What sector coverage interviews actually test, industry by industry
The layer on top of generalist technicals: how each coverage group values its companies, and the metrics its interviewers assume you already know.
A generalist technical playbook (three statements, enterprise vs equity value, a standard DCF) gets you through a first round almost anywhere. It stops working the moment a sector coverage interviewer asks a question that assumes you already know how their industry is actually valued. A bank does not get DCF'd, a pre-revenue biotech does not have meaningful EBITDA, and an E&P company's value depends on reserves nobody has produced yet. This guide covers what each major coverage sector layers on top of the generalist foundation, so you can walk into a sector-specific superday sounding like you belong there rather than reciting a generic answer with the company name swapped in.
Sector valuation approaches at a glance
| Sector | Standard tool that does not quite fit | What replaces or supplements it |
|---|---|---|
| Healthcare (biotech) | DCF off current cash flow | Pipeline probability and peak sales, since pre-revenue companies have no cash flow to discount |
| Industrials | A single blended growth rate | A margin bridge: price, cost, volume, mix, productivity, operating leverage |
| Consumer and retail | Revenue growth alone | Unit economics: same-store sales, traffic, ticket, four-wall margin |
| Oil and gas (E&P) | Standard corporate DCF | Net asset value, off a reserve base and a commodity price deck |
| Power, energy, infrastructure | A single discount rate for the company | Asset-level cash flow durability, contract structure, and DSCR |
| FIG (banks) | DCF or EV/EBITDA | Tangible book value and return on tangible common equity |
| FIG (insurance) | DCF or EV/EBITDA | Combined ratio, embedded value, reserve adequacy |
Healthcare
Healthcare coverage spans large pharmaceutical companies, biotech platforms, medtech, healthcare IT, payors, providers, life sciences tools, outsourced pharma services, and sponsor-backed healthcare services businesses, and the valuation approach changes depending on which of those you are looking at.
What gets tested: which valuation method fits which subsector, and why. A pre-revenue biotech is valued on pipeline probability and projected peak sales, not a standard DCF, because there is no revenue to discount yet. A medtech company's story runs through adoption curves and clinical differentiation. A healthcare services business often looks and values like a recurring-revenue roll-up platform. Interviewers also expect comfort with patent cliffs, FDA milestone risk, and reimbursement dynamics, since all three can make or break a healthcare company's cash flows independent of how well it is run.
Key terms to know:
- Pipeline probability and peak sales, for biotech
- Patent cliff, the point when a drug loses exclusivity and generic competition erodes revenue
- Reimbursement risk, whether payors will cover a product at a profitable price
- Adoption curve, for medtech and device companies
Interview tip: be ready to say which of these subsectors you find most interesting and why, and to walk through how you would value a company in that specific subsector, not healthcare in general.
Industrials
Industrials coverage includes manufacturing, aerospace and defense, transportation, building products, packaging, distribution, machinery, capital goods, and business services.
What gets tested: whether you can read a business model as project-based, recurring, aftermarket-driven, or backlog-driven, and reason about how GDP, rates, capex cycles, construction activity, and commodity prices move each one differently. Interviewers push on the margin bridge (price and cost, volume, mix, productivity, labor, logistics, raw materials, operating leverage) and on working capital, since industrials companies often carry meaningful inventory, receivables, payables, and backlog. Valuation leans on EBITDA, EBIT, free cash flow, and for diversified conglomerates, sum-of-the-parts.
Key terms to know:
- Backlog and book-to-bill, how much future revenue is already contracted versus newly booked
- Aftermarket revenue, the recurring parts and service business that often carries higher margin than the original equipment sale
- Operating leverage, how much incremental margin drops through as volume changes
Interview tip: know the difference between a company whose revenue is locked in by backlog versus one that resets every quarter with demand, because that distinction drives almost every follow-up question about cyclicality.
Consumer and retail
Consumer and retail coverage spans branded consumer products (food, beverage, personal care, household, apparel, lifestyle), retailers, restaurants, and consumer services, and candidates need to distinguish between a premium brand, a grocery chain, a restaurant franchisor, and a packaged goods company rather than treating "consumer" as one thing.
What gets tested: channel mix (wholesale, owned retail, e-commerce, marketplace, franchise, distributor), margin structure (gross margin, labor, occupancy, freight, promotional intensity, commodity costs), and for restaurants and retail specifically, unit economics: average unit volume, same-store sales, traffic, ticket, four-wall margin, and payback period. Interviewers also probe brand and moat: pricing power, customer loyalty, shelf space, and how defensible the demand actually is against a private-label or direct-to-consumer competitor.
Key terms to know:
- Same-store sales, growth from existing locations, excluding new openings
- Four-wall margin, profitability of a single store or restaurant location before corporate overhead
- Retailer concentration, how dependent a brand is on a small number of big retail partners for shelf space
Interview tip: have a same-store-sales-style metric ready for whatever subsector you are discussing. Generic "the brand is strong" answers read as a weaker signal than a specific unit economics argument.
Energy: oil and gas
Oil and gas coverage splits broadly into upstream (exploration and production), midstream (pipelines, storage, processing), and downstream (refining), each with its own economics.
What gets tested: reserve categories (1P proved, 2P proved plus probable, 3P proved plus probable plus possible, with investors typically anchoring on 1P for conservative valuation and acquirers looking further out the curve), production measured in barrels of oil equivalent per day, and finding and development costs as the key efficiency metric for E&P companies. The primary valuation method for E&P is net asset value: discounting future production cash flows off a commodity price deck, then subtracting debt and adding non-operational assets, which is a meaningfully different exercise from a standard corporate DCF. Midstream questions lean on contract structure (take-or-pay, throughput volumes) rather than commodity price exposure directly.
Key terms to know:
- 1P, 2P, 3P reserves, increasingly speculative categories of proved, probable, and possible recoverable resources
- BOE/day, barrels of oil equivalent per day, the standard production measure
- Take-or-pay contracts, the midstream structure that shields pipeline revenue from commodity price swings
Interview tip: know which basin or asset type you are discussing and be able to say why its economics differ from another basin. A generic "oil prices went up" answer without basin-level or contract-level nuance signals you have not gone past headlines.
Energy: power, energy, and infrastructure
This group covers utilities, renewables developers, project finance, and infrastructure assets like toll roads, airports, and LNG facilities, advising on M&A, capital raising, and asset-level transactions that combine corporate finance with real asset finance.
What gets tested: debt capacity questions driven by cash flow durability, contract structure, regulatory recovery mechanisms, debt service coverage ratios, and how a rating agency would treat the asset. Interviewers also probe policy and regulatory awareness, since rate cases, tax credits, FERC approvals, and permitting decisions can move an asset's value directly, and the ability to value the same asset from multiple investor lenses at once (a strategic, a utility, an infrastructure fund, a lender, and a tax equity investor rarely agree on what an asset is worth).
Key terms to know:
- Debt service coverage ratio (DSCR), the cash flow cushion above debt payments that drives how much an asset can borrow
- Regulated vs merchant, whether a utility's returns are set by a regulator or exposed to market power prices
- Contracted cash flow, revenue locked in by a long-term offtake or power purchase agreement versus sold into a spot market
Interview tip: be ready to explain how the same macro theme (electrification, decarbonization, grid buildout) means something different for a regulated utility than it does for a merchant power generator, because interviewers use that distinction to separate real sector knowledge from a memorized talking point.
FIG (financial institutions group)
FIG covers banks, insurance companies, asset and wealth managers, and increasingly fintech, and it is widely considered one of the most technically distinct coverage groups because standard valuation tools do not apply cleanly to any of these business types.
What gets tested: bank valuation runs off tangible book value and return on tangible common equity rather than a DCF, because a bank's balance sheet is its product, not an input to one. Insurance valuation requires combined ratio, embedded value, and reserve adequacy fluency, since an insurer's liabilities are estimates of future claims rather than fixed obligations. Asset and wealth managers are valued largely on assets under management and fee rates. Walking into a FIG superday with a generic industrial or consumer technical playbook is one of the fastest ways to get exposed, because the interviewers know exactly which generic answer does not actually apply to a bank's balance sheet.
Key terms to know:
- Tangible book value and ROTCE, the core bank valuation pair, replacing enterprise value and EBITDA multiples
- Combined ratio, an insurer's underwriting losses plus expenses divided by premiums earned, where below 100% means an underwriting profit
- AUM and fee rate, the two inputs that drive an asset manager's revenue
Interview tip: if you only have time to build depth in one FIG-specific area, make it bank valuation (tangible book and ROTCE), since banks are the largest and most commonly asked-about FIG subsector in first rounds.
How sector interviews interact with product group interviews
Sector coverage bankers still execute deals through a product lens, M&A, ECM, DCM, or leveraged finance, so a coverage superday usually layers sector questions on top of, not instead of, the standard product technicals covered in the finance career paths guide. A healthcare M&A interview still expects clean accretion/dilution mechanics; it just also expects you to know why a biotech deal's value hinges on a pipeline asset rather than trailing EBITDA. Treat sector prep as the second layer you build once the generalist foundation (the three statements, valuation, merger and LBO basics) is solid, not a replacement for it.
FAQ
Do I need to pick a sector before I start recruiting?
No. Most banks let you rank sector and product preferences during a generalist first-round process, and plenty of analysts land in a coverage group they had not specifically targeted. What matters more early on is having the generalist technical foundation solid; sector depth is worth building once you know which groups you are actually interviewing with.
Which sector has the most different technicals from generalist banking?
FIG and oil and gas E&P are the two furthest from a standard playbook. FIG replaces DCF-based valuation with tangible book, ROTCE, combined ratio, and AUM-based approaches depending on the subsector, and E&P replaces it with reserve-based net asset value. Healthcare is close behind, since a pre-revenue biotech cannot be valued the way a profitable company can.
How much sector depth do I actually need for a first round versus a superday?
A first round usually only checks that you can name the subsectors and explain in broad strokes why the sector's economics differ from a generalist industrial or consumer company. A superday with the actual group goes much deeper: expect follow-up chains that assume you already know the sector's core metrics and can apply them to a live example, not just define them.
Is it worth building sector depth before I even know which groups I will interview with?
A little goes a long way, and it is a reasonable use of early prep time if you already have a sense of which coverage groups interest you. Pick one or two companies per sector you find genuinely interesting, learn their subsector's core metric, and be ready to discuss them; that is usually enough to sound credible in a first round even before you have superday-level depth in any single sector.

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