RevPASH (Revenue per Available Seat Hour)
RevPASH (revenue per available seat hour) measures how much revenue a restaurant generates for each seat during each hour it is open — total revenue divided by available seat hours. It exposes the true efficiency of a dining room by combining table turnover with spend, helping operators spot underperforming dayparts that raw sales totals hide.
RevPASH: revenue per available seat hour
RevPASH measures how efficiently a restaurant turns its seating capacity into revenue. The formula is simple: total revenue divided by available seat-hours (seats multiplied by the hours they’re available). It combines two things most metrics look at separately — how fast you turn tables and how much each guest spends.
Why it beats covers or check average alone
A high average check with slow turns can produce the same RevPASH as a low check with fast turns — but the metric forces you to see capacity as a perishable asset. An empty seat at 7pm on Saturday is revenue you can never recover, which is why RevPASH is most revealing when you break it down by daypart.
Used over time, it shows whether menu changes, pacing, or reservation policy are actually improving how hard your dining room works.
Frequently asked questions
How do you calculate RevPASH?
Divide total revenue for a period by available seat-hours in that period (number of seats × hours open). For example, 100 seats open for 5 hours is 500 seat-hours; $5,000 in revenue over that window is a RevPASH of $10.
Why is RevPASH useful for restaurants?
It treats seating capacity as a perishable asset and blends turnover with spend into one number. That makes it ideal for spotting weak dayparts and testing whether pacing, menu, or reservation changes actually improve dining-room efficiency.
Bloom turns guest data into recovered revenue — an average of $53,000+ per location a year.
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