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
076

Case 076Stock pitchHard

Your case competition pitch went long a retailer at Rs 400. A year later it trades at Rs 280 on lower earnings. Split the fall into the earnings miss and the de-rating, and say what you would do now.

Point72New York · 2026

1The situation

In last year's case competition you pitched Corvasta Retail, a value fashion chain, as a long at Rs 400. That was 25x your FY26 EPS estimate of Rs 16. The thesis rested on two engines: about 60 new stores a year and same-store sales growth near 10%, which together would carry EPS up about 20% a year.

A year on, Corvasta trades at Rs 280. FY26 EPS came in at Rs 14.5, not Rs 16, because same-store sales slowed to 1% and heavy discounting cut the gross margin by 1.5 points. New store openings ran to plan. The interviewer has your old deck open and asks what happened.

2Your task

How much of the 30% fall came from earnings and how much from the multiple, and what would you do with the position today?

Quick check

Before you calculate: which part of the fall is bigger?

Worked solution

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

30-second answerThe answer to give first

About Rs 37.5 of the Rs 120 fall came from the earnings miss and Rs 82.5 from the multiple. At the old 25x, EPS of Rs 14.5 is worth Rs 362.5, a 9.4% fall. The market then paid only 19.3x, taking the price to Rs 280. Most of the loss is the market deciding the growth engine had stalled. The decision today is a fresh one at Rs 280, not a defence of Rs 400.

Step 1How do you split a price move into its two parts?

Price is earnings per share times the multiple, so every price move is some mix of the two. Think of a flat bought for its rent: its price can fall because the rent fell, or because buyers now pay fewer years of rent for the same flat. Change one piece at a time: first move EPS at the old multiple, then move the multiple at the new EPS. At 25x, the new EPS of Rs 14.5 is worth Rs 362.5. That Rs 37.5 step is the earnings miss. The remaining Rs 82.5, from Rs 362.5 to Rs 280, is the market paying 19.3x instead of 25x, a de-ratingA fall in the multiple investors pay for each rupee of earnings, independent of any change in the earnings themselves..

Rs 400 to Rs 280: one step for earnings, one for the multiple400Entry price25.0x EPS 16-37.5EPS miss16 to 14.5, -9.4%-82.5De-rating25.0x to 19.3x, -22.8%280Price today19.3x EPS 14.5Of the Rs 120 loss, earnings took Rs 37.5 (31%) and the multiple Rs 82.5 (69%)
Corvasta's price fell from Rs 400 to Rs 280: Rs 37.5 came from EPS dropping from Rs 16 to Rs 14.5 at the old 25x, and Rs 82.5 came from the multiple falling to 19.3x, so the de-rating did about 69% of the damage.
The relationship
280400=14.516×19.3125=0.906×0.772=0.700\frac{280}{400} = \frac{14.5}{16} \times \frac{19.31}{25} = 0.906 \times 0.772 = 0.700
280 / 400the price ratio, a 30% fall
14.5 / 16the EPS ratio, a 9.4% fall
19.31 / 25the P/E ratio, a 22.8% fall
What it says in wordsThe price ratio equals the EPS ratio times the multiple ratio, so a 9.4% earnings fall and a 22.8% de-rating compound to a 30% loss.

Notice the two percentages do not add up to 30. The pieces multiply, so 9.4% and 22.8% combine to 30.0%, not 32.2%. The order you take them in also shifts the rupee split: move the multiple first and the de-rating takes Rs 91 while earnings take Rs 29. Either way the multiple did two thirds to three quarters of the damage, and that is the finding to say out loud.

Step 2Why did the market stop paying 25x?

A multiple is the price of expected growth. 25x was the market agreeing that EPS would compound near 20% a year. When same-store salesSales growth from stores open for at least a year, which strips out the effect of new openings and shows whether existing stores are selling more. slowed to 1%, the market stopped believing in the engine, not just in one year's number. New stores opened on plan, so the slowdown sits in the existing estate: either new stores are pulling customers from old ones nearby, or the format is losing its shoppers. A one-year miss moves EPS by a few percent; a doubt about the engine moves the multiple, and the multiple is applied to every future year at once.

Where the stock moved: a slide along the ray, then a drop to a lower ray12131415161718200250300350400450EPS, RsPrice, Rs25.0x ray19.3x rayEntry: Rs 400EPS 16 at 25xRs 362.5 if the multiple heldToday: Rs 280EPS 14.5 at 19.3xde-rating: -82.5
Plotted as price against EPS, Corvasta slid down the 25x ray from Rs 400 to Rs 362.5 as earnings fell, then dropped straight down to the 19.3x ray at Rs 280, and that vertical drop is more than twice the slide along the ray.
Step 3What do you do with the position now?

Start from Rs 280 and ask the pitch question again as if you had never owned the stock. It is the same discipline as a family deciding whether to keep a car: what they paid for it five years ago does not change what it is worth to them today. The price you paid carries no information about the value; it only records your mistake. The test is which reading of the slowdown is right. If the discounting cleared excess stock and same-store sales recover toward 8% to 10%, EPS can get back to Rs 16 and beyond, and 19.3x a depressed year is not demanding. If new stores are cannibalising old ones, Corvasta is closer to a 10% grower, and slower retailers of that kind usually trade in the high teens, so Rs 280 is already about fair.

Reading of the slowdownEvidence you would seeEPS pathWhat 19.3x means
Stock clearance, engine intactMature-store sales recover; inventory days back to normalBack to Rs 16 within a yearUndemanding on a depressed year
Cannibalisation by new storesOlder stores near new openings lose sales; footfall downGrows about 10% from Rs 14.5Roughly fair; no margin for error
Format losing shoppersFootfall and ticket size both falling across the estateFlat or downStill expensive
Each reading of the same-store slowdown implies a different EPS path, so the decision on Corvasta turns on mature-store data rather than on the Rs 400 entry price.

Close with the evidence that decides it: same-store sales for stores older than two years against the newest ones, footfall against ticket size, and inventory days after the clearance. A strong close owns the error, sizes it and names the test: the miss was mine, most of the damage came from the multiple, and I would stay involved only if mature-store data shows the engine restarting within two quarters; otherwise I would exit and keep the lesson.

Where candidates lose it

Candidates defend the old pitch. They argue the market is wrong at Rs 280 because it was right at Rs 400, which tells the interviewer you anchor on your entry price. The question tests whether you can separate what you got wrong from what the market changed its mind about.

The second loss is blaming it all on the earnings miss. EPS fell 9%; the stock fell 30%. If you cannot say that most of the damage came from the multiple, you have not shown you understand why growth stocks fall harder than their earnings.

What the interviewer asks next

  • If EPS recovers to Rs 16 and the multiple stays at 19.3x, where does the stock sit, and is that enough?
  • What single data point would make you exit tomorrow?
  • How would you size the position differently if you pitched it again?
  • Your Rs 16 was above consensus of Rs 15. What does that say about the entry?

Asked at Point72, Investment Research, New York, 2026 (Wall Street Oasis): Asked about the case competition and what happened to the stock

← Case 075On the spot, give a two-line thesis on Aeronvik Aerospace after a quality grounding cut deliveries from 400 to 280 aircraft, and name the one number that would change your view.Case 077 →An electronics maker beats consensus EPS by 10%, but operating cash flow is negative, receivables jumped Rs 300 crore and there is a one-off export incentive. Was it a real beat?

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.