Valuation Methods Applied to the Target

The four methods are not interchangeable. Each one frames a different question: what would the public market pay for the target as a minority interest, what have control bidders paid in comparable deals, what is the target worth on a cash-flow-discounted basis, and what is the maximum a financial sponsor could pay and still clear an internal-rate-of-return (IRR) hurdle?

Method 1: Trading Comparables (Trading Comps)

Trading comps build a peer set of publicly traded companies and apply their trading multiples to the target's metrics.

• Peer-set selection: industry, size band, growth profile, and geography matched to the target
• Trading multiples: enterprise value to earnings before interest, taxes, depreciation, and amortization (EV / EBITDA); enterprise value to sales (EV / Sales); enterprise value to earnings before interest and taxes (EV / EBIT); price-to-earnings (P / E)
• Output: implied value range from applying peer-multiple medians and quartiles to the target
• Control premium: none (pure equity-market read on a minority-interest value)
• Best use: setting the standalone equity value floor of the target

Exam Tip: Gotchas

• Trading comps reflect minority-interest, public-market trading levels. They do NOT include a control premium. A control bid will sit above the trading-comp range unless the target is already trading at takeout multiples for sector-specific reasons.

Method 2: Precedent Transactions

Precedent-transaction analysis builds a set of historical M&A deals in the same industry and target profile, then applies the deal-level multiples.

• Deal-set selection: historical transactions matched on sector, deal size, and target profile
• Transaction multiples: EV / EBITDA at deal, EV / Revenue at deal, equity premium to unaffected price
• Control premium: built in (multiples are systematically higher than trading comps)
• Typical control premiums: 25% to 50%+ above the unaffected pre-announcement target price
• Best use: control-bid benchmark; anchors the high end of the football-field valuation chart

Exam Tip: Gotchas

• Precedent transactions systematically come out HIGHER than trading comps because they incorporate the control premium (25% to 50%+). When a banker shows a football-field valuation, expect precedent transactions to anchor the high end and trading comps to anchor the low end.

Method 3: Discounted Cash Flow (DCF) Analysis

The DCF projects the target's free cash flow over an explicit forecast horizon and adds a terminal value for everything beyond.

• Explicit forecast horizon: typically 5 to 10 years
• Discount rate: the weighted-average cost of capital (WACC) of the target's risk profile
• Terminal value (TV): dominates the output, typically representing about 75% of the total DCF value → terminal-value assumptions drive the answer

Two terminal-value methods are standard:

• Perpetuity-growth method: TV = FCF_final × (1 + g) / (WACC − g), where g is the long-run growth rate; g is typically 2% to 3% (a long-run gross-domestic-product or inflation proxy)
• Exit-multiple method: TV = EBITDA_final × exit multiple, where the exit multiple is often the trading-comp median EV / EBITDA

Subtract net debt (debt minus cash) from the resulting enterprise value to get equity value.

Think of it this way: a DCF tells the banker what the target is worth on its own cash-generation merits, independent of market-comparable noise. The catch is that terminal value drives about three-quarters of the output, and terminal value is the part of the model with the weakest empirical grounding.

Exam Tip: Gotchas

• Terminal value drives about 75% of the DCF output. A 100 basis-point change in the perpetuity growth rate or a 1.0x change in the exit multiple can swing the answer 20% or more. Always run terminal-value sensitivity tables and never present a DCF point estimate without the bracketing range.
• DCF can incorporate a control premium implicitly through projections. If the banker has built synergy-loaded projections, the DCF is no longer a pure standalone valuation; the output reflects whatever control or synergy assumptions are baked into the forecast.

Method 4: Leveraged Buyout (LBO) Analysis

The LBO model assumes a financial sponsor (private-equity firm) purchases the target funded mostly with debt, holds for a few years, and exits.

• Typical capital structure: 50% to 70% debt + 30% to 50% equity at close; recent higher-rate environments have pushed equity to 45% to 55%
• Debt layers (senior to junior): revolver / term loan B (senior secured) / second lien / subordinated notes / mezzanine / sponsor equity
• Target IRR: roughly 20% to 25%+ gross IRR to sponsor equity over a 3 to 7 year hold (typically 4 to 5 years)
• Multiple of invested capital (MOIC): typically 2.0x to 3.0x over the hold
• Modeling lever: pay down debt from 4x to 6x leverage at close to 2x to 3x at exit, using free cash flow
• Output: the maximum price a financial buyer can pay while clearing the IRR hurdle

The LBO output sets the strategic buyer's floor for control bids: a strategic bidder who cannot beat the LBO maximum loses the asset to a sponsor.

Exam Tip: Gotchas

• The LBO floor sets the strategic-buyer walkaway. If a sponsor will pay $50 per share and clear a 20% IRR, a strategic buyer who cannot beat $50 loses the asset. A strategic buyer with real synergies SHOULD be able to outbid a sponsor (because synergies expand the LBO model); when a strategic loses to a sponsor, it usually means the strategic over-discounted synergies or had real integration risk.
• LBO target IRR is GROSS (to the sponsor equity), not net to limited partners. Net IRR after fees and carry is materially lower; do not confuse the two when modeling.

Standalone Versus Pro-Forma Valuation

Standalone and pro-forma framings produce different bid anchors. The banker uses both.

Think of it this way: the standalone valuation tells the banker the lowest price the target board can defend. The pro-forma valuation tells the banker the highest price the buyer can pay. The deal is negotiated inside the spread between the two.

Method Comparison

Accretion / Dilution Math

Accretion / dilution analysis tests whether the deal raises or lowers the acquirer's pro-forma earnings per share (EPS).

The pro-forma EPS formula:

Pro-forma EPS = (acquirer net income + target net income + after-tax synergies − after-tax financing cost) / pro-forma share count

• Accretive: pro-forma EPS > standalone acquirer EPS
• Dilutive: pro-forma EPS < standalone acquirer EPS
• All-cash deals: tend to be more accretive (low after-tax cost of debt; no new shares) provided the target P / E is reasonable
• All-stock deals: accretive only when target earnings yield > acquirer earnings yield (roughly, target P / E < acquirer P / E)

Exam Tip: Gotchas

• All-stock accretion / dilution flips on the relative P / E. When the acquirer trades at a higher P / E than the target, a stock-for-stock deal at the target's price is accretive (the acquirer is buying lower-earnings-yield stock with higher-earnings-yield currency). When the acquirer trades at a lower P / E than the target, a stock-for-stock deal is dilutive. The direction does NOT depend on absolute price; it depends on the relative earnings yields.