Hospitality
RevPAR is the number everyone quotes, but it is an output. The real question is which model the company runs: owning hotels, leasing them, or managing someone else's. Those three earn completely different margins on completely different capital.
Branded supply in India remains scarce — roughly 216,000 chain-affiliated rooms against a ~3.4 million-key lodging universe. That scarcity, especially in luxury, is what sustains pricing power for established platforms.
A large lodging universe, a small branded one.
~3.4mn keys
The whole lodging universe as of March 2024 — overwhelmingly unbranded.
~216,000 rooms
Chain-affiliated inventory in CY2025, up ~7.8% YoY. A very small share of the total.
~30–32k keys
Around 15% of chain-affiliated inventory, only marginally above the ~29,000 branded luxury keys in FY24.
The supply picture supports pricing. Branded signings accelerated to roughly 51,647 keys in CY2025, but the pipeline skews toward tier 2 and tier 3 markets. That means premium and luxury supply in core business and leisure markets should stay tight — which is the structural argument for sustained pricing power among established platforms.
Three business models
- OwnerOwns the asset and takes the full operating result — and the full capital burden.
- ManagerOperates for a fee. Low variable cost, high incremental margin, minimal capital.
- FranchisorLicenses the brand for royalty and marketing fees. The lightest model of the three.
Portfolio composition to establish
- Owned · JV · leased · managed · franchised · revenue-share
- 5-star, 4-star, 3-star, budget
- Resorts, heritage properties, service apartments
- Any commercial property alongside the hotels
Many Indian owners outsource branding to Marriott, IHG or Hyatt and pay a royalty on top line — so an "owner" may still be paying away brand economics.
Two entirely different P&Ls.
Hotel unit economics (owned / leased / revenue-share)
Room revenue = Room nights sold × ADR
Total hotel revenue = Room revenue + F&B + other
Contribution = Total revenue − variable costs
(housekeeping consumables, F&B cost, OTA commissions, occupancy-linked power)
Hotel EBITDA = Contribution − fixed costs
(staff, lease rentals, baseline utilities, property taxes, repairs, corporate overhead allocation)
Management / franchise economics
Management: base fee + incentive fee
Franchise: royalty + marketing fees
Variable costs are low, so incremental margin is high.
But it depends on owner acquisition cost, brand and quality support, and central overhead — a fee business still has to fund the platform behind it.
This is why a manager and an owner should never be valued on the same multiple. One is a capital-intensive property business with operating leverage; the other is an asset-light annuity on someone else's capital.
Location, model mix, and direct demand.
Scarce locations
Airport zones, business districts and beachfront parcels in supply-constrained markets carry structurally higher ARR and margin. Land bought well is most of the return in an owned model.
The right model mix
Owned assets capture the upside of a strong cycle; managed and franchised keys grow the platform without capital. The blend determines both the return profile and the cyclicality.
Direct booking share
OTA commissions are a permanent deduction from contribution. A high direct-booking share and genuine loyalty repeat business is worth several points of margin.
What to answer before underwriting.
- →Count by model. How many keys are owned, JV, leased, managed and franchised — and what star rating and property type sits in each?
- →Owner or asset manager? If the model includes turning around underperforming hotels, what is the conversion time, and how does the split with the landlord work?
- →Brand economics. Is branding outsourced to a global chain, and what royalty on top line does that cost? Own versus third-party brand mix.
- →Fee rates. Franchise take-rate and management fee rate, split between base and incentive.
- →Direct versus OTA. Direct booking share and the OTA commission rate — a direct hit to contribution.
- →Minimum guarantee. What is the MGB on leased properties, and what happens to it in a weak year?
- →Foreign arrivals exposure. Where foreign guests are 35–40% of revenue, the book is exposed to FTA trends and global travel cycles.
- →Customer segments. IT sector, business, vacation, luxury — and the B2B versus B2C revenue split.
