Valuation Methodologies

Comparable Company Analysis

Comparable company analysis, commonly called "trading comps," values a business by applying valuation multiples — most commonly EV/EBITDA, EV/Revenue, and P/E — observed in the current trading prices of similar, publicly traded peer companies to the subject company's own financial metrics. It is a relative valuation method: rather than deriving value from the subject company's own forecast cash flows, as DCF does, it derives value from how the market is currently pricing genuinely comparable businesses. Trading comps reflect a minority, marketable basis of value, since the observed prices are for freely traded, non-controlling shares, not for control of the company.

How to Build a Comparable Company Analysis

Building a comparable company analysis correctly requires more than pulling a list of same-industry tickers. This guide walks through the full build in order — defining defensible peer selection criteria, spreading each peer's financials and calculating its multiples, calendarizing every peer to a common fiscal period, identifying and handling outliers, and applying the resulting multiple range to the subject company's own metrics — along with the structural checks that confirm each step has been performed consistently across the entire peer set.

Precedent Transaction

Precedent transaction analysis values a business by applying multiples paid in comparable historical M&A transactions to the subject company's own financial metrics. Because these multiples reflect what an acquirer actually paid to gain control of the target, they embed a control premium that comparable company (trading comps) multiples do not. Precedent transactions also embed deal-specific dynamics — synergies, competitive tension, and prevailing market conditions at the time of the deal — that do not always generalize to a new transaction, and the available transaction set for a given sector or time period can be thin or stale.

Precedent Transactions Analysis

Building a precedent transaction analysis requires screening a population of historical M&A deals down to a genuinely comparable set, calculating each deal's transaction multiple on a consistent basis, and adjusting where necessary for disclosed synergies or deal-specific circumstances that would not transfer to the subject transaction. This guide walks through the full build in order — deal screening by timing relevance, deal size, and buyer type; transaction multiple calculation; and adjustment for deal-specific dynamics — along with the structural checks that confirm the resulting multiple range is defensible and reproducible.

Asset-Based Valuation

Asset-based valuation values a business as the fair value of its underlying assets less its liabilities, rather than as a function of its earnings or cash-generating capacity. It is the practical implementation of the asset-based approach, one of the three classical valuation approaches alongside the income approach (DCF) and the market approach (comparable company analysis and precedent transactions). Asset-based valuation is most relevant for asset-heavy, holding-company, investment-fund, or liquidation scenarios, where the fair value of specific, often independently appraisable assets is a more reliable indicator of value than a going-concern earnings or cash flow forecast.

Net Asset Value (NAV)

Net Asset Value (NAV) is the fair value of a company's assets minus its liabilities — the specific numerical output produced by an asset-based valuation. NAV is most commonly used as the primary valuation basis for real estate companies and REITs, where it is built up asset-by-asset from independently appraised or capitalized property values, and for investment funds, where it is built from the fair (typically market) value of the fund's underlying holdings. NAV per share, calculated by dividing total NAV by diluted shares outstanding, is a standard benchmark against which a real estate company's or fund's trading price is compared.

LBO Valuation

LBO-implied valuation derives the maximum price a financial sponsor could pay for a target and still achieve a target internal rate of return or multiple of money at a defined exit, given an assumed capital structure and debt paydown schedule over the hold period. Unlike DCF, comparable company analysis, or asset-based valuation, which each build a value estimate forward from cash flows, market multiples, or assets, LBO valuation works backward from a required return — it is properly understood as an implied-value technique used alongside the three classical valuation approaches in a private equity context, not as a substitute for them.

How to Build an LBO Valuation

Building an LBO-implied valuation requires constructing a full leveraged buyout model and solving it backward for the entry price consistent with a target return. This guide walks through the build in order — the sources and uses of funds, the opening debt and equity structure, the debt paydown mechanics over the hold period, the exit multiple assumption, and the final step of solving for the maximum entry price at a target IRR or multiple of money — along with the structural checks that confirm the model is internally consistent and the resulting entry price is defensible.

Comparable Company Analysis vs. Precedent Transactions

Comparable company analysis and precedent transaction analysis are the two principal techniques within the market approach to valuation, and while both derive value from observed pricing of similar businesses, they differ in a structurally important way. Comparable company analysis (trading comps) reflects the current price of freely traded, minority shares — liquid, frequently updated, but carrying no control premium. Precedent transaction analysis reflects the price actually paid to acquire control of a company in a historical M&A deal — embedding a control premium and deal-specific dynamics, but drawn from a data set that is far less frequent, and can be stale or scarce for a given sector or time period.

