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Fundamentals

LBO Model Explained: Paper Math for PE Diligence Cases

Build a five-year paper LBO with IRR and MOIC, then map the three return levers to what PE diligence actually tests. Anchored to Bain and SEC filings.

UpdatedReviewed by Ned

Most consulting candidates who "know an LBO" can recite build order and still freeze when a PE diligence case asks whether the thesis survives at a flat exit multiple. The sheet is not grading your cash-sweep waterfall. It is grading whether you can run a five-year paper LBO, name the three return levers, and show which ones your diligence work actually moves.

After this piece you should be able to build that table under time pressure, attribute the return to EBITDA growth, debt paydown, and multiple change, and tell the interviewer which diligence workstream informs which lever. Verbal drill answers live in the sibling post on LBO interview questions.

What the interviewer is actually testing

In a modeling test or banking technical, the LBO is a machine: sources and uses, operating forecast, debt schedule, circularity, exit. In a consulting PE diligence case, the LBO is a scorecard. The partner already has a banker model somewhere. What they want from you is judgment about whether the operating plan that fills that model is real.

I stop listening when a candidate spends eight minutes on revolver vs. term loan B and never says which diligence finding would break the IRR. The room cares about three questions: Can you size entry equity and debt from a multiple and an EBITDA? Can you roll five years of growth and free cash into an exit equity value? Can you say, without hedging, which of the three return drivers your work supports?

The three levers of LBO returns

Every sponsor return decomposes into three drivers of exit equity versus entry equity:

LeverWhat changesWho mostly controls it
EBITDA growth (and margin mix)Exit enterprise value rises at a given multipleOperations, commercial diligence, management
Debt paydownNet debt falls, so more of exit EV accrues to equityCash conversion: capex, working capital, interest burden
Multiple expansion or contractionExit EV/EBITDA differs from entryBuyers, rates, comps; mostly outside the diligence team

Bain's Global Private Equity Report 2025 puts numbers on why the first lever now carries more weight. Average North American buyout multiples sat at 11.9x EBITDA in 2024, with Europe at a record 12.1x, while US LBO debt ratios only climbed to about 4.9x EBITDA — still below pre-pandemic levels. High entry prices and capped leverage shrink the room for financial engineering. Average buyouts in Bain's DealEdge cut have historically cleared closer to 1.8x MOIC; top-quartile deals nearer 2.7x. That gap is mostly operating performance, not a kinder exit multiple.

Carve-outs make the same point in reverse. Pre-2012 carve-outs averaged about 3.0x MOIC with strong revenue and margin lifts; post-2012 averages fell to about 1.5x as price competition rose and operational improvement slipped. Diligence that cannot defend EBITDA growth is diligence that leaves the sponsor hoping for multiple expansion.

Ned's rule. Model the base case at a flat exit multiple. If the deal only works because the exit multiple rises, you do not have a diligence thesis — you have a market call.

A fully worked five-year paper LBO

Invent a mid-market packaging company, Northline Packaging. Trailing EBITDA is $40 million. The sponsor bids 10.0x EV/EBITDA, funds half the enterprise value with senior debt, and holds for five years. EBITDA grows 10 percent a year. Excess free cash available for debt paydown averages $20 million a year after interest and mandatory items. Exit multiple equals entry: 10.0x. No fees, no preferred, no management promote — paper LBO simplifications so the arithmetic stays audible.

ItemEntry (Y0)Y1Y2Y3Y4Exit (Y5)
EBITDA ($m)40.044.048.453.258.664.4
Beginning debt ($m)200.0200.0180.0160.0140.0120.0
Debt paydown ($m)—20.020.020.020.020.0
Ending debt ($m)200.0180.0160.0140.0120.0100.0
Enterprise value ($m)400.0————644.0
Equity value ($m)200.0————544.0

Build order for the table:

  1. Entry EV = 10.0 × $40m = $400m.
  2. Debt at close = 50% of EV = $200m (5.0x entry EBITDA). Sponsor equity = $200m.
  3. Year-5 EBITDA = $40m × (1.10)^5 ≈ $64.4m.
  4. Cumulative debt paydown = 5 × $20m = $100m. Exit net debt ≈ $100m.
  5. Exit EV = 10.0 × $64.4m = $644m. Exit equity = $644m − $100m = $544m.
  6. MOIC = $544m / $200m = 2.72x. Approximate IRR = 2.72^(1/5) − 1 ≈ 22%.

Those returns are in the ballpark of what sponsors still pitch as "respectable" for a mid-market hold when leverage is not heroic. They are not magic. They come almost entirely from growing EBITDA and paying down debt at an unchanged multiple.

Returns bridge for Northline

DriverDollar contribution to equity gain ($m)How you get it
Debt paydown100Ending debt $100m below entry debt
EBITDA growth at flat 10x244($64.4m − $40.0m) × 10.0
Multiple expansion0Exit multiple = entry multiple
Total equity gain344Exit equity $544m − entry equity $200m

If you raise the exit multiple to 11.0x for a sensitivity, exit EV becomes $708m, exit equity $608m, MOIC 3.04x, IRR about 25 percent. That extra three points of IRR is the market's gift, not your diligence finding. In the interview, put it in a sensitivity column and keep the base case flat.

How a real filing shows the same skeleton

Public take-private proxies and banker books publish the same skeleton with messier capital structures. In January 2026 banker materials filed with the SEC for the proposed take-private of KORE Group Holdings (project code "Kona"), an illustrative lender case at a $9.25 offer price assumed roughly 9.6x entry EV / 2026E EBITDA, about 4.5x funded leverage on trailing adjusted EBITDA, and a 2029 exit at 10.0x on $98.9m of EBITDA. That case showed about 2.8x MOIC and a 44% IRR on sponsor proceeds — before you get into preferreds, rollovers, and who keeps the free cash.

Notice what the filing still forces you to read: entry multiple, leverage, exit EBITDA, exit multiple, remaining debt and preferred, then MOIC and IRR. Your paper LBO is the same math with fewer tabs. When a diligence case hands you a banker book, start by reconstituting that table before you argue about channel mix.

Which diligence workstream informs which lever

Map the three levers to the workstreams a consulting team actually runs. This is the part banking guides skip and interviewers reward.

Diligence workstreamPrimary lever informedWhat "good" sounds like in the room
Commercial / marketEBITDA growthVolume and price assumptions survive customer checks; win rates are not fantasy
Operations / costEBITDA growth (margin)Synergy or margin plan has owners, timing, and a one-time cost line
Financial quality of earningsDebt paydownCash EBITDA converts; working capital and maintenance capex are not understated
Capital structure / financingDebt paydown (interest and amortization)Coverage holds in a downside; paydown schedule is not wishful
Exit comps and buyer setMultiple (sensitivity only)You can name likely strategic or sponsor buyers; you do not bake expansion into the base case

If your commercial diligence cuts volume growth from 10 percent to 6 percent, Northline's year-5 EBITDA falls to about $53.5m. At a flat 10x and the same $100m of paydown, exit equity drops to about $435m, MOIC to 2.18x, IRR to roughly 17 percent. That single diligence revision is worth more interview points than a perfect debt waterfall.

Paper LBO vs. full model: what to skip under time pressure

A full LBO model adds transaction fees, multiple debt tranches, PIK interest, circularity between interest and cash sweep, minimum cash, and a three-statement forecast. Keep that for a modeling test. In a diligence case, force yourself to:

  • One blended debt rate and one paydown line.
  • Flat exit multiple in the base case; one expansion / contraction sensitivity.
  • Rounded numbers you can defend out loud ($20m of annual paydown, not $19.7m).
  • A returns bridge in three lines before you discuss anything else.

You can still mention that real loan agreements often sweep a share of excess cash to senior lenders. You do not need to model the sweep to win the case.

Practice this on a diligence-shaped case

Take any growth or margin case on CoachNed and add an LBO frame at the end: invent a 10x entry, 50 percent debt, five-year hold, flat exit multiple, and a simple annual free-cash figure. Build the Northline-style table in under eight minutes, then state which of your case recommendations move EBITDA versus cash conversion.

Start with a five-minute typed rep at /start (three turns, instant scores, no account), then run a live diligence-style case on /interview. Everything is open for seven days with no card; then $120 for a recruiting season or $49 a month. Pair the math with the verbal set in LBO interview questions.

Practice

Math drill

Answer a real case-math prompt and get AI-scored feedback on setup, units, and the business meaning.

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Frequently asked questions

What is a paper LBO in a consulting interview?

A paper LBO is the same entry–debt–growth–exit–returns logic as a full model, done with rounded arithmetic on paper or a whiteboard in roughly five to ten minutes. Consulting interviewers use it to test whether you can translate diligence findings into MOIC and IRR, not whether you can debug a circular reference.

How much leverage should I assume in a paper LBO?

Use what the prompt gives. If it is silent, a mid-market sketch of about 4.5x to 5.5x EBITDA debt, or roughly 40 to 55 percent of enterprise value, matches the post-rate-hike world Bain describes with US buyout debt near 4.9x EBITDA in 2024. Say the assumption out loud.

Should the exit multiple equal the entry multiple?

In the base case, yes, unless the interviewer gives you a different exit. Flat multiples force the return to come from EBITDA and deleveraging. Put multiple expansion in a sensitivity so the room sees you know it is not a diligence deliverable.

What IRR and MOIC look "good" in a case?

There is no universal cut-off. Many sponsors still talk about mid-teens to low-twenties IRRs and roughly 2x-plus MOIC over a five-year hold as a planning target, while Bain's average buyout MOIC history sits nearer 1.8x and top quartile nearer 2.7x. In the interview, calculate cleanly and judge the thesis against the sponsor's stated hurdle if one is given.

How is an LBO different from a DCF for diligence?

A DCF values the firm for a strategic or intrinsic buyer. An LBO values the equity check for a leveraged financial buyer and makes debt paydown explicit. Use both lenses when the case asks "what would a PE buyer pay," and keep the mechanics of the DCF in the sibling guide on building a DCF. CoachNed is not affiliated with McKinsey, BCG, Bain, Deloitte, or any firm named in this article.

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