FinToolSuite

RevPASH Calculator

Updated April 17, 2026 · Financial Health · Educational use only ·

Seat revenue efficiency.

Calculate RevPASH (Revenue Per Available Seat Hour) for restaurants and hospitality venues. Enter seats to see revpash from total revenue and seats.

What this tool does

This tool calculates RevPASH from total revenue, seats, and service hours.


Enter Values

Formula Used
Revenue
Seats
Hours

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Disclaimer

Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.

RevPASH (Revenue Per Available Seat Hour) is the restaurant/hospitality equivalent of hotel RevPAR. It measures how effectively seating capacity generates revenue. Formula: total revenue ÷ (seats × operating hours). Higher RevPASH means the restaurant extracts more value from its fixed seating capacity.

80-seat restaurant, 12 operating hours, 15,000 daily revenue. RevPASH = 15,000 ÷ (80 × 12) = 15.63/seat-hour. That's solid for casual dining. Fine dining might hit 30-50/seat-hour (higher price, longer dwell); fast casual 8-15 (lower price, faster turnover).

RevPASH improvement levers: reduce average meal duration (faster turnover = more covers per hour), increase average check size (upselling, menu engineering), improve off-peak utilisation (happy hour, early-bird specials). Best restaurants optimise all three simultaneously. Even 10% RevPASH improvement adds meaningful annual revenue.

Run it with sensible defaults

Using total revenue of 15,000, seats of 80, service hours of 12, the calculation works out to 15.63. Nudge the inputs toward your own situation and the output recalculates instantly. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Total Revenue, Seats, and Service Hours — do not pull with equal force. Not every input has equal weight. Flip one at a time toward extreme values to feel which ones move the needle most for your situation.

How the math works

RevPASH = total revenue ÷ (seats × service hours). The working is transparent — you can verify every step yourself in the formula section below. No black box, no opaque "proprietary model".

Using this as a check-in

Re-run this every three months. A single reading tells you where you stand; four readings tell you whether things are improving. The trend matters more than any individual snapshot.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.

Example Scenario

£15,000 £ ÷ (80 × 12 hours) = $15.63.

Inputs

Total Revenue:15,000 £
Seats:80
Service Hours:12
Expected Result$15.63

This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.

Sources & Methodology

Methodology

RevPASH = total revenue ÷ (seats × service hours).

Frequently Asked Questions

What's a good RevPASH?
Fast casual: 8-15. Casual dining: 12-20. Premium casual: 18-30. Fine dining: 30-60+. Depends on price point, dwell time, and turnover rate. Compare to similar-format restaurants in your area.
How to improve RevPASH?
Three levers: 1) Faster table turn (45 mins fast casual, 90 mins dining), 2) Higher check average (upselling, premium items, drinks), 3) Off-peak utilisation (happy hours, early-bird, events). Each 10% improvement on any lever adds 3-4% to RevPASH.
RevPASH vs covers?
Covers (customers served) is volume. RevPASH is revenue efficiency per capacity unit. A restaurant serving 200 covers with low check average can have lower RevPASH than one serving 100 covers at high check. Both metrics needed for full picture.
Does this work for bars?
Yes, same concept. Bars typically have higher RevPASH than restaurants (drinks are faster to serve, higher margin). Standing-only venues have effectively infinite seat hours - use standing capacity instead. Nightclubs track Rev per sq ft per hour instead.

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