03Hotel Performance Analysis
When Revenue Grows but Profitability Doesn't
Operational Performance Analysis — MSc Strategic Hotel Management
Why can revenue grow while profitability falls?
Q3
peak revenue, negative margin — in both hotels
60-second analyst brief
Full analysisSix parts
Context & Question
The situation, and the decision it demanded.
“If revenue increased, why did profitability collapse?”
Two simulated concepts — EASE (limited-service) and LUM (luxury full-service) — tracked across four quarters of revenue, payroll, covers and cost data.
Approach
How the problem was worked.
Read the concepts against each other, quarter by quarter, asking one question of every line: does this cost move with demand, or against it?
Interactive Analysis
The evidence — investigate it.
- Quarterly departmental revenue and income for both concepts
- F&B margin against cost of sales, payroll and other expenses
- Covers and average check — the demand behind the revenue line
- Customer mix and its effect on spend per cover
- Staffing alignment — payroll committed vs covers delivered
- Forecast variance — where the plan and the quarter disagreed
Quarterly performance · two concepts
Demand → labour → margin. Follow the chain.
EASE — Limited-service concept · Revenue (£k)
Illustrative figures from the simulated academic dataset — to be validated against source data
In Q3 both hotels posted their highest revenue — and their only losses. Payroll had been committed ahead of demand.
Insight
What the evidence revealed.
“Revenue peaked in the same quarter profitability failed. Labour had been committed ahead of demand, exposing the margin when actual demand arrived differently from forecast.”
Recommendation
What should happen, and why.
Align staffing to demand curves
Review labour productivity weekly
Manage margin alongside revenue
What This Demonstrates
The capabilities behind the case.
Revenue growth alone is not operational health — labour productivity, cost structure and demand alignment decide whether revenue becomes profit.
If I took this analysis further…
Test service-period labour models
Validate demand drivers against actual staffing
Extend profitability analysis by customer segment