When preparing a hotel investment's feasibility, the table everyone wants to see is roughly the same: high occupancy, a good room rate, controlled expenses, high profitability, and a short payback period. On paper the investment looks quite nice.
But in real life things don't always go as planned. Occupancy can be lower than expected. You might have to lower room rates. Construction budget can be exceeded. Opening can be delayed. Staff costs can rise. A new competitor can appear. Low season can last longer than expected. Financing cost can change.
This is why a good feasibility study doesn't only answer "What do I earn if this investment goes well?" One of the real key questions is: "What happens if things don't go as well as I hope?"
1. A bad scenario isn't pessimism
Preparing a bad scenario doesn't mean thinking the investment is bad. On the contrary, it's an attempt to understand how resilient the investment really is. An investment being very profitable at 75% occupancy is a nice result. But if you don't know what happens at 60% occupancy, you actually don't fully know the investment's risk.
So a bad scenario is prepared not to make the investment look bad, but to see its real risk.
2. The biggest mistake: trusting a single number
A common approach in feasibility studies: 70% occupancy, 5,000 TL ADR, X TL annual revenue, 7-year payback. This table looks neat. But there's no guarantee occupancy will really be 70% in the future. Likewise, 5,000 TL ADR might not stay fixed either.
So instead of a single number, it's healthier to think of a range: pessimistic (50% occupancy, 4,000 TL ADR, high expenses, low profitability), realistic (60% occupancy, 4,500 TL ADR, normal expenses, medium profitability), optimistic (70% occupancy, 5,000 TL ADR, controlled expenses, high profitability). This table lets you see not just the investment's best case, but its behavior under different conditions.
3. In the bad scenario, look at occupancy first
One of the most important determinants of hotel revenue is occupancy. Say you have a 20-room hotel. You built your feasibility around 70% annual occupancy. Now ask yourself: "What happens if occupancy is 60%?" Then "What if it's 50%?"
This change directly affects annual room revenue. So profitability, cash flow, and the investment's payback period change too. Sensitivity analyses in hotel feasibility studies clearly show that changes in occupancy can seriously affect investment outcomes.
4. Also test ADR falling
A bad scenario isn't just about occupancy dropping. Sometimes you might need to lower the price to sell rooms. For example, say you assumed ADR = 5,000 TL in your feasibility. What if it's 4,500 TL? Or 4,000 TL?
Price pressure can build especially in more competitive markets. So occupancy and ADR should be tested together, not separately.
5. The worst scenario is sometimes "low occupancy + low price"
The real risk can show up here. For example, say the realistic scenario is 65% occupancy + 4,500 TL ADR, and the bad scenario is 50% occupancy + 4,000 TL ADR. Here two core revenue assumptions worsen at the same time.
So just asking "What happens if occupancy drops 10%?" may not be enough. A more realistic stress test would change occupancy + ADR + expenses together.
6. Don't forget expenses can also worsen
Building the bad scenario only around revenue is incomplete. Because as revenue drops, expenses can rise. For example, staff costs can rise, energy costs can go up, maintenance expenses can turn out higher than expected, the marketing budget can increase, supply costs can rise.
In such a situation, low revenue + high expenses happen at the same time. This is where the investment's real resilience is tested.
7. Construction cost is also part of the bad scenario
The feasibility you prepare before even building the hotel shouldn't rest on the assumption that costs are completely fixed. For example, a project you calculated at 40 million TL might rise to 44 million or higher. This could be due to project changes, material prices, labor, delays, or unexpected technical issues.
So the bad scenario should test not just operating performance, but investment cost too.
8. Also factor in a delayed opening
A hotel opening on the planned date isn't always possible. Permit processes, construction, supply, furniture, technical systems, and staff can all affect the opening date.
For example, say you planned to open your hotel in June. But the opening slipped to September. Especially in a seasonal destination, this effect can be huge. Because you don't just lose three months of revenue — other fixed costs like staff, rent, financing, and maintenance can also continue.
9. If you're using a loan, the bad scenario matters even more
We discussed equity and debt in the previous article. For an investor using debt, the bad scenario is much more critical. Because the hotel's revenue can drop, but the loan payment might not.
For example, loan payments might be comfortably covered at 70% occupancy. But the business could start running a cash deficit at 50% occupancy. So in debt-financed projects, the bad scenario must always be tested through cash flow + debt payments.
10. This is where you see whether working capital is sufficient
We discussed the importance of working capital in the previous article. The bad scenario shows very clearly why working capital is necessary. For example, in the realistic scenario the hotel might generate +2 million TL of cash in its first year. In the bad scenario it might produce a – 2 million TL cash shortfall.
In that case you need to ask: "Is my working capital enough to cover this shortfall?" If the answer is no, you may need to rethink the investment's financing structure.
11. The bad scenario shows the investment's "break-even point"
I think this is one of the most valuable results of a bad-scenario analysis. Try to find: "At what minimum occupancy does this hotel break even?" For example, at 52% occupancy, operating expenses, loan payments, and other fixed obligations might just be covered. In that case 52% is roughly your break-even occupancy.
This figure is very valuable for the investment decision. Because now instead of just asking "Will we hit 65% occupancy?", you can ask: "Is there enough safety margin between the market's realistic occupancy and my break-even occupancy?"
12. The bigger the safety margin, the more comfortable the investment
For example, if the break-even occupancy is 50% and the expected occupancy is 65%, there's a 15-point margin. This shows the investment has a certain buffer against poor performance. But if break-even is 63% and expected is 65%, there's only a 2-point gap. In that case the investment could struggle with even a small performance drop.
So you need to look not just at expected occupancy, but at the gap between expected occupancy and break-even occupancy.
