US Business Valuation Calculator: DCF Method & EBITDA Multiples

WACC (Weighted Average Cost of Capital) is the minimum return a business must generate to satisfy all of its capital providers — both equity holders and debt holders — weighted by how much each contributes to the total capital structure. It represents the blended “hurdle rate” of the entire business.

It is used as the DCF discount rate because every future cash flow must be discounted at the rate that reflects all the risk borne by everyone who has capital at stake in the business. Using WACC ensures the DCF is internally consistent: the free cash flows are unlevered (available to all investors), and the discount rate reflects all investors’ required returns.

Private companies systematically face higher required returns than public companies for three concrete reasons:

• Illiquidity premium (3–5%): Investors in private companies cannot sell their stake in 30 seconds like a public stock — they may be locked in for 3–7 years. This illiquidity commands a meaningful premium above what the CAPM would predict for a comparable public company.
• Size premium (3–5%): Small companies have narrower customer bases, less management depth, weaker access to capital markets, and less diversification — all of which increase risk beyond what beta captures. Duff & Phelps 2026 CRSP data confirms size premiums of 3.0–5.5% for micro-cap private companies.
• Company-specific risk (0–5%): Key-person dependency, customer concentration, limited operating history, or industry-specific risks that a large diversified company does not face.

In practice, a SaaS company whose public peer trades at a WACC of ~11% (based on beta and ERP alone) should have a private company WACC of 17–20% after adding these premiums. Ignoring this gap overvalues the private company by 30–50%.

The Size Premium is an empirically documented excess return that investors in small companies have earned historically above what the CAPM predicts — first documented by Banz (1981) and continuously updated by Duff & Phelps (now Kroll) in their annual CRSP Size Premium Study.

2026 Practical Guidelines (Kroll/Duff & Phelps data):

• Micro-cap private (<$2M EV): 4.5–5.5% size premium
• Small private ($2M–$10M EV): 3.5–4.5% size premium
• Lower middle market ($10M–$50M EV): 2.5–3.5% size premium
• Middle market ($50M+ EV): 1.5–2.5% size premium

The default of 3.0% in this calculator is appropriate for a typical small US business with $500K–$5M enterprise value. Adjust upward for very small or very young businesses; adjust downward for established businesses with $10M+ in revenue.

Beta measures how sensitive a company’s returns are to overall market movements. A beta of 1.0 means the company moves in line with the market. Beta >1.0 means more volatile than the market (more risk); beta <1.0 means less volatile (less risk).

Since private companies have no publicly traded stock, you cannot calculate beta directly. Instead, the standard professional practice is to:

1. Find comparable public company betas from Damodaran’s annual “Betas by Sector” database (pages.stern.nyu.edu/~adamodar) — this calculator uses his January 2026 data
2. Unlever the public company betas to remove the effect of their capital structure
3. Re-lever using your private company’s target capital structure

The industry preset buttons in this calculator apply Damodaran’s January 2026 unlevered betas for each sector. Notable 2026 betas: SaaS 1.35, Healthcare 0.80, Restaurant 0.87, Manufacturing 1.05, Real Estate 0.60.

This is a classic corporate finance question. In theory, yes — up to a point. Because interest on debt is tax-deductible, the after-tax cost of debt is lower than the pre-tax cost, and debt is inherently cheaper than equity because debt holders have a senior claim on assets. Adding debt therefore reduces the weighted average rate.

In practice, no — beyond a threshold: As debt increases, the probability of financial distress rises. This increases both the cost of debt (lenders demand higher rates for riskier loans) and the cost of equity (equity holders demand higher returns to compensate for the increased risk of bankruptcy). Beyond approximately 50–60% debt weighting for most small businesses, WACC starts rising again rather than falling.

The Equity Risk Premium (ERP) