follow your numbers.
Monthly per face ($) (example value 2,268) is a quantity rather than a category — precision here is cheap and worth having. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Unleased faces (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.
Annual upkeep/face ($) (example value 926) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.
Ground rent (% of revenue) (example value 15) is a measured number in the unit named by the label; the formula does not convert for you. Enter it exactly as your document states it — quoted annual, monthly and effective rates are three different numbers.
A fully worked Billboard Income example
Abstract formulas are hard to trust, so here is the complete substitution using the default inputs, written the way an examiner would want it. Starting figures: Faces owned, Monthly per face ($), Unleased faces, Annual upkeep/face ($). Run to the end, the annual NOI resolves to $110,112 — Billboards are the cap-rate kings of CRE — 15% ground rent plus 3–5% cap rates is why landlords become billboard owners on the bands this tool uses.
- 5 × $2,268 × 12 = $136,080
- − ground $20,412 − upkeep $5,556
- NOI = $110,112
Gross advertising rent — $136,080. If your inputs change, this is usually the first companion figure to move.
Ground lease — $20,412. If your inputs change, this is usually the first companion figure to move.
Per-face NOI — $22,022. This is the number experienced users quote when the headline alone would mislead.
Value at 4% cap — $2,752,800. This is the number experienced users quote when the headline alone would mislead.
Re-running with your own figures is instant; re-running by hand once is the best way to know the tool is telling you the truth.
The Billboard 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?
| Faces owned setting | Annual NOI |
|---|---|
| 80 % of the example value | $83,463 |
| 90 % of the example value | $96,787 |
| example inputs | $110,112 |
| 110 % of the example value | $123,437 |
| 120 % of the example value | $136,761 |
The corridor runs from $83,463 to $136,761 across that band — which is the range worth planning inside rather than the single $110,112 point estimate. Reproduce it in the form above by editing Faces owned alone; the substitution steps will follow your figures exactly.
Where Billboard Income is fragile — and where it is not
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. Read it as a map of where Billboard Income is fragile — drawn for the example inputs, which is the map you want when deciding what to measure carefully.
- Faces owned: ten percent up gives $123,437, ten percent down gives $96,787 — ≈12.1 % of the annual NOI either way
- Nudge Monthly per face by ±10 % and Billboard Income lands between $98,545 and $121,679 (sensitivity ≈10.5 %)
- Unleased faces +10 % → Billboard Income = $107,799 · −10 % → $112,425 (the annual NOI shifts ≈2.1 %)
- Ground rent: ten percent up gives $108,071, ten percent down gives $112,153 — ≈1.9 % of the annual NOI either way
- Nudge Annual upkeep/face by ±10 % and Billboard Income lands between $109,556 and $110,668 (sensitivity ≈0.5 %)
Faces owned is the dominant lever here: ten percent either way moves the result by about 12.1 %, from $96,787 to $123,437. That is where a careless figure does the most damage, so check it against a source, and treat Monthly per face as the second priority (≈10.5 % per ten percent). Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
What a Billboard Income of $110,112 means in practice
The value above only becomes useful the moment you know what it is being measured against. The verdict attached to the default calculation — “Billboards are the cap-rate kings of CRE — 15% ground rent plus 3–5% cap rates is why landlords become billboard owners” — is one band on a ladder your own figure may sit somewhere else on. How much of that band is luck? On Faces owned alone ten percent either way covers $96,787 to $123,437. 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.
Related measures answer related questions, and the distinctions matter: Billboard Income is the quantity, Annual NOI is this tool’s reading of it, and the decision that follows belongs to neither of them separately.
The errors that quietly break a Billboard Income figure
Grandfathered permits are the asset; repositioning or a new owner can lose sign rights entirely. 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.
Reading Billboard Income as a promise rather than a conditional. Every number here is of the form “if these inputs, then this result”; when an input moves, the honest response is to recompute rather than to defend the old figure.
This model has its own particular trap: Faces owned carries ≈12.1 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
The subtlest error is answering the wrong question precisely. Confirm that annual NOI is actually the quantity your decision needs — the arithmetic is flawless either way, which is what makes the mistake invisible.
Billboard Income verification checklist
- Compare the result with one independent method or published benchmark.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Re-verify Faces owned against a source document — ten percent of error there moves the headline by ≈12.1 %.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
How to use the Billboard Income tool properly
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Billboard Income takes a minute to learn and applies to every input above.
