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023

Case 023Project and real asset financeHard

You are rating an airport's debt. Compute its debt service cover, stress traffic down 30%, and say what else you would examine before assigning a rating.

Moody'sNew York · 2018

1The situation

Suravel Airport Company operates a single airport under a long-term concession. It handles 1.2 crore passengers a year and earns Rs 350 per passenger in aeronautical charges, the landing, parking and passenger fees set under the regulator's tariff framework, and Rs 250 per passenger in other income from retail, food, parking and advertising.

Operating costs are Rs 300 crore a year and are largely fixed. Annual debt service is Rs 250 crore. Ignore tax and maintenance capital spending for the first pass, and treat both revenue streams as moving in line with passengers.

2Your task

What is the debt service coverage ratio today and with traffic 30% lower, and what else would you look at to rate the airport?

Quick check

Traffic falls 30%. Roughly what happens to debt service cover?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

Cover is 1.68x today and 0.82x if traffic falls 30%, because Rs 300 crore of fixed costs turn a 30% revenue fall into a 51% fall in cash for lenders. Cover reaches 1.0x after a 23.6% traffic fall. Beyond the numbers, a rating turns on the tariff framework, airline and traffic concentration, the catchment and competing airports, the capital spending plan and the reserves and covenants in the debt.

Step 1How does an airport earn and spend its money?

An airport is like a shopping mall attached to a toll gate. Every passenger pays a toll, the aeronautical charge, and spends in the shops, the other income; the building, security and staff cost much the same whether the terminal is full or half empty. Revenue moves with passengers while most costs do not, so an airport's cash for lenders is far more sensitive to traffic than its revenue is. That sensitivity is operating leverageThe degree to which profit moves more than revenue because a large share of costs is fixed., and it is the first number a rating analyst wants.

Step 2What is the cover today and under stress?

Revenue is 1.2 crore passengers times Rs 600, Rs 720 crore: Rs 420 crore aeronautical and Rs 300 crore other. Less Rs 300 crore of costs leaves Rs 420 crore, covering Rs 250 crore of debt service 1.68 times. With 30% fewer passengers, revenue is Rs 504 crore, cash is Rs 204 crore and cover is 0.82x: the airport cannot meet debt service from operations.

Traffic falls 30%; cash for lenders falls 51%720Revenue420cover 1.68xCash for lendersBase: 1.2 crore passengers504Revenue204cover 0.82xCash for lendersTraffic down 30%Debt serviceRs 250 croreCosts Rs 300crore, fixed
At base traffic Suravel has Rs 420 crore of cash for Rs 250 crore of debt service, 1.68x cover; with traffic 30% lower, revenue falls to Rs 504 crore but costs stay at Rs 300 crore, leaving Rs 204 crore, 0.82x.

Work out the breakeven so the committee sees how far the cushion goes. Cover is 1.0x when revenue covers Rs 300 crore of costs plus Rs 250 crore of debt service, Rs 550 crore, which is about 91.7 lakh passengers. That is a traffic fall of 23.6%, which a pandemic, a home airline failing or a new competing airport could each deliver.

Cover reaches 1.0x after a 23.6% traffic fall0.5x1.0x1.5x2.0x-40%-30%-20%-10%0%+10%Base 1.68xBreakeven: traffic -23.6%-30%: 0.82xBelow 1.0x: reserves or defaultChange in passenger trafficDebt service cover
Suravel's cover falls along a line steeper than traffic, from 1.68x at base to 1.0x at a 23.6% traffic fall and 0.82x at a 30% fall, because its costs stay fixed as passengers fall.
Step 3What else would you examine to rate it?

Group the rest into five questions. Who sets the price: the tariff framework decides whether aeronautical charges recover lost traffic later through a true-up, which can turn a traffic shock into a timing problem rather than a permanent loss. Who flies: an airport where one airline carries half the passengers carries that airline's credit risk. Why passengers come: the size and wealth of the catchment, the mix of business, leisure and transfer traffic, and competing airports nearby.

What must be built: expansion capital spending, how it is funded and whether it can be deferred. And what protects lenders: a debt service reserve account, covenants that lock up cash below a cover threshold, and debt maturities well inside the concession's remaining life. The closing view: on the numbers alone Suravel is thinly protected against a severe traffic shock, so its rating depends on how much the tariff framework and reserves cushion a year like the stress case. Confirm the current regulatory framework before relying on any true-up.

Where candidates lose it

Candidates assume cover falls in proportion to traffic, 30% to about 1.2x, and call the airport resilient. The fixed cost base doubles the effect, which is the point of the stress.

The second miss is answering the qualitative half with a generic list. The interviewer wants the factors that change the numbers: tariff true-ups, airline concentration, catchment and competition, capital spending, and reserves.

What the interviewer asks next

  • How large a debt service reserve would carry Suravel through one year of the stress case?
  • The home airline carries 45% of passengers and is itself rated below investment grade. How does that affect your view?
  • How would a single-till framework, where retail income offsets aeronautical charges, change the stress?
  • Why might an airport rating sit above the rating of the country's main airline?

Asked at Moody's, Utilities, New York, 2018 (Wall Street Oasis): If you were to evaluate an airport for a rating, what items/categories would you look at?

← Case 022A company's finance team wires Rs 18 crore to a fraudster after an email that appeared to come from its CEO, and the bank recovers 30%. What is the loss, and which controls would each have stopped it?Case 024 →A bank has 2 lakh credit cards with Rs 1 lakh limits, each 40% used on average. Compute exposure at default and expected loss for the portfolio, allowing for borrowers drawing more before they default.

Company names and figures are illustrative.

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