# Why RevPAR is the metric that runs a hotel
Two hotels sit across the street from each other. Both run 80% occupancy on a Tuesday night. One is quietly making money. The other is quietly losing it. Same city, same night, same guests walking past. The difference is not how full they are. It is how they got full.
That gap is the entire reason hotel finance revolves around a single metric: RevPAR.
Let's make the two hotels concrete. Each has 100 rooms. Each sold 80 rooms tonight, so both are at 80% occupancy.
Occupancy is identical. But Hotel A took in $20,000 in room revenue and Hotel B took in $12,000. Same building size, same headcount cleaning rooms, same front desk, same electricity bill. Hotel A just earned $8,000 more for roughly the same cost base.
If a general manager only reported occupancy, both hotels would look like they had a great night. One did. One did not.
Three metrics run every hotel P&L (profit and loss statement, the summary of revenue minus costs). You need all three, and you need to know how they connect.
ADR (Average Daily Rate): the average price actually paid per occupied room. If you sell 80 rooms for $20,000, your ADR is $250. ADR ignores empty rooms. It only measures what paying guests paid.
Occupancy: the percentage of available rooms that were sold. 80 rooms sold out of 100 available equals 80%.
RevPAR (Revenue Per Available Room): room revenue divided by *all* rooms, sold or not. This is the metric that ties the other two together.
Here is the relationship, and it is the most important equation in hotel finance:
RevPAR = ADR × Occupancy
Hotel A: $250 × 0.80 = $200 RevPAR
Hotel B: $150 × 0.80 = $120 RevPARSame occupancy. Hotel A's RevPAR is $200, Hotel B's is $120. RevPAR exposed in one number what occupancy hid entirely.
Occupancy alone lies because it treats a $500 room and a $50 room as the same "sold room." ADR alone lies because a hotel can post a stunning ADR while sitting half empty.
RevPAR refuses both lies. It spreads revenue across every room you own, whether you filled it or not. An empty room still cost you money to build and finance, so RevPAR forces that empty room into the math.
This is why hotel owners, brands, and analysts benchmark on RevPAR. It is the closest single number to "how well is this real estate performing." The industry data firm STR (now part of CoStar) built its entire benchmarking business around RevPAR and the RevPAR Index, which compares a hotel to its direct competitor set. You can read a clear primer on these definitions in STR's glossary of hotel performance terms.
Here is where finance and operations collide. Filling rooms *feels* like winning. The parking lot is full, the lobby is busy, the team is energized. So managers cut rates to push occupancy toward 100%.
The problem is what a discounted guest actually costs you.
Say Hotel B was at 80% (80 rooms) and wanted to hit 100%. To sell the final 20 rooms, it drops rate to $90. Those rooms generate $1,800 in revenue.
But each occupied room carries real variable cost: housekeeping labor, laundry, amenities, utilities, credit card fees, and often a channel commission (the fee paid to booking sites like Expedia or Booking.com, frequently 15% to 25% of the room rate). A commonly used estimate for the fully loaded cost to service one occupied room is somewhere in the $30 to $50 range, and it climbs once you add commissions on a discounted booking.
So a $90 room booked through a channel might net the hotel very little after commission and servicing cost. The manager "won" on occupancy and barely moved profit, while training price-sensitive guests to expect $90.
Now flip it. Raising ADR does not add housekeeping cost. A room sold at $250 instead of $150 costs the same to clean. That extra $100 is nearly pure contribution margin (revenue left after variable costs, which flows toward covering fixed costs and profit).
This is the core financial truth of hotels: occupancy gains cost money to produce; rate gains are almost free. That asymmetry is why chasing occupancy alone quietly bleeds margin, and why revenue managers guard rate so fiercely.
🎬 [VIDEO: "Hotel Revenue Management Explained" — youtube.com — a short, plain-English walkthrough of how RevPAR, ADR, and occupancy drive hotel pricing decisions]
Because RevPAR blends price and volume, it forces a trade-off conversation instead of a blind chase.
Imagine a Thursday forecast. You can either:
The second option has *lower* occupancy but *higher* RevPAR, and it services 15 fewer rooms, so its cost base is lighter too. Higher RevPAR and lower cost usually means more profit. A manager watching only occupancy would pick the wrong one.
This is exactly the calculation modern revenue management systems automate, adjusting prices continuously based on demand, day of week, events in town, and competitor rates.
Vérification des acquis
1. Why can two hotels with identical occupancy rates have very different financial performance on the same night?
2. What does RevPAR fundamentally capture that ADR and occupancy each miss on their own?
3. A general manager reports only occupancy to headquarters. What is the central risk of this practice?
4. Select ALL correct answers about how ADR, occupancy, and RevPAR relate.
Sélectionnez toutes les réponses correctes.
5. Select ALL correct answers about why RevPAR is treated as the metric that runs a hotel.
Sélectionnez toutes les réponses correctes.
RevPAR is powerful, but it is not the whole picture. Finance-literate professionals should know its blind spots.
A full-service hotel makes money on food and beverage, meetings and events, spa, parking, and resort fees. RevPAR sees none of it. A hotel can grow RevPAR while its restaurant and banquet business collapses.
That is why analysts increasingly look at TRevPAR (Total Revenue Per Available Room), which captures all revenue streams per available room, not just rooms.
Two hotels can post identical RevPAR while one sells mostly through its own website (cheap) and the other mostly through commissioned channels (expensive). Same RevPAR, very different profit.
This gap gave rise to NetRevPAR, which subtracts distribution and channel costs before dividing by available rooms. It answers "what did we actually keep," which is what an owner truly cares about.
The metric that connects rooms performance to actual profit is GOPPAR (Gross Operating Profit Per Available Room): gross operating profit divided by available rooms. GOPPAR is harder to game because you cannot buy it with discounts. If you slash rates to fill rooms, RevPAR might hold up but GOPPAR sags as costs rise.
A useful way to think about the hierarchy:
RevPAR is where you start because it is simple, comparable across hotels, and available everywhere. The others tell you whether the RevPAR is *healthy* or *bought with discounts and commissions*.
Return to Hotel A ($200 RevPAR) and Hotel B ($120 RevPAR). Hotel B's manager might be tempted to close the gap by pushing occupancy to 95% with deep discounts. That would nudge RevPAR up slightly while adding servicing cost, channel commissions, and long-term rate erosion.
The RevPAR-literate manager does the opposite: protects rate, accepts a few empty rooms, and grows the number that actually correlates with profit. Empty rooms sting emotionally. Cheap rooms bleed financially. RevPAR helps you tell those two situations apart.