Step 1 — start from evidence. The inputs behind Billboard Income are faces owned, monthly per face ($), unleased faces, annual upkeep/face ($), ground rent (% of revenue). Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
Step 2 — start from the case you can defend. Enter pessimistic-but-honest figures first; the optimistic run is a ceiling, not a plan. A conclusion that holds on conservative inputs holds everywhere. Half of a good calculation is knowing which input you would hate to be wrong about.
Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 4 — run the scenario trio. Expected, pessimistic, optimistic. The gap between pessimistic and expected is the number to plan against; the optimistic result is useful only as a ceiling. Compare the calculation to the rough guess you arrived with, and ask why they differ.
Step 5 — write the one-line memo. “Annual NOI = $110,112 on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. Note the assumption you are least sure about; that is where the real risk lives.
Who actually uses Billboard Income — and when
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. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.
Used properly this is a five-minute filter that saves weeks. Compute Billboard Income, reject what fails, and only then bring in the expensive analysis for the survivors. Most surprises in numbers are surprises about inputs, not about formulas.
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. Write the figure down before moving on; memory flatters whichever number you saw last.
Billboard Income — frequently asked questions
What affects Billboard Income the most?
The short answer: Faces owned. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the annual NOI recalculated — Faces owned moved it furthest, by roughly 12.1 % ($96,787 to $123,437).
Which matters more: monthly per face or faces owned?
Faces owned, by a factor of about 1.2. Concretely: ten percent on Faces owned is worth ≈12.1 % of Billboard Income, the same nudge on Monthly per face only ≈10.5 %. That ranking is re-computed for each page from that page’s own defaults.
What is a typical Billboard Income?
There is no honest universal average for Billboard Income, but there is a reference point: the defaults on this page produce $110,112 (Billboards are the cap-rate kings of CRE — 15% ground rent plus 3–5% cap rates is why landlords become billboard owners). Replace the inputs with your own and compare — that comparison is the useful meaning of “typical”.
How do I calculate Billboard Income by hand?
Use the stated model — NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes — and substitute in the order the tool prints (it starts from 5 × $2,268 × 12 = $136,080). On the example inputs the hand route lands on $110,112, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to Billboard Income if faces owned changes by 10 %?
On these inputs a ±10 % change in faces owned takes Billboard Income to $123,437 against the $110,112 example — around 12.1 % of the headline. The same test on every other field is in the sensitivity section.
Is the Billboard Income result of $110,112 good or bad?
The tool answers “what”, not “whether”: $110,112 carries the verdict “Billboards are the cap-rate kings of CRE — 15% ground rent plus 3–5% cap rates is why landlords become billboard owners” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
What affects Billboard Income the most?
Sensitivity depends on where you start, but the inputs Faces owned and Monthly per face ($) typically move Billboard 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.
Is $110,112 good for this property?
Goodness is comparative: run the same Billboard 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.
Digital conversion?
Digitals earn 2.5–5× static MPF but carry lamp replacement and electricity — still strongly accretive.
Lease terms?
Wall/ground 10–20 years with escalators; revenue share is the modern structure.
Is my data private on this page?
Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.
Key terms on this page
- Gross advertising rent
- $136,080 in the default Billboard Income calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Ground lease
- $20,412 for the Billboard Income worked case; it sits next to the main result because it carries context the headline leaves out.
- Per-face NOI
- $22,022 on the example inputs — a companion figure printed beside the headline of Billboard Income so that no result is read in isolation.
- Annual NOI
- The primary output of this tool: $110,112 for the default inputs, computed exactly from NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes.
- Worked example
- Every substitution in order, from the example inputs to $110,112 — the audit trail for the headline figure.
- Verdict band
- The plain-language label — here “Billboards are the cap-rate kings of CRE — 15% ground rent plus 3–5% cap rates is why landlords become billboard owners” — mapping the computed figure onto experience-based ranges for Real Estate & Property.
- Sensitivity (±10 %)
- How far the Billboard Income moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Where the Billboard Income model comes from
There is no black box on this page — the engine evaluates NOI = leased faces × 12 × MPF − ground rent − maintenance − taxes. Source of record: OOA outdoor advertising economics. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. Nothing is smoothed, weighted or adjusted behind the scenes; where judgement enters, this page says so and names the input responsible.
Next steps after the calculation
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.