What’s your overall modeling philosophy?
My modeling philosophy is clarity over complexity. I build models that are decision-driven, transparent, and tied to business reality.
I start by aligning the model to the questions management needs answered, make all assumptions explicit, and design it so scenarios flow cleanly through the three statements.
A good model shouldn’t just calculate results — it should help leaders make smarter, faster decisions, from diligence all the way through integration.
Why are private companies valued at a discount to public companies?
Public company revenues are often significantly higher than private companies
A private company’s stock or equity is not liquid.
Public companies’ financial records are audited annually. Many private companies are not.
Public companies have to comply with transparency regulations like Sarbanes Oxley (SOX).
Walk me through building a 3 Statement Model
The guiding principle is to build a model that’s dynamic, transparent, and decision-focused — each assumption drives through to cash and valuation so management can test real-world scenarios.
I’d start by building the model in stages — beginning with a clean, auditable income statement, then the balance sheet, and finally the cash flow statement, making sure they’re fully linked through the key accounting relationships.
Income Statement
I project revenue using key business drivers — price, volume, or customer growth — and build down through gross margin, operating expenses, depreciation, interest, and taxes to arrive at net income. Assumptions here are driven by business logic, not just historical averages.
Balance Sheet
Next, I forecast key working-capital accounts — AR, inventory, AP — based on revenue. I also project fixed assets by rolling forward PP&E with CapEx and depreciation, and link debt and equity to reflect financing changes. Retained earnings are tied to net income minus dividends.
Cash Flow Statment
Then I connect the two: starting with net income, adjust for non-cash items like depreciation and changes in working capital (from the balance sheet) to get cash flow from operations. Add investing activities (CapEx, acquisitions, asset sales) and financing activities (debt drawdowns, repayments, equity issuances).
Finally, the model balances when the ending cash from the cash flow statement equals the cash line on the balance sheet.
Once it’s structurally sound, I run integrity checks — ensuring balance sheet balances, signs are correct, and cash flows reconcile. From there, I layer in metrics like FCF, leverage ratios, and valuation outputs.
What is a mini-DCF?
A mini-DCF is a quick, high-level discounted cash flow model that focuses on the main value drivers — growth, margins, CapEx, and WACC — without building full statements.
You project a few years of unlevered free cash flow, add a terminal value, and discount them to get enterprise value.
I use a mini-DCF early in a deal to cross-check valuation multiples or justify an offer range before committing resources to a full model.
Walk me through an M&A Model
I begin with the deal assumptions: purchase price, offer structure (cash, stock, or mix), financing terms, expected synergies, and transaction costs.
I bring in the acquirer’s and target’s standalone financial statements — usually 3–5 years of projections. I make sure the models are clean, with consistent line items and accounting treatment
I’d model transaction effects like integration costs, debt, interest, and purchase price allocation, then build a combined pro forma model.
For public companies, I’d run accretion/dilution to see the EPS impact and test sensitivities for synergy and deal structure.
For private companies, the final output would focus on pro forma enterprise value or IRR for each investor group. Once the post-deal ownership percentages are determined, I would also include an output that details how value creation is distributed.
How do you evaluate a potential divestiture?
When evaluating a potential divestiture, The goal is to determine whether selling or spinning off a business unit creates more long-term value than retaining it.
I first assess the strategic fit of the asset within the broader portfolio. Does this business align with the company’s core competencies and long-term strategy?
Next, I build carve-out financials to understand the unit’s true economics. This can be complex because shared costs (IT, HR, legal, facilities). I also evaluate dis-synergies — incremental costs the parent will incur after separation
Finally, I model the pro forma impact on the parent: leverage, liquidity, and return metrics — and analyze how the sale proceeds will be used (e.g., debt paydown, share buyback, reinvestment).
The goal is to ensure the divestiture increases overall shareholder value, not just short-term liquidity.
Walk me through how you would value a company.
I start by using the three core valuation methods — DCF, comparable companies, and precedent transactions.
For private companies, I often triangulate between the DCF (intrinsic value) and market multiples (relative value).
If data is limited, I normalize earnings, adjust for non-recurring items, and use industry benchmarks.
The goal is to frame a valuation range that’s both defensible and actionable, not over-engineered.
How would you calculate the EV of a private company?
For a private company, I calculate Enterprise Value using the same formula — EV = Equity Value + Debt – Cash — but since there’s no market cap, I estimate Equity Value using comps or precedent transactions.
I apply the relevant EV/EBITDA or EV/Revenue multiple to the company’s normalized financials, then adjust for debt and cash.
Because its a private company, I might also apply an illiquidity discount (10%) to the final value.
What is a Payback Period?
a financial metric used in business and finance to evaluate the time it takes for an investment to generate enough cash flows to recover the initial investment cost.
The payback period is calculated by dividing the initial investment cost by the annual cash flows generated by the investment.
Provides a rough estimate but doesnt account for time value of money or risks associated with the investment
What is Net Present Value?
Net Present Value measures the value today of future cash flows, discounted at a rate that reflects their risk — usually WACC.
A positive NPV means the project adds value; a negative NPV means it destroys value. In M&A, I use NPV to assess whether expected free cash flows and synergies justify the purchase price and to compare competing investment opportunities..
What does a negative NPV indicate? A positive NPV?
A positive NPV indicates that the investment or project is expected to generate more cash inflows than outflows and is therefore considered potentially profitable.
A negative NPV means that the investment or project is expected to generate more cash outflows than inflows and may not be financially viable.
What is the Internal Rate of Return?
A financial metric used in capital budgeting and investment analysis to evaluate the potential profitability of an investment or project.
IRR is the rate of return at which the net present value (NPV) of an investment or project is zero, meaning that the expected cash inflows exactly offset the expected cash outflows.
How is IRR used?
If the calculated IRR is greater than the required rate of return or the cost of capital (WACC), the investment is generally considered attractive, as it implies that the project is expected to generate a return higher than the minimum required return.
What is WACC
A firms blended cost of capital across all sources, including common shares, preferred shares, and debt. The cost of each type of capital is weighted by its percentage of total capital and then are all added together.
WACC is the discount rate used when valuing a project. It is the required rate a business needs to move forward with a project (otherwise it could earn the WACC rate by investing in their own shares).
How do you estimate WACC for a private company?
I start by estimating the cost of equity using CAPM — the risk-free rate, a relevant market risk premium, and an industry beta derived from comparable public companies.
Because private firms are often smaller and less diversified, I’ll adjust the beta for leverage differences and add a size or illiquidity premium to reflect additional risk.
For the cost of debt, I look at credit spreads on comparable borrowers or use recent debt financings as benchmarks, adjusting for the company’s leverage profile and coverage ratios.
Finally, I weight the cost of equity and debt by the target capital structure, not necessarily the current one — because we’re valuing the business under normalized, steady-state conditions. I always sanity-check the implied WACC versus market data and recent transactions to ensure it reflects realistic investor expectations
What is a hurdle rate?
The minimum acceptable rate of return. The minimum rate of return that investors are expecting to receive on an investment. The IRR should be equal or greater than the hurdle rate.
What are the key inputs to a DCF model?
The key inputs to a DCF model fall into two broad categories — operating assumptions that drive cash flow, and financial assumptions that discount and interpret those cash flows.
On the operating side, the most critical drivers are revenue growth, operating margins, working capital, and CapEx. Revenue growth sets the top-line trajectory, but I always link it to realistic business drivers — things like market share gains, pricing strategy, or new product launches. Operating margin reflects the scalability of the business model and efficiency improvements; I benchmark it against peers and historical performance.
Working capital and CapEx determine how much cash the business actually generates — they’re often where DCFs go wrong. I make sure to model normalized working capital levels and maintenance vs. growth CapEx separately to reflect sustainability.
Then, on the financial side, the key inputs are the discount rate (WACC) and the terminal value assumptions. WACC captures the company’s risk profile and capital structure, so it’s important to estimate it using comparable companies and adjust for private-company or country-specific risks.
For terminal value, I typically use an exit multiple approach with a market-based multiple. I sanity check this with the perpetuity growth method, using a conservative long-term growth rate tied to GDP or inflation
I focus on making each assumption defensible and implement disciplined scenario testing and clear economic logic.
How do you evaluate whether an acquisition is accretive or dilutive?
I combine the acquirer and target’s income statements pro forma, layering in financing assumptions.
Then I calculate post-transaction EPS versus pre-deal EPS.
If EPS increases, it’s accretive; if not, it’s dilutive.
That said, I always look beyond the math — integration risk or synergy timing can change the real outcome.
How do you decide whether a target is a good strategic fit?
I look at:
strategic alignment (market access, capabilities, customer overlap)
financial impact (growth, margin profile, ROI)
integration feasibility.
I test whether the acquisition supports the acquirer’s long-term thesis and whether the combined entity can execute on the synergies.
What’s your approach to synergy modeling?
I categorize synergies into cost (e.g., SG&A, procurement, headcount) and revenue (cross-sell, pricing).
I model them with conservative assumptions and realistic timing — often phasing in 50% in year one, 100% in year two.
I tie synergies to specific operational initiatives, not just top-down percentages.
How do you build and validate a synergy case?
I start by separating cost synergies from revenue synergies, since they differ in measurability and timing.
For cost synergies, I identify overlapping functions — G&A, procurement, IT systems, or facilities — and quantify them bottom-up with input from operating leads. I then phase them in realistically, often assuming 50% capture in Year 1 and 100% in Year 2 or 3. I include one-time integration costs (severance, systems migration) so the net impact is transparent.
For revenue synergies, I treat them more conservatively. I validate with data — cross-selling opportunities, new geographies, or product bundles — and model them only where there’s operational evidence they can be executed.
To validate the overall case, I reconcile the synergy assumptions against post-close plans and benchmark against similar deals. The synergy case should drive integration priorities — meaning finance and operations are aligned around the same value drivers.
How do you handle limited data when valuing a private company?
In many private deals, data is incomplete or unreliable. My approach is to normalize, triangulate, and validate.
First, I normalize the financials — adjust for owner compensation, non-recurring items, and inconsistent accounting. Then I use industry benchmarks for margins, growth, and working-capital cycles to fill gaps.
I triangulate valuation using multiples from comparable transactions, public peers, and, if possible, a simplified DCF. If the data supports it, I’ll build a range-based model with base, upside, and downside cases to reflect uncertainty.
To validate, I sanity-check implied multiples and return metrics against market context and investor expectations.
The key is transparency: clearly stating assumptions, data sources, and limitations so decision-makers understand where the analysis is solid and where judgment fills the gaps.
What’s the difference between enterprise value and equity value?
Enterprise value represents the value of the entire business to all capital providers.
Equity value is what’s left for shareholders after subtracting net debt and other non-equity claims.
It’s critical to align the numerator and denominator — for instance, using enterprise value with EBITDA multiples, not net income.
How do you approach scenario and sensitivity analysis?
I identify the 3–5 variables that most affect value — revenue growth, margins, discount rate, exit multiple.
Then I run best, base, and downside cases.
I use sensitivity tables to visualize impact and guide decision-making — this helps management see both risk and flexibility.