13. What happens to payback period in the bad scenario?
An investment might pay for itself in 7 years. But this calculation might have been done only on the realistic scenario. In the bad scenario it could be 10 years. In some assumptions the investment might not be able to pay for itself within the expected time at all.
So the investor should ask not just "How many years is the payback period?" but also "How many years in the bad scenario?"
14. The bad scenario can change the investment decision
There's an important point here. After calculating the bad scenario, you can still say "I'll do it anyway." That's completely normal. But sometimes the conclusion can be "I shouldn't do this investment as it is."
Or decisions like "I should reduce room count," "I should find a cheaper property," "I should use less debt," "I should change the concept" can come up. This is where feasibility's real purpose lies. Not just confirming the investment decision — being able to change it.
15. The bad scenario shows you which variable matters most
Every investment has different sensitive points. In some hotels, occupancy is the most important variable. In others, ADR takes center stage. In others, construction cost or financing cost can be more critical.
Sensitivity analysis lets you see which assumptions the investment result depends on more heavily. Current hotel investment analyses also recommend stress-testing variables like ADR, occupancy, operating margins, capital expenditure, and financing separately.
16. Making everything bad at the same time isn't necessarily right either
There needs to be a balance here too. A bad scenario doesn't mean "everything will be bad." For example, building a completely extreme picture — 50% occupancy, 30% lower ADR, 40% higher expenses, 30% pricier construction, opening delayed by 12 months — usually doesn't make decision-making easier.
It's more meaningful to identify the risks that could plausibly happen, and test them separately or in reasonable combinations.
17. Building three scenarios can be a sufficient start
This trio is quite useful for your first feasibility study: Optimistic scenario — high occupancy, strong ADR, controlled expenses, on-time opening. Realistic scenario — normal occupancy, realistic ADR, expected expenses, planned opening. Pessimistic scenario — lower occupancy, lower ADR, higher expenses, delayed opening, higher financing burden.
Placing these three tables side by side makes the investment's character much clearer.
18. A bad scenario doesn't mean "don't invest"
I think there's an important mistake investors make here. After the bad-scenario result, you don't necessarily need to say "It's going badly, so this investment shouldn't be made." The real question should be: "How much do I lose in the bad scenario, and am I in a position to carry that loss?"
Because every investment carries some risk. What matters is that the risk is measurable, financeable, and manageable.
19. Don't confuse the bad scenario with a "disaster scenario"
It's useful to separate these two concepts. The bad scenario is a plausible, negative situation within the investment's reasonable bounds: lower-than-expected occupancy, lower ADR, higher expenses, a few months' opening delay.
A disaster scenario is a very extraordinary or unusual event: a major natural disaster, a long-term closure, or a completely unforeseeable extraordinary situation. Both risks can be thought about, but it's more meaningful to base the feasibility's core decision primarily on realistic downside scenarios.
20. Calculate the bad scenario before the investment decision
I think the timing of this exercise is the most important point. The bad scenario should be calculated not after the land is bought or construction has started, but before the investment decision is made.
Because once the investment has started, the land has been bought, the project has been done, money has been spent, the loan has been used. Seeing the bad scenario at that stage can be far more costly. Whereas before buying the land, you can ask "Does this investment still work at 50% occupancy?" If the answer is no, maybe the right decision is not to start the investment at all.
A simple example for a bad scenario
Say you calculated 20 rooms, 5,000 TL ADR, and a realistic 65% occupancy. Now let's build three tables: pessimistic (50% occupancy, 4,000 TL ADR, high expense level, opening delayed 3 months), realistic (65% occupancy, 5,000 TL ADR, normal expense level, on-time opening), optimistic (75% occupancy, 5,500 TL ADR, controlled expense level, on-time opening). Cash flow, payback period, and break-even occupancy are calculated for each scenario.
The goal here isn't making the table look pretty. It's finding at what point the investment breaks down. For example, if the business is losing money in the bad scenario, working capital isn't enough, loan payments can't be covered, or the investor keeps having to put in more money, you need to go back to the investment's financing structure.
Questions to ask yourself when calculating the bad scenario
That last question might be the most important of all.
Conclusion: A good investment isn't one that only works in the good scenario
In an investment's feasibility, it's easy to find the answer to "What do I earn if everything goes well?" The truly valuable work is finding the answer to "What happens if things don't go as well as I hope?"
Occupancy can drop. ADR can drop. Expenses can rise. Opening can be delayed. Financing cost can rise. The season can turn out worse than expected. None of these has to happen. What matters is knowing in advance how the investment will behave if some of them do.
Because the bad scenario doesn't just show you your risk. It also shows you how much working capital you need, how much debt you can use, at what occupancy you break even, how much safety margin you have, and how resilient the investment really is.
The table I'd most want to see in an investment decision: what do I earn in the optimistic scenario, what do I earn in the realistic scenario, what do I lose in the bad scenario? If you know the answer to all three, you're no longer just dreaming up an investment — you've measured its risk too.
And I think that's exactly a good feasibility study's most important job: telling you how much you can lose, as much as how much you can earn.
Hotel Investment Guide — Volume I
This article is a simplified web version of the feasibility approach within the Hotel Investment Guide — Volume I.
In Volume I's current narrative, investment feasibility should be built on core assumptions like total investment cost, room count, ADR, expected occupancy, annual revenue, staff and energy costs, and payback period.
So bad-scenario analysis is the natural continuation of seeing how these assumptions change the investment's outcome. Current hotel investment analyses also test occupancy, ADR, operating margin, and financing assumptions across different scenarios to understand under what conditions an investment becomes fragile.
Volume I is complete. Work continues on the rest of the book.