Sum-of-the-Parts (SOTP) Valuation

Sum-of-the-Parts (SOTP) valuation is a technique for valuing a multi-segment or multi-asset business by valuing each distinct segment or asset separately — often using a segment-specific DCF, or a different valuation method suited to that segment's characteristics — and then summing the resulting values, with adjustments for shared corporate costs, net debt, and other consolidated items. SOTP is used where a single, consolidated DCF for the whole business would obscure meaningful differences between segments, such as different growth rates, risk profiles, discount rates, or capital structures. Because different segments can warrant materially different discount rates and terminal growth assumptions, applying a single blended discount rate across a diversified business, as a consolidated DCF implicitly does, can significantly misstate the value of one or more segments.

Residual Income Model

The residual income model values a company's equity as the sum of its current book value of equity and the present value of expected future residual income — the economic profit attributable to equity holders, defined as net income minus a charge for the cost of equity capital employed. Because the residual income model anchors on a known, observable current book value and only discounts the incremental value created above the cost of equity going forward, it is often considered less sensitive to terminal value assumptions than a standard DCF, where nearly all value can sit in a distant, uncertain terminal figure. Under consistent assumptions about future income, book value evolution, and the discount rate, the residual income model, a standard DCF, and the dividend discount model are all mathematically reconcilable to the same total equity value.

Economic Profit

Economic profit, also known as economic value added, measures the value a business creates in a given period above and beyond the cost of the capital employed to generate it. It is calculated as NOPAT minus a capital charge, where the capital charge is invested capital multiplied by the weighted average cost of capital. A business earning a return on invested capital exactly equal to its cost of capital generates zero economic profit in a period, even though it is generating a positive accounting profit — it is merely covering its cost of capital, not creating incremental value for capital providers. Economic profit provides a period-by-period lens on value creation that complements the single, aggregate present-value figure produced by a standard DCF, and underlies the residual income valuation model, which is mathematically reconcilable to DCF under consistent assumptions.

Football Field Chart

A football field chart is a graphical summary that presents the output of several valuation methodologies side by side as horizontal bars, each spanning a low-to-high range along a common value axis. Typical inputs include a discounted cash flow valuation range, comparable company trading multiples, precedent transaction multiples, and the 52-week trading range for a listed target. The chart is named for its resemblance to the yard markings on an American football field. Its purpose is to communicate a defensible valuation range rather than a false-precision single number, and to show where independent methodologies converge or diverge.

Control Premium

A control premium is the additional amount, expressed as a percentage above the per-share trading or minority value, that a buyer is willing to pay to acquire a controlling interest in a business. The premium reflects value that is only accessible to a controlling holder — the ability to redirect strategy, replace management, extract synergies, alter the capital structure, or control the timing and amount of distributions. Control premiums are commonly observed and measured in precedent M&A transactions and are the conceptual inverse of a minority discount.

Minority Discount

A minority discount is the reduction applied to a non-controlling equity stake's pro-rata share of a company's control value, reflecting the fact that a minority holder cannot direct strategy, replace management, force a sale, or control the timing and amount of distributions. It is the conceptual inverse of a control premium: rather than adding a premium to reach a control value, a minority discount subtracts from a control value to reach the value realistically attainable by a non-controlling holder. Minority discounts are commonly applied in private company valuation, shareholder disputes, and estate and gift tax valuation.

Illiquidity Discount (Marketability Discount)

An illiquidity discount, also called a marketability discount, is a reduction applied to the value of a private or otherwise illiquid interest relative to a comparable, freely tradable public asset. It reflects the fact that an illiquid interest cannot readily be converted to cash — there is no active market, a sale process takes time, incurs transaction costs, and may not achieve full value, and the holder bears the risk of an adverse market move during that process. Illiquidity discounts are commonly applied in private company valuation and are conceptually distinct from, though frequently combined with, a minority discount.

Discounted Cash Flow (DCF) Valuation

Discounted cash flow (DCF) valuation values a business, project, or asset as the present value of the cash flows it is expected to generate in the future. It is the most theoretically grounded of the major valuation methodologies, resting directly on the principle that a dollar of cash flow is worth more today than the same dollar received in the future, and that value is created when future cash flows exceed what capital providers require as compensation for the time value of money and risk. This page is the hub for the Knowledge Centre's DCF content: what DCF is and why it works, how free cash flow and discount rates are built, how terminal value is calculated and stress-tested, the method variants practitioners choose between, and — distinctively — how DCF failure modes map onto FMAE's existing structural audit rule taxonomy, since no generic valuation resource ties DCF mechanics to a named, testable audit standard.

Financial Modelling Best Practices — Standards Compared

Financial modelling best practice is not a single document but a landscape of named institutional standards, each publishing its own conventions for how a model should be structured, formatted, and documented. This page defines that landscape — what a named modelling standard actually is, how the FAST Standard and the ICAEW Financial Modelling Code differ in approach and scope, and how a practitioner chooses between them or applies more than one. It sits beside, not instead of, the Knowledge Centre's structural-foundation page on what makes an Excel financial model reliable — this page is about who has codified that discipline into a named standard, and how those standards compare to one another.

What Is a Financial Model Audit?

A financial model audit is an independent, structured examination of an Excel based financial model to confirm that its mechanics, logic, and outputs are reliable enough to support a decision. It is not a check of whether the assumptions are optimistic or conservative. It is a check of whether the model actually calculates what its author believes it calculates. Every year, lenders extend debt, investment committees approve capital, and boards sign off on transactions using numbers that came out of a spreadsheet nobody outside the immediate deal team has independently verified. A financial model audit exists to close that gap before it becomes expensive.

Financial Statements in Financial Modelling

The income statement, balance sheet, and cash flow statement are the three financial statements that together describe a company's or project's performance, financial position, and cash movements. In a financial model, these are not three independent outputs — they are dynamically linked, so that a single change in an assumption flows correctly through all three, and the balance sheet balances in every period as a direct consequence of that linkage rather than as a plug engineered to force it. This page is the hub for the Knowledge Centre's financial statements content: what each statement represents, how a three-statement model integrates them, where financial-statement mechanics anchor broader industry models, and how a structural audit tests statement integration for the errors that most commonly break it.

Financial Forecasting in Financial Models

Financial forecasting is the process of projecting a business's future financial performance from a defined set of operating drivers and assumptions, structured so that every forecast line traces back to a labelled, auditable input rather than a value typed directly into a calculation. It underpins every model built for valuation, budgeting, financing, or investment decision-making, and it is also one of the areas of a financial model most prone to silent structural failure, since a forecast that looks complete can still rest on drivers that are hardcoded, undocumented, or inconsistently applied from one period to the next. This page is the hub for the Knowledge Centre's forecasting content: what a forecast driver is, the major forecasting methodologies and when each applies, the governance distinction between a budget and a forecast, rolling forecasts, and how forecasting failure modes map onto FMAE's existing structural audit rule taxonomy.

Investment Analysis and Capital Budgeting

Investment analysis and capital budgeting is the discipline of deciding whether a project or investment is expected to create value, using a toolkit of quantitative techniques — net present value, internal rate of return, modified internal rate of return, payback period, and the profitability index — each applied to the same underlying forecast cash flow series but answering a subtly different question. This page is the hub for the Knowledge Centre's investment analysis content: what each technique measures, how the techniques relate to and sometimes conflict with one another, how discount rates and hurdle rates are set, how risk is layered onto the analysis through sensitivity, scenario, and Monte Carlo methods, and — distinctively — how capital-budgeting failure modes map onto FMAE's existing structural audit rule taxonomy.

Corporate Finance and Capital Structure

Corporate finance and capital structure is the set of decisions a company makes about how to fund itself — the mix of debt and equity it carries, the blended return it must earn to satisfy both groups of capital providers, and how it returns surplus cash to shareholders once those obligations are met. These decisions are not made once and left alone: capital structure is actively managed against a trade-off between the tax and discipline benefits of debt and the real costs of financial distress, cost of capital sets the hurdle every investment decision is measured against, and dividend policy and share buybacks are the two channels through which excess cash returns to owners. This page is the hub for the Knowledge Centre's corporate finance and capital structure content: the debt-vs-equity financing decision, Modigliani-Miller's capital structure theory and its real-world violations, cost of capital as a capital-allocation hurdle rate, dividend policy and buybacks, the credit metrics lenders and rating agencies use to assess leverage capacity, and covenant analysis as the contractual mechanism through which lenders constrain capital structure after financing is in place.