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
CalculatorComparison
Frameworks
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

Financial Analysis interview preparation

The three statements, working capital, ratios, forecasting, variance analysis, costing, capital budgeting, valuation and the modelling and Excel work that fills the day, plus the fit questions about why this seat. Every question is either traced to a named firm from a public candidate report, or tagged at desk level when we could not trace it — we do not invent attributions.

Jump to the question bank
Go deeper

Financial Analyst Program Bootcamp

Question banks tell you what gets asked. This course gives you the work behind an answer that survives a follow-up.

Explore the course →
Question bank

100 questions, mapped to the firms that asked them

Questions
100
Traced to a firm
42
Firms
28
Updated
September 2026
Asked at
All firmsMoody's7Bain Capital3SSState Street3AMAres Management2BLBlackRock2DED.E. Shaw2MSMorgan Stanley2Oaktree Capital Management2S&P Global2Bridgewater Associates1Citadel1FTFranklin Templeton1Golub Capital1HWHarris Williams1Houlihan Lokey1J.P. Morgan1Jane Street1MWMarshall Wace1Millennium Management1Morningstar1PIMCO1Sycamore Partners1TSTruist Securities1Two Sigma1Vanguard1WMWellington Management1Wells Fargo Securities1Wolverine Trading1
Topic
All topicsThree statements9Accounting policy and standards5Working capital and cash7Ratio analysis8Forecasting and budgeting9Variance and management reporting7Unit economics and costing8Capital budgeting7Cost of capital and valuation7Markets and rates5Modelling, Excel and data8Business partnering6Brainteasers and estimation4Fit and career10
Level
AnyCoreIntermediateHard
Type
AnyTechnicalCaseBrainteaserMarket viewFit
Showing 1–2 of 2 · filtered from 100Clear filters
  1. 033What should a makeup company think about regarding revenue?Forecasting and budgetingIntermediatetechnicalBain CapitalGeneralist · Boston · 2023

    Say this

    Volume times price times mix, but for cosmetics the three things that decide it are channel, repeat rate and trend risk. It is a business where a single viral product can double revenue and then vanish, so the question is how much of revenue is repeatable.

    Then walk it

    1. Build the revenue as units times realisation per unit, split by channel, because channel economics differ wildly. Modern trade, general trade, e-commerce marketplace and own direct-to-consumer site carry very different gross-to-net and different receivable days.
    2. Then gross to net, which is where cosmetics revenue really lives: list price less trade schemes, retailer margin, promotional discount, influencer and marketplace commission, and returns. Reported revenue can be 25 to 35 percent below list.
    3. Then repeat versus new. A colour cosmetic is trend-driven and often a one-time purchase; a skincare or base product repeats. Two brands with the same revenue and different repeat rates are worth very different multiples.
    4. Then SKU concentration and shelf life. If the top three SKUs are half of sales, one formulation problem or one competitor launch is a revenue event. Inventory carries expiry risk, so aggressive channel loading creates returns later.
    5. For India specifically: sachet and small-pack price points drive penetration, GST slab and regulatory labelling change cost to serve, and quick-commerce has compressed the path to repeat purchase.
    6. So the summary I would give: forecast it by channel with an explicit gross-to-net, hold the repeat rate as the key assumption, and stress the top three SKUs. That is where the volatility is.

    Where candidates lose it

    Answering generically about consumer demand. The interviewer wants category-specific thinking: gross to net, channel mix, repeat rate and SKU concentration. Also do not forget returns, which are a real revenue line in beauty.

    Expect next

    • How would you model a viral product launch?
    • Which is a better business, colour cosmetics or skincare?
    • What does quick commerce do to the working capital cycle?

    Reported by candidates at Bain Capital (Generalist, Boston, 2023). Source: Wall Street Oasis.

  2. 052Here are a few figures about an airline. Work out what it should charge for a ticket, and ask me for anything else you need.Unit economics and costingHardcase studyBain CapitalGeneralist · Boston · 2024

    Say this

    I would build cost per available seat kilometre, convert it to cost per seat on the route, divide by the load factor to get cost per sold seat, then add a margin. Before that I need four things: seats per aircraft, sector length, load factor and the split of fixed versus variable cost.

    Then walk it

    1. The structure: total operating cost per flight divided by seats gives cost per seat. Divide by the expected load factor, say 80 percent, and cost per sold seat rises by 25 percent. That step is the one candidates skip and it is the largest single adjustment.
    2. A worked illustration. If a flight costs 15 lakh to operate with 180 seats, that is about 8,300 per seat. At 80 percent load, cost per sold passenger is about 10,400. Add a 10 percent margin and the average fare needs to be around 11,500.
    3. Then I would ask what I am solving for, because the answer differs. The average fare needed to break even on the route is one question; the price of the marginal seat two days before departure is another, and there the only relevant cost is a few hundred rupees of fuel, catering and commission.
    4. That marginal-cost logic is why airlines use dynamic pricing. The same seat is worth 3,000 in a seat-sale ten weeks out and 18,000 to a business traveller on the day, and the fixed cost of the flight is sunk either way.
    5. The inputs I would keep asking for: fuel as a share of cost, aircraft ownership or lease cost per hour, crew and airport charges, ancillary revenue per passenger, and the competitive fare on the route. Ancillary matters enormously for a low-cost carrier; baggage and seat fees can be 15 to 20 percent of revenue.
    6. And the conclusion I would state: cost tells you the floor, competition and willingness to pay tell you the price. In a market with a dominant low-cost competitor, the cost-plus number is often simply unachievable, and then the decision is whether to fly the route at all.

    Where candidates lose it

    Dividing cost by total seats and quoting that as the fare. You must divide by load factor. The second trap is not asking questions: the interviewer deliberately gave you partial data, and the questions you ask are half of what is being marked.

    Expect next

    • What is the marginal cost of the last seat sold?
    • How would ancillary revenue change your answer?
    • A competitor prices 20 percent below your floor. What do you do?

    Reported by candidates at Bain Capital (Generalist, Boston, 2024). Source: Wall Street Oasis.

Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.

Puzzles

100 Financial Analysis puzzles, solved step by step

Try each one before you read the answer: probability, mental maths and the brainteasers interviewers use to watch you think.

Solve the puzzles →
Case studies

100 Financial Analysis case studies, worked step by step

A business, its numbers and a task, as in an assessment day or a case round. Work it on paper, then open the solution one step at a time.

Work the cases →
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.