- →Pipeline and capex per key. Signings versus openings, keys under development, capex per key, and any inorganic acquisition plans.
- →City selection. Bangalore and Hyderabad look affordable versus Mumbai and Delhi — but ask directly about oversupply risk in exactly those high-growth cities.
- →Balance sheet. Debt reduction from any IPO or QIP proceeds, and remaining leverage against a cyclical revenue base.
- →Cost per occupied room. CPOR, and therefore the minimum rate at which the property is worth selling.
What to monitor, quarter by quarter.
| KPI | Calculation | Benchmark or read-through |
|---|---|---|
| RevPAR | Room revenue ÷ available rooms | The standard measure; decompose into ADR and occupancy |
| ADR | Room revenue ÷ rooms sold | ADR-led RevPAR growth is higher quality than occupancy-led |
| Occupancy | Rooms occupied ÷ rooms available × 100 | The volume half of RevPAR |
| Total RevPAR | Total revenue ÷ available rooms | Captures F&B and banqueting — how hard the whole asset works |
| GOP margin | (Hotel revenue − operating costs) ÷ revenue | Property-level operating discipline, before corporate allocation |
| CPOR | Gross operating expense ÷ rooms sold | Sets the minimum viable rate per room |
| Employee cost per key | Staff cost ÷ total keys | The main fixed-cost line; normalises across portfolio sizes |
| ALOS | Total room nights ÷ total bookings | Longer stays reduce turnover cost per night |
| Direct booking share | Direct ÷ total bookings | Every point shifted away from OTA is margin recovered |
| OTA commission rate | Commission ÷ OTA revenue | A permanent deduction from contribution |
| Fee revenue and take-rate | Fees ÷ gross hotel revenue managed | The asset-light engine; high incremental margin |
| Keys by model | Owned / leased / managed / franchised | Determines both return profile and cyclicality |
| Pipeline: signings vs openings | Keys signed, keys opened | Signings are intent; openings are revenue |
| Capex per key | Development cost ÷ keys added | The owned-model return driver |
| Foreign tourist arrivals exposure | Foreign guest revenue ÷ total | 35–40% at some operators — a distinct demand cycle |
| B2B vs B2C mix | Revenue split | Corporate contracts stabilise occupancy but cap ADR |
How the thesis breaks.
- !Oversupply in the growth cities. Bangalore and Hyderabad attract development precisely because they look affordable. New supply is the fastest way to break an ADR-led thesis.
- !Cyclicality against fixed cost. Owned and leased hotels carry heavy fixed costs into a downturn, and lease rentals do not fall with occupancy.
- !Occupancy-led RevPAR. Growth achieved by discounting into higher occupancy looks the same in the headline and is worth far less.
- !OTA dependence. High commission share permanently reduces contribution and weakens the direct customer relationship.
- !Foreign arrival shocks. Where FTAs drive 35–40% of revenue, a global travel disruption hits disproportionately.
- !Development execution. Capex programmes running into hundreds of crores per project carry cost and timing risk before a single room is sold.
- !Brand royalty drag. Outsourced branding takes a share of top line permanently — an owner may be running the asset risk without the brand economics.
The figures, and where they stand.
| Metric | Value | Note | Basis |
|---|---|---|---|
| Total lodging universe | ~3.4mn keys | Overwhelmingly unbranded | Mar 2024 |
| Chain-affiliated rooms | ~216,000 | Up ~7.8% YoY | CY2025 |
| Luxury share of branded | ~15% | ≈ 30,000–32,000 keys | CY2025 |
| Branded luxury keys | ~29,000 | Prior-year comparison | FY24 |
| Branded signings | ~51,647 keys | Pipeline skewed to tier 2 and tier 3 | CY2025 |
| Foreign guest revenue share | 35–40% | At operators with high FTA exposure | Research note |
| Minimum guarantee (leases) | MGB | Terms vary; confirm per property | Structural |