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REALSTATERESIDENTIAL PROPERTY & DESIGN
REALSTATERESIDENTIAL PROPERTY & DESIGN
Hospitality

RevPAR, ADR, GOPPAR: what each metric actually tells an operator

Each number answers a different operating question — and reading them without their partners hides more than it shows.

Peter Almeida, · July 9, 2026 · 4 min read
Housekeeping cart in unbranded hotel corridor

RevPAR is revenue per available room — the industry's core top-line metric, calculated by dividing room revenue by available rooms, or equivalently by multiplying occupancy by ADR. It is the number most quoted in earnings releases and most misread in operations, because it says nothing about costs, mix, or how much of the revenue the property keeps. The metric family around it — ADR, RevPAR, GOPPAR — exists because each answers a different operating question, and every one carries its period and source.

Delta Quattro publishes trade analysis, not financial advice; figures below are attributed to their named sources with period.

What does ADR tell you — and what does it hide?

ADR, average daily rate, is room revenue divided by rooms sold. It answers a pricing question: what the property charged per occupied room night. What it hides is mix — a rising ADR can mean higher published rates, or simply that the cheap channels stopped selling.

ADR always moves with the mix of business. A group-heavy month can lift ADR while total revenue falls, because group rates often sit above transient discounts but displace higher-yielding bar business. Operators read ADR next to segmentation data before crediting pricing strategy.

The channel split matters as much as the number: an ADR earned through direct bookings and an ADR earned through commissions are not the same contribution. Net ADR after acquisition cost is the number the P&L actually sees.

What does RevPAR add — and where does it fail?

RevPAR folds occupancy and rate into one top-line measure: revenue per available room, whether sold or not. It answers a demand question — how hard the fixed inventory worked. A property can hold RevPAR flat while trading rate for occupancy, which is why the decomposition matters.

RevPAR's known failure is scope: it counts room revenue only. F&B, spa, parking, and resort-fee income are invisible to it — a structural gap for full-service and resort properties where ancillary revenue can exceed a quarter of total revenue, per benchmarking studies from research firms such as STR's parent CoStar. And RevPAR ignores cost entirely: two properties at identical RevPAR can sit worlds apart on profit.

What does GOPPAR fix?

GOPPAR — gross operating profit per available room — divides gross operating profit by available rooms. It answers the owner's question: what the whole property earned per unit of fixed inventory, after operating costs. It is the metric that survives contact with the P&L.

GOPPAR exposes what RevPAR flatters. Labor cost inflation moves straight through it: U.S. hotel labor costs rose faster than room revenue in the post-2020 recovery years, compressing GOPPAR margins at properties that held rates, per CoStar/STR trend analyses. A property can grow RevPAR and lose GOPPAR ground — the signature of cost-side pressure that top-line reporting never shows.

How do the three read together?

Each pairing diagnoses something specific:

PatternLikely readingCheck next
ADR up, occupancy down, RevPAR flatRate discipline holding, demand softSegmentation and competitive-set RevPAR indices
Occupancy up, ADR downBuying volume with discountsNet ADR after channel costs; GOPPAR trend
RevPAR up, GOPPAR flatRevenue growth absorbed by costsLabor cost per occupied room; utilities
All three upGenuine demand strength — or a supply shock nearbyCompetitive set and pipeline data

The table reads only in context of the property's competitive set — the same firms' benchmarking products exist because an absolute number without a set index is close to meaningless.

What should a manager watch monthly?

The habit that separates useful reporting from wallpaper: every metric read with its period, against its competitive set, and decomposed into its inputs before any conclusion is drawn. Numbers first, story second — the reverse order is how bad pricing decisions get made.