Financial Analysis interview preparation

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

1. 030You are handed a business you know nothing about and asked for a revenue forecast by Friday. How do you build it?Forecasting and budgetingIntermediatetechnicalCorporate FP&ABig Four

   Say this

   Break revenue into a price times volume build, find the two or three drivers that actually move it, then sanity-check the result top down against the market. Never forecast a revenue growth percentage directly, because then you cannot explain or defend it.

   Then walk it

   1. Start with the disaggregation the business already uses: by product, by channel, by geography, by customer cohort. Whatever the sales team reports on weekly is the right unit, because that is the data that will exist.
   2. Build price and volume separately. Volume might be stores times transactions times basket, or installed base times renewal rate, or capacity times utilisation. Price is realisation per unit, and separating it lets you answer 'is growth price or volume', which is the first question anyone asks.
   3. Find the drivers by looking at what correlated historically. Two or three drivers explain most businesses. Anything beyond five is false precision.
   4. Then the top-down check. Market size times your share, or industry growth plus or minus a share change. If your bottom-up build implies share going from 9 percent to 14 in two years, you have found your error.
   5. Then triangulate against three anchors: the order book or pipeline, management guidance, and the run rate implied by the last two quarters annualised.
   6. And I would deliver it as three cases with named assumptions rather than a single number, and flag explicitly which one assumption the whole forecast turns on. By Friday the honest output is a defensible structure, not a precise answer.

   Where candidates lose it

   Forecasting a growth percentage off last year. It is fast and it is indefensible, because you cannot tell the business head what would have to be true for it to happen. Build price times volume, then check top down.

   Expect next

   • What if there is no historical data at all?
   • How would you handle a brand-new product line?
   • Which single assumption would you stress first?
2. 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.

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.