Modelling Bundles for Finance Teams: How to Package Three-Statement, DCF, and LBO Into One Deliverable

A modelling bundle is a single Excel workbook that stacks an integrated three-statement model, a discounted cash flow (DCF) valuation, and a leveraged buyout (LBO) analysis so each layer draws from the same driver assumptions. Finance teams package these three deliverables together because they share roughly 70% of their inputs: revenue build, margin assumptions, working capital, capex, and debt schedules. Building one bundle instead of three separate files cuts version-control errors and turns a five-day analyst task into a two-day one.

The case for building modelling bundles for finance teams the right way, once, is that every downstream question a CFO, banker, or investment committee asks routes back to the same three views: what the company will earn, what it is worth on an intrinsic basis, and what a financial sponsor could pay for it. Wall Street Prep's Financial & Valuation Modeling certification treats these as one continuous curriculum for exactly this reason. The 3-statement model is the foundation under the DCF and the LBO, and neither can be built without it.

Why Finance Teams Package the Three Models Into One Deliverable

The typical mid-market finance team ships the same numbers to four different audiences in a given quarter: an operating forecast to the CEO, a valuation memo to the board, a lender package to the credit committee, and a sponsor pitch to prospective buyers. When each of those lives in its own Excel template, the driver cells drift. Revenue growth is 12% in the forecast, 11.5% in the DCF, and 13% in the LBO because someone updated one file and not the others.

A packaged modelling bundle solves this by making one set of driver tabs the source of truth. Corporate Finance Institute and Wall Street Prep both structure their premium templates this way: a single assumptions sheet feeds the income statement, the DCF cash flow build, and the LBO sources-and-uses. Change unit growth in one cell and every downstream valuation and IRR figure updates.

The benefits, in order of what a finance director will notice first:

One version of truth for revenue, margin, and capex assumptions across three deliverables.
Sensitivity tables that flex the same driver through DCF value, LBO IRR, and forecast EBITDA in one keystroke.
An audit trail a lender or auditor can follow from a top-line assumption to a debt covenant test.
Faster turnaround. Analysts stop rebuilding schedules that already exist two tabs away.

Next step: before you start building, map which cells will drive which downstream output. A one-page driver map decides the bundle's structure.

The Three-Statement Model: The Backbone Every Modelling Bundle Runs On

The three-statement model is the integrated Excel template that projects the income statement, balance sheet, and cash flow statement forward with each linked to the other two. Change depreciation on the income statement and net PP&E on the balance sheet updates, cash from operations on the cash flow statement updates, and the balance sheet still balances. That closed loop is the property every downstream model borrows.

Standard build sequence for the base layer of the bundle:

Pull 3 to 5 years of historicals from the target's 10-K and 10-Q filings on SEC EDGAR. Public filings are non-negotiable if you want the audit trail to survive a diligence question.
Build a revenue driver: units times price, subscribers times ARPU, or same-store growth times store count. A single formula that a reader can defend.
Project the income statement to EBIT using margin assumptions tied to historicals, not typed as constants.
Build the working capital schedule: DSO, DIO, DPO in days, driving accounts receivable, inventory, and accounts payable.
Build the PP&E schedule: opening balance, plus capex, less depreciation, equals closing balance. Depreciation feeds the income statement.
Build the debt schedule: opening balance, plus draws, less repayments, equals closing balance. Interest expense feeds the income statement.
Close the cash flow statement, plug the balance sheet with cash, and confirm the balance check reads zero across every forecast year.

Wall Street Prep flags a rule that keeps analysts out of trouble: a DCF model needs at least 5 years of explicit forecasts before terminal value, and an LBO model is typically annual over a 5-year hold. Build the three-statement forecast to 7 years and both downstream layers have the runway they need without a rebuild.

Next step: once your balance check is clean, freeze the driver tab and version-control it. Every subsequent tab reads from it.

Adding the DCF Layer to the Modelling Bundle

The DCF layer takes unlevered free cash flow out of the three-statement model, discounts it at the weighted average cost of capital (WACC), and adds a terminal value to produce an enterprise value. The trick with the bundle is to source every input from the base workbook rather than retyping.

The wiring inside the workbook:

Unlevered free cash flow = EBIT × (1, tax rate) + D&A, capex, change in net working capital. Every input already exists on the income statement, PP&E schedule, and working capital schedule.
WACC calculation on a dedicated tab: cost of equity via CAPM (risk-free rate, equity risk premium, levered beta), after-tax cost of debt, and target capital structure weights.
Terminal value using both methods and reconciled: Gordon Growth (FCF × (1 + g) / (WACC, g)) and exit multiple (terminal EBITDA × selected multiple). If they disagree by more than 15%, revisit the assumptions.
A sensitivity table flexing WACC and terminal growth rate across a 5×5 grid.

