ADR Calculator

What average daily rate measures

Average daily rate, usually abbreviated ADR, measures the room revenue earned for each paid room-night sold during a defined period. It is one of the standard commercial metrics used by hotels, resorts, motels, hostels, serviced apartments, and short-term rental operators. The calculation focuses on room revenue and paid occupancy, so it is best viewed as a pricing and room-mix indicator rather than a complete measure of property profitability.

The numerator and denominator must cover exactly the same dates. For example, a monthly room-revenue figure must be divided by room-nights sold during that same month. The denominator should exclude complimentary rooms, staff use, owner stays, vacant inventory, and rooms that generated no paid room revenue. The room-revenue input should normally exclude food and beverage, spa, parking, resort fees, and other ancillary departments so the result remains comparable.

Field-by-field input guidance

• Rooms revenue earned is the total room-only revenue for the reporting period. Enter a positive currency amount. Higher revenue raises ADR when rooms sold stays constant. Avoid mixing gross booking value with room revenue if the figure includes taxes, cleaning fees, or unrelated services.
• Number of rooms sold is the count of paid room-nights, not simply the number of reservations. A three-night stay contributes three room-nights. More rooms sold lowers ADR when revenue stays unchanged, although total revenue may still improve.
• Reporting period is the number of calendar days represented by the first two inputs. It does not change the core ADR formula, but it drives the daily revenue, rooms-sold-per-day, and occupancy-proxy outputs. Use the exact number of days in the selected reporting window.
• Average monthly room revenue supports the secondary estimate when paid-room data is unavailable. It should be a room-only monthly average from a representative period. Seasonality can make a single month misleading, so a trailing average may be more useful for planning.
• Rooms in the property is total physical room inventory used by the estimate. The estimate assumes revenue is spread across every room for every selected day, so it behaves more like room revenue per available room than true paid-room ADR.
• Days per month sets the monthly convention. Thirty days aligns with the common simplified estimate; 30.4375 represents the annual average; 28 or 31 can match a specific calendar month.

Understanding each result

Average daily rate is the primary result. A higher ADR means more room revenue per paid room-night, but “higher” is not automatically better. A rate increase that sharply reduces occupancy can weaken total revenue. Compare ADR with the property’s own prior periods, budget, market segment, day-of-week pattern, and competitive set rather than relying on a universal target.

Estimated ADR divides average monthly room revenue by rooms in the property and days in the selected month convention. Because the denominator includes all room-days rather than only paid room-nights, it is a conservative property-level revenue-density estimate. A large gap between actual ADR and this estimate often reflects less-than-full occupancy, different periods, or inconsistent revenue definitions.

Actual vs. estimate is the currency difference between the paid-room ADR and the property estimate. A positive value means actual revenue per sold room exceeds the full-inventory estimate. A negative value can occur when monthly revenue is comparatively strong, the actual period has discount-heavy room sales, or the two input sets represent different seasons.

Average room revenue per day spreads total room revenue across the reporting period. Rooms sold per day spreads paid room-nights across the same period. The implied occupancy proxy divides rooms sold per day by property rooms. It is only reliable when property rooms and the reporting-period room sales refer to the same inventory and dates.

Reading the chart and sensitivity table

The comparison chart uses the same live model as the result cards and Excel export. It displays actual ADR and the monthly-revenue estimate on a common dollar scale. The legend and compact data table show the exact plotted values. If the inputs are empty or invalid, the visual is replaced with an explanatory empty state rather than a decorative placeholder.

The scenario table changes one driver at a time. Increasing revenue by 10% increases ADR by 10% when rooms sold is unchanged. Increasing rooms sold by 10% reduces ADR because the same revenue is spread across more paid room-nights. These rows help identify mathematical sensitivity; they do not model demand response, price elasticity, channel mix, cancellations, or operational constraints.

Practical interpretation and common mistakes

ADR should be reviewed alongside occupancy and revenue per available room (RevPAR). The relationship is commonly expressed as RevPAR = ADR × occupancy rate. A property can report a strong ADR but weak RevPAR when too few rooms sell. Conversely, a high-occupancy period can produce disappointing ADR if heavy discounting compresses room revenue. The CoStar/STR explanation of ADR and the Investopedia overview of RevPAR provide useful context for combining these measures.

Common errors include counting reservations instead of room-nights, including complimentary rooms, mixing net and gross revenue, comparing periods with different seasonality, and using total hotel revenue rather than room revenue. For broader industry terminology, see the Investopedia ADR guide. For a formal research perspective on ADR and lodging property value, consult the hospitality research record hosted by CORE.

This calculator is an analytical aid, not financial, tax, legal, accounting, or investment advice. Validate definitions against your property-management system and reporting policies before using the figures for external reporting.