Introduction
The most common valuation mistakes in FIG interviews involve applying standard corporate finance tools to financial institutions. Enterprise value, EV/EBITDA multiples, and unlevered DCF models are the workhorses of valuation in every other coverage group, from TMT to healthcare to industrials. But these tools produce meaningless results when applied to banks, insurance companies, and most other financial institutions. The reason is fundamental: traditional valuation assumes you can cleanly separate a company's operating activities from its financing decisions. For financial institutions, this separation is impossible because debt is the business, not the financing. A bank's deposits, borrowings, and other liabilities are not financing choices layered on top of an operating business; they are the raw material that the bank transforms into interest income, fee revenue, and profit. Every valuation approach in FIG must start from this reality, which means working exclusively at the equity level: equity value, not enterprise value; levered cash flows, not unlevered; and ROE and book value, not ROIC and invested capital.
Why Enterprise Value Breaks
Enterprise value (EV) is defined as equity value plus net debt (total debt minus cash). The purpose of EV is to strip out financing decisions so you can compare companies with different capital structures on an apples-to-apples basis. For a manufacturing company, this makes sense: the company's debt is a financing choice, and the operating business would function the same way whether it was funded 30% or 50% with debt.
For a bank, this logic collapses entirely. Consider JPMorgan Chase, which had approximately $4.0 trillion in total assets and $3.4 trillion in total liabilities at year-end 2024. Approximately $2.4 trillion of those liabilities were deposits. Are deposits "debt" in the enterprise value sense? They are technically liabilities, but they are also the bank's primary funding source, the cheapest form of financing, and the engine of net interest income. Subtracting cash and adding deposits to equity value does not produce a meaningful "operating" value. It produces a number that has no interpretive use.
The same problem applies to insurance companies. An insurer's policyholder reserves (the estimated future claims the insurer must pay) are liabilities, but they are not financing liabilities. They are the direct result of the insurer's core underwriting activity. The float generated by collecting premiums before paying claims is an operating asset, not a financing decision. Enterprise value cannot capture this.
- The Operating vs. Financing Distinction
In traditional corporate valuation, activities are categorized as either operating (related to the core business: revenue, COGS, SG&A, working capital, capex) or financing (related to how the business is funded: debt issuance, interest payments, equity raises, dividends). EV and unlevered metrics are designed to isolate operating performance from financing decisions. For financial institutions, this categorization breaks down because the "financing" activities ARE the operating activities. A bank's interest expense on deposits is not a financing cost; it is the cost of goods sold. A bank's borrowings from the Federal Home Loan Bank or the repo market are not leverage choices; they are inventory procurement. An insurer's reserves are not debt; they are the direct liability from the core product. When the distinction between operating and financing dissolves, every tool built on that distinction (EV, EBITDA, unlevered FCF, WACC, ROIC) becomes unreliable.
Why EBITDA Is Meaningless for Banks
EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) adds back interest expense on the assumption that interest is a financing cost, not an operating cost. For a bank, this is catastrophically wrong.
A typical bank's income statement starts with interest income (interest earned on loans, securities, and other earning assets) minus interest expense (interest paid on deposits, borrowings, and other funding sources), yielding net interest income. At most US banks, net interest income represents 50-70% of total revenue. Adding back interest expense would obliterate the most important line item on the income statement and produce a number that overstates the bank's operating economics by hundreds of percent.
Consider a simplified example. A bank earns $10 billion in interest income and pays $6 billion in interest expense, producing $4 billion in net interest income. It earns another $3 billion in non-interest income (fees, trading, advisory), giving $7 billion in total revenue. After $4 billion in non-interest expense, pre-tax income is $3 billion. EBITDA would add back the $6 billion in interest expense, producing $9 billion, a number that is 3x pre-tax income and has no relationship to the bank's actual operating performance.
Why Unlevered DCF Fails
The standard DCF model for non-financial companies projects unlevered free cash flow (UFCF), defined as EBIT(1-t) + D&A - capex - changes in working capital. This projection is then discounted at WACC (weighted average cost of capital) to arrive at enterprise value. Subtracting net debt yields equity value.
Every component of this formula breaks for banks:
EBIT: as discussed, separating interest from operating income is impossible when interest IS operating income.
Capital expenditure: for a manufacturing company, capex is spending on property, plant, and equipment. For a bank, the equivalent of "capex" is loan origination and securities purchases (investing the balance sheet to generate interest income). But these are not capital expenditures in the accounting sense; they flow through the balance sheet as assets, funded by deposits and borrowings.
Working capital: for a retailer, working capital is inventory plus receivables minus payables. For a bank, the "working capital" equivalent would be the entire deposit base, loan portfolio, and securities portfolio. Changes in these items dwarf any meaningful cash flow analysis.
WACC: the weighted average cost of capital blends the cost of equity and the after-tax cost of debt. For a bank, "debt" includes deposits (which have a specific cost: the deposit rate), wholesale borrowings (FHLB advances, repo, etc.), subordinated debt, and various other funding sources. The cost of each varies, and the "debt" is not a financing decision but an operating necessity. WACC as a discount rate produces a nonsensical composite number.
- The Equity-Level Valuation Framework
Because enterprise-level valuation breaks, all FIG valuation operates at the equity level. The framework uses three categories of tools. Relative valuation: P/E, P/BV, P/TBV, and the justified P/BV ratio (which links ROE to fair P/BV through the Gordon Growth Model). Intrinsic valuation: the dividend discount model (DDM, which values equity as the present value of future dividends, discounted at cost of equity) and the excess return model (which values equity as book value plus the present value of future returns above cost of equity). Specialized approaches: embedded value for life insurers, AUM-based valuation for asset managers, SOTP for diversified financial conglomerates, and EBITDA multiples for the limited FIG sub-sectors (insurance brokers, exchanges, fintech) where standard metrics apply.
The Regulatory Capital Constraint
In non-financial valuation, the binding constraint on a company's financial flexibility is typically its debt covenants (leverage ratios, interest coverage, etc.) and its access to capital markets. For financial institutions, the binding constraint is regulatory capital.
Banks must maintain minimum ratios of capital to risk-weighted assets: CET1 (Common Equity Tier 1), Tier 1 Capital, and Total Capital under Basel III. US G-SIBs face additional requirements including G-SIB surcharges, the stress capital buffer (determined by CCAR stress tests), and total loss-absorbing capacity (TLAC) requirements. CET1 ratios across US banks have reached their highest levels in a decade, reflecting the post-crisis regulatory framework's emphasis on capital adequacy.
Regulatory capital affects valuation in three direct ways:
Dividend capacity: banks cannot distribute earnings that would bring capital ratios below regulatory minimums (plus buffers). This makes the DDM the natural intrinsic valuation model: the present value of future dividends is the present value of distributable earnings, which are constrained by regulatory capital requirements.
Growth capacity: balance sheet growth (more loans, more securities) requires additional capital to maintain ratios. A bank with excess capital can grow organically; a capital-constrained bank cannot. This growth constraint is embedded in the terminal growth rate of valuation models.
M&A capacity: acquiring another bank requires capital to absorb the target's risk-weighted assets and any goodwill. TBV dilution and earn-back periods are the key metrics in bank M&A precisely because they measure the impact on the regulatory capital constraint.
| Valuation Concept | Non-Financial | Financial Institution |
|---|---|---|
| Value measure | Enterprise value | Equity value |
| Operating profit | EBITDA / EBIT | PPNR (Pre-Provision Net Revenue) |
| Cash flow | Unlevered FCF | Dividends / distributable earnings |
| Discount rate | WACC | Cost of equity |
| Primary multiple | EV/EBITDA | P/E, P/BV, P/TBV |
| Intrinsic model | Unlevered DCF | DDM, Excess Return Model |
| Return metric | ROIC | ROE, ROTCE |
| Binding constraint | Debt covenants | Regulatory capital ratios |
| "Leverage" role | Financing choice | Operating necessity |
When Standard Valuation Does Work in FIG
Not every financial institution defies traditional valuation. There are specific FIG sub-sectors where EV/EBITDA and standard multiples apply because the companies in question do not use leverage as an operating input:
Insurance brokers (Marsh, Aon, Arthur J. Gallagher) earn commission and fee revenue without underwriting risk or significant balance sheet leverage. They are valued on EV/EBITDA at 12-18x, similar to professional services firms.
Stock exchanges and market infrastructure companies (NYSE/ICE, Nasdaq, CME Group) earn transaction fees and data subscription revenue. They are valued on EV/EBITDA and P/E, with premium multiples reflecting recurring revenue and competitive moats.
Financial data companies (S&P Global, MSCI, FactSet, Verisk) earn subscription revenue from data and analytics. They are valued like SaaS companies on EV/Revenue and EV/EBITDA.
Fintech companies that do not hold a bank charter or significant loan portfolios (payment processors, software platforms) can be valued on revenue multiples and EV/EBITDA. However, as fintechs mature and acquire banking licenses, their valuation methodology migrates toward traditional FIG approaches.
The key test is whether the company uses leverage (deposits, policyholder reserves, borrowed funds) as an operating input to generate revenue. If yes, equity-level valuation is required. If no, standard corporate valuation may apply.
The equity-level valuation framework applies universally across jurisdictions, but the specific regulatory constraints shaping valuation differ. European banks operate under the ECB's Single Supervisory Mechanism with Basel III implemented through CRD VI/CRR III, while US banks follow Federal Reserve requirements that historically allowed certain implementation differences (such as the AOCI opt-out for smaller banks). Solvency II in Europe and Risk-Based Capital in the US impose different capital frameworks on insurers, which affects how embedded value, reserve adequacy, and distributable earnings are calculated. For cross-border FIG work, the valuation methodology (equity-level, not enterprise-level) remains constant, but the capital constraint parameters, accounting standards (IFRS 9 vs. US GAAP CECL for credit losses, IFRS 17 vs. US statutory accounting for insurance), and regulatory buffers must be jurisdiction-specific.
Understanding why traditional valuation breaks is the foundation for everything that follows in FIG valuation. The P/BV and P/TBV framework, the justified P/BV derivation, the dividend discount model, and every specialized methodology in this section all flow from the same insight: when debt is the business, only equity-level tools produce meaningful results. Mastering this distinction is what separates FIG candidates from generalists in interviews and FIG analysts from generalists in practice.