Financial Edge Training and MT Finance Institute both note that a 1% change in the terminal growth rate or a 1x change in the exit multiple can swing implied value by 20 to 30%. Terminal value routinely accounts for 60 to 80% of total DCF value, which is why sensitivity tables are non-optional in any bundle you hand to an investment committee.

McKinsey's preferred terminal value formulation, published in Valuation: Measuring and Managing the Value of Companies, is the value-driver method: TV = NOPAT × (1, g/ROIC) / (WACC, g). It forces the modeller to fund the capex needed to support the assumed growth, which prevents the most common DCF abuse of pairing a high terminal growth rate with a low reinvestment rate. If your bundle is going to a board audience, use this formulation and put the ROIC assumption on the assumptions tab.

Next step: build the sensitivity table before the point estimate. If the range crosses your walk-away price, the point estimate does not matter.

Adding the LBO Layer to the Modelling Bundle

The LBO layer answers a different question with the same numbers: what internal rate of return (IRR) and multiple on invested capital (MOIC) would a financial sponsor earn buying this business at a given price, funding it with a given capital structure, and exiting in year 5? The three-statement forecast supplies the EBITDA and free cash flow needed to size debt, service it, and repay it.

Standard LBO stack, wired into the bundle:

Transaction assumptions tab: entry EV/EBITDA multiple, transaction fees, financing fees, existing debt refinanced.
Sources and uses schedule: senior debt, subordinated debt, sponsor equity, management rollover on the sources side; purchase price, refinanced debt, and fees on the uses side.
Debt schedules for each tranche: opening balance, mandatory amortization, cash sweep, ending balance. Interest expense feeds the pro forma income statement.
Levered free cash flow build: EBITDA, cash taxes, interest, capex, change in working capital = cash available for debt paydown.
Returns waterfall: exit enterprise value at year 5 (exit multiple × year 5 EBITDA), less net debt at exit, equals equity value. Sponsor IRR and MOIC calculate from initial equity check to exit equity value.

Publicly disclosed benchmarks from investment banking recruiting materials at Blackstone and KKR give a useful calibration point. A 2024 Blackstone associate exercise used a $200M EBITDA target at 11x with 6x leverage, 6% growth, a 5-year hold, and a 10x exit multiple, generating roughly a 2.3x MOIC and 18% IRR. A 2024 KKR case used a $50M EBITDA SaaS asset at 18x with 5x leverage, 20% revenue growth, and a 17x exit, generating 3.5x MOIC and 28% IRR. Most buyout funds still target a 20 to 25% IRR hurdle over a 5-year hold, per Wall Street Oasis's aggregated case-study data.

Current transaction assumptions to plug in for a mid-market LBO as of early 2026, per aggregated recruiting materials: entry multiples of 7 to 12x EV/EBITDA depending on sector, leverage of 4.0 to 5.5x net debt to EBITDA, and senior secured debt priced at SOFR plus 400 to 600 basis points after spreads tightened from 2023 peaks.

Next step: run the returns waterfall against the same 5×5 sensitivity grid you built for the DCF. A deal that clears 20% IRR only at your most optimistic exit multiple is telling you something.

Packaging Modelling Bundles for Finance Teams: The Deliverable Checklist

The workbook build is 80% of the job. The remaining 20% is packaging it so a finance team can use it without a walk-through call. Every bundle you ship should include:

A cover tab with the model version, date, author, and a change log for the last 5 revisions.
A colour convention applied throughout: blue for hardcoded inputs, black for formulas, green for links to other tabs. This is the Wall Street Prep standard and it survives handoff between analysts.
A driver tab isolated from calculations, so a user can flex assumptions without touching any formula.
A summary output tab: forecast EBITDA and free cash flow, DCF enterprise value with sensitivity range, LBO IRR and MOIC at three cases (base, upside, downside).
Named ranges for the top 20 driver cells. When a reviewer opens the sensitivity table, they see WACC and TerminalGrowth, not $C$47 and $D$12.
A one-page written memo, 400 words or less, walking a non-modeller through the base case conclusion.

Finance teams that ship this deliverable in one workbook stop rebuilding the same three schedules for every request. When the CEO asks for a fresh valuation at a new revenue growth rate, the answer takes 30 seconds. When a lender asks for the same forecast run under a stress case, the model already has the toggle. That compounding time saving is why every serious training programme, from Wall Street Prep to Corporate Finance Institute, teaches the three models as one integrated build rather than three standalone templates.

The alternative, three separate files that pretend to share numbers, is the state most finance teams live in. It costs a full analyst week per quarter to reconcile, and it produces the kind of drift that gets flagged by an auditor. A ready-made bundle template, wired correctly on day one, retires that entire class of problem.