Introduction
Choosing a coverage group is one of the most consequential decisions in your early banking career. It determines the clients you serve, the analytical skills you develop, the deal types you execute, and the exit opportunities available after your analyst stint. FIG stands apart from every other industry group in ways that go beyond typical sector-specific knowledge. Where TMT, Healthcare, and Energy require domain expertise layered on top of standard valuation frameworks, FIG requires you to replace those frameworks entirely.
This article compares FIG to the four other major coverage groups across the dimensions that matter most: analytical approach, deal flow characteristics, skill development, and career optionality.
Analytical Approach: Why FIG Is Fundamentally Different
The core distinction between FIG and every other group comes down to valuation methodology. TMT, Healthcare, Energy, and Industrials all use the same foundational toolkit: enterprise value, EBITDA (or EBITDA variants like EBITDAX for Energy), unlevered DCF, and LBO models. The sector-specific knowledge is layered on top: Healthcare adds rNPV for drug pipelines, Energy adds NAV for reserves, TMT adds subscriber and user-based metrics. But the core framework remains intact.
FIG breaks this framework entirely. Debt is raw material, not financing, which means enterprise value, EBITDA, and unlevered DCF are all inapplicable. FIG analysts learn P/TBV, the Dividend Discount Model, embedded value for insurance, and AUM-based valuation for asset managers. These methods have no equivalent in other groups.
| Dimension | FIG | TMT | Healthcare | Energy |
|---|---|---|---|---|
| Primary multiples | P/TBV, P/E, DDM | EV/EBITDA, EV/Revenue | EV/EBITDA, rNPV | EV/EBITDA, EV/DACF, NAV |
| Intrinsic model | DDM (equity-based) | DCF (unlevered) | DCF + rNPV for pipeline | DCF + NAV for reserves |
| Discount rate | Cost of equity | WACC | WACC | WACC |
| Debt treatment | Operating input (raw material) | Financing decision | Financing decision | Financing decision |
| Key sector metric | NIM, ROTCE, Combined Ratio | ARR, DAU/MAU, ARPU | Revenue per drug, approval probability | Production, reserves, decline rate |
| Regulatory impact on deals | Binding constraint (multi-agency approval) | Antitrust (DOJ/FTC) | FDA, antitrust | FERC, EPA, state regulators |
Deal Flow: Volume, Variety, and Regulatory Complexity
FIG generates more deal volume than most coverage groups because the financial services industry is enormous and fragmented. The US alone has over 4,300 FDIC-insured banks, thousands of insurance agencies, hundreds of asset managers, and a rapidly growing fintech ecosystem. Bank consolidation alone produces 150-200+ transactions annually.
However, FIG M&A deals take longer to close than deals in other sectors. Regulatory approval from multiple agencies (Fed, OCC, FDIC, state regulators) extends timelines to 6-18 months, compared to 3-4 months for a typical corporate deal. Capital One's $35.3 billion acquisition of Discover took over 15 months. This extended timeline means FIG bankers work on deals for longer periods but may close fewer mega-transactions annually than TMT or Healthcare peers.
Skill Development and Transferability
Each coverage group develops a specific analytical profile that shapes your career trajectory.
FIG develops the deepest financial statement analysis skills (because bank accounting is uniquely complex), strong regulatory understanding, and expertise in balance sheet-driven modeling. The skills are highly valued within financial services but less directly transferable to other sectors. A FIG analyst transitioning to a technology-focused PE fund would need to learn an entirely new valuation framework.
TMT develops strong growth-oriented analytical skills: revenue modeling for SaaS businesses, user economics, and technology-driven disruption analysis. TMT skills are among the most transferable because technology touches every industry, and growth equity and venture capital firms value the TMT analytical toolkit.
Healthcare develops scientific literacy (understanding clinical trial data, FDA pathways, and therapeutic area dynamics) alongside standard financial modeling. These skills transfer well to healthcare-focused PE, venture capital, and the growing biotech corporate development ecosystem.
Energy develops commodity-based modeling, reserve analysis, and an understanding of capital-intensive businesses with long project timelines. Energy bankers learn to navigate commodity price cycles, production economics, and regulatory frameworks from FERC, EPA, and state-level agencies. The skills are highly valued within the sector but face similar transferability constraints to FIG when moving to other industries: reserve-based NAV modeling does not translate to a consumer PE fund any more than bank DDM modeling does.
Which Group Should You Choose?
The right group depends on your career goals, intellectual interests, and risk tolerance for specialization.
Choose FIG if you are genuinely fascinated by how financial institutions work, comfortable with a steeper learning curve, and willing to commit to a financial services career track. FIG rewards depth over breadth, and the analysts who thrive are those who find regulatory capital analysis and bank modeling intellectually engaging rather than a burden to endure.
Choose TMT if you want the broadest exit optionality, are drawn to growth-stage companies, and prefer a sector where technology disruption creates constant change. TMT is the largest coverage group at most banks and generates the highest M&A advisory fees globally.
Choose Healthcare if you want exposure to both scientific innovation and financial analysis, value recession-resistant deal flow (healthcare is defensive), and are interested in biotech venture capital or pharmaceutical corporate development.
Choose Energy if you are drawn to commodity-driven economics, understand the capital cycle, and want exposure to one of the most capital-intensive sectors in the economy. Energy IB has strong exits into energy PE, infrastructure funds, and commodity trading.
These comparisons apply across geographies. FIG at a London-based bulge bracket is just as analytically distinct from TMT or Healthcare as it is in New York. The specific regulatory regimes differ (ECB and PRA versus the Fed and OCC, Solvency II versus RBC for insurance), but the fundamental paradigm shift, equity-based valuation replacing enterprise value, is universal. In fact, cross-border FIG transactions at global banks often require analysts who can bridge multiple regulatory frameworks, adding a layer of complexity that domestic-only coverage groups rarely encounter.


