Fin Maverick
Foundations VocabularyAccounting & ReportingEconomics & MacroQuant Methods & ProgrammingBusiness & Company AnalysisCorporate Finance & ValuationBehavioural Finance
Banking & Market InfrastructureFixed Income & RatesDerivatives & Structured ProductsPublic EquitiesTransactions & DealsPortfolio ConstructionFunds & AMCs
Private Markets & AlternativesRisk, Treasury & ControlAI & Digital FinanceStochastic Calculus & PricingWealth & Personal FinanceIndian Markets & RegulationProfessional Practice
Explore NISM prep
Series-VIII · Equity DerivativesSeries-XII · Securities Markets FoundationSeries-V-A · Mutual Fund DistributorsSeries-XV · Research AnalystSeries-XIX-E · Category III AIF ManagersSeries-XIX-D · Category I & II AIF ManagersSeries-XIX-C · Alternative Investment Fund ManagersSeries-XVI · Commodity DerivativesSeries-VI · Depository OperationsSeries-II-A · Registrars & Transfer AgentsSeries-I · Currency DerivativesSeries-VII · Securities Operations & Risk Management
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryInvestment Banking Analyst
Private Equity AnalystQuant & Hedge Fund AnalystBreaking Into VCFinancial Analyst Program
Risk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Free Courses

Equity Research6

Writing an Investment ThesisBuilding a Discounted Cash FlowReading an Annual Report FastReading a Sector Before a CompanySpotting Quality of Earnings Red FlagsBuilding a Revenue Forecast From Drivers

Portfolio Management3

Rebalancing: When, Why and What It CostsStrategic and Tactical Asset AllocationMeasuring Risk in a Portfolio

Mutual Fund Mastery3

Comparing Funds Without Being FooledHow a NAV Is Struck and Which Day You GetReading a Fund Factsheet Properly

Derivatives Unlocked4

Hedging a Real ExposureThe Greeks, PracticallyFutures, the Basis and What Moves ItReading an Option Payoff

AI For Finance2

Retrieval and Grounding for FinanceDocument Extraction in Finance

Breaking Into Quants4

Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

Breaking Into VC3

Sizing a MarketReading a Term Sheet as a FounderHow a Venture Round Actually Works

Financial Analyst Program4

Common Size and Trend AnalysisReading a Cash Flow StatementRatio Analysis That Says SomethingBuilding a Working Capital Schedule

Risk Management Program2

Credit Exposure and How It Is ReducedValue at Risk and What It Hides

Investment Banking Analyst3

Precedent Transactions and Why They DifferReading a Term Sheet StructurallyBuilding a Comparable Companies Table

Private Wealth Management3

Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

Debt Capital Markets3

Analysing an Issuer's CreditDuration and What It Does Not Tell YouBond Pricing and Yield Mechanics

Private Equity Analyst2

Fund Waterfalls and CarryThe LBO in Structure

Hedge Funds Analyst2

Short Selling MechanicsLong Short Mechanics
QuarksCourses
Explore Interview Preparation
Investment BankingEquity ResearchVenture CapitalistPrivate EquityHedge Funds
QuantFinancial AnalysisPrivate Wealth ManagementDebt Capital MarketsRisk Management
Derivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
Interview tracksAll
1Investment Banking
Question bankPuzzlesCase studies
2Equity Research
Question bankPuzzlesCase studies
3Venture Capital
Question bankPuzzlesCase studies
4Private Equity
Question bankPuzzlesCase studies
5Hedge Funds
Question bankPuzzlesCase studies
6Quant
Question bankPuzzlesCase studies
7Financial Analysis
Question bankPuzzlesCase studies
8Private Wealth Management
Question bankPuzzlesCase studies
9Debt Capital Markets
Question bankPuzzlesCase studies
10Risk Management
Question bankPuzzlesCase studies
11Derivatives Foundation
Question bankPuzzlesCase studies
12Portfolio Management
Question bankPuzzlesCase studies
13Mutual Fund Mastery
Question bankPuzzlesCase studies
031

Case 031Private credit and direct lendingCore

You have read the CIM and databook for a stable, capex-light engineering services business with Rs 75 crore of EBITDA. The sponsor wants Rs 300 crore of debt. What leverage, pricing and covenants do you propose, and how do you handle the two biggest risks?

Golub CapitalChicago · 2015

1The situation

Sthapati Engineering Services designs and supervises water, road and industrial projects for state agencies and private developers. Revenue is Rs 500 crore and EBITDA Rs 75 crore, a 15% margin that has moved less than a point in five years. Capex is Rs 5 crore a year, depreciation the same, and working capital absorbs about Rs 4 crore a year as the business grows. Receivables run at about 110 days, and the largest client, a state water board, brings in 20% of EBITDA. The top five clients bring in 55%.

A sponsor is buying the company for 9x, Rs 675 crore, and asks your fund for a Rs 300 crore unitranche, 4.0x EBITDA. Use an all-in cost of 11% for the arithmetic and tax of 25%.

2Your task

Give your investment recommendation: how much you would lend, at what price, with which covenants, and how you would underwrite or mitigate the two biggest risks.

Quick check

What is the most useful first number to compute for a lender here?

Worked solution

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

30-second answerThe answer to give first

Lend about Rs 270 crore, 3.6x, at a margin over the benchmark with a 2% fee and call protection, and set a 4.75x leverage covenant. At that size interest cover is 2.5x, cash repays about 10% of the loan a year, and EBITDA can fall 24% before a breach. Losing the largest client leaves leverage at 4.5x, inside the covenant. The receivables risk is handled by diligence on ageing and monthly reporting.

Step 1What does a lender's recommendation actually consist of?

Three numbers and a reason for each. Think of a relative who asks to borrow money for a shop: you decide how much, what you charge, and what promise you want in writing if things go wrong. A credit recommendation is a leverage number, a price and a protection, and every one of them comes from the cash flow, not from the purchase price. The sponsor paying 9x tells you how much equity sits beneath you, Rs 375 crore at the ask, which is useful comfort. It does not tell you whether the business can pay Rs 33 crore of interest every year and still bring the loan down.

Step 2How much can the business carry?

Start from free cash flow at the sponsor's ask. EBITDA of Rs 75 crore, less Rs 5 crore of capex, less tax of about Rs 9 crore after the interest deduction, less Rs 4 crore of working capital, less Rs 33 crore of interest, leaves Rs 23.8 crore. At Rs 300 crore the loan earns 2.27x interest cover and repays 7.9% of itself a year; at Rs 270 crore those become 2.53x and 9.7%. Both are serviceable for a business this steady, so the size is not decided by the base case. It is decided by what happens when the largest client leaves, which is the test in the table below.

DebtLeverageInterestFree cash flowInterest coverCash repays a yearLeverage without top clientHeadroom to 4.75x
Rs 262.5 crore3.5x28.926.82.60x10.2%4.38x26.3%
Rs 270 crore3.6x29.726.22.53x9.7%4.50x24.2%
Rs 300 crore (the ask)4.0x33.023.82.27x7.9%5.00x15.8%
Rs crore. At the sponsor's Rs 300 crore, losing the client worth Rs 15 crore of EBITDA lifts leverage to 5.0x and breaches a 4.75x covenant; at Rs 270 crore the same loss leaves leverage at 4.5x, inside it, which is why the recommendation stops at 3.6x.
The recommendation as a term sheet: a leverage number, a price and a protectionIndicative terms: Sthapati Engineering ServicesFacilitySenior unitranche term loanAmountRs 270 crore, 3.6x EBITDA of 75Tenor6 yearsPricingBenchmark + margin, 11% all in (assumed)Upfront fee2.0% of the loanRepayment1% a year + 50% excess cash sweepLeverage covenantNet debt / EBITDA no more than 4.75xCover covenantEBITDA / interest at least 2.0xCall protection102 in year 1, 101 in year 2ReportingMonthly receivables ageing by client1Leverage: 3.6x, not the 4.0x askedRs 30 crore less debt, interest cover 2.5x2Price: margin plus fee, with call protectionthe lender is paid for the risk it keeps3Protection: 24% EBITDA headroombreach only below Rs 56.8 crore of EBITDAEBITDA, Rs crore75 today60, top client lostbreach 56.8
The recommendation fits on a term sheet: Rs 270 crore at 3.6x, an assumed 11% all in with a 2% fee and call protection, a 4.75x leverage covenant with 24% headroom, so EBITDA can fall from Rs 75 crore to Rs 56.8 crore before a breach and survives the loss of the largest client at Rs 60 crore.
Step 3How do you set the price and the covenants?

Price in three parts. The margin over the floating benchmark is the running reward; the upfront fee, here 2%, is paid on day one and lifts the lender's yield over the life of the loan; and call protectionA premium the borrower pays if it repays the loan early, so the lender is not refinanced away as soon as the company improves. of 102 then 101 stops the sponsor refinancing you away the moment the business improves. Quote the margin as a spread and say that the benchmark moves with markets; the assumed 11% all-in is for the arithmetic only. Set the leverage covenant so EBITDA can fall about a quarter before it trips: at 3.6x opening leverage, 4.75x gives 24% headroom. Add a minimum interest cover of 2.0x, a 50% sweep of excess cash and 1% yearly amortisation so the loan falls even if nothing else goes right.

Step 4What are the two biggest risks, and how do you handle each?

First, concentration. One state water board brings in 20% of EBITDA and the top five bring in 55%. You underwrite it by sizing the loan so the business survives losing the largest client inside the covenant: Rs 270 crore does, Rs 300 crore does not. In diligence, read the contract terms, renewal history and payment record of each of the top five, and ask how much of the pipeline is with new clients.

Second, receivables. At 110 days, about Rs 150 crore is owed by clients at any time, much of it by government agencies that pay late in a tight year, and unbilled work that has been booked as revenue but not yet invoiced can flatter EBITDA. You mitigate it by testing cash conversion, not EBITDA: three years of operating cash flow against EBITDA, an ageing schedule by client, and how much revenue sits unbilled beyond 180 days. Then write it into the loan: monthly ageing reports, and an EBITDA definition that excludes unbilled revenue older than 180 days. The limit of this answer is that it treats the sponsor's equity as passive; a lender who knows the sponsor has supported past portfolio companies through a bad year may stretch to 3.75x, and should say so.

Where candidates lose it

The common loss is answering from the leverage alone: comparable deals price at 4.0x, so 4.0x. The interviewer wanted the reason a lender stops at a number, and the reason here is the largest client, which a 4.0x loan cannot lose without breaching.

The second miss is treating EBITDA as cash in a services business with 110 day receivables. Without a cash conversion check, the recommendation rests on a number the lender may never collect.

What the interviewer asks next

  • The sponsor offers a 1% higher margin if you lend the full Rs 300 crore. Does that change your answer?
  • How would you structure a revolving facility alongside the term loan for the receivables swing?
  • What would make you decline the deal entirely rather than lend less?

Asked at Golub Capital, Leveraged Finance, Chicago, 2015 (Wall Street Oasis): What do you think is an appropriate leverage indication for a business with XYZ characteristics?

← Case 030A steel maker is in insolvency. Liquidation would fetch Rs 400 crore; a bidder offers Rs 650 crore. Work the distribution across financial creditors, operational creditors and shareholders, and say why lenders vote for the bid.Case 032 →Paper LBO on an oilfield services company whose EBITDA swings 30% either way with oil prices. Buy at 6x with 3.5x debt, exit at 6x in year 4. Work the return at trough, mid-cycle and peak, and say how much leverage a cyclical business can bear.

Company names and figures are illustrative.

Fin Maverick Free CoursesExplore Free Courses
Fin Maverick BootcampsExplore Bootcamps
Fin Maverick

Finance education that ends in a job, not a certificate that gathers dust. Built for young India.

LEARN
CalculatorsFrameworksComparisonsInterview RoadmapsShowdown
RESOURCES
All CoursesFree CoursesBootcampsInternships
COMPANY
AboutJob openingPartnership
LEGAL
Privacy PolicyTerms & ConditionsContent LicenseReturn & Refund Policy
© 2026 FIN MAVERICK / BUILT FOR INDIA.DO FINANCE, DO NOT JUST READ ABOUT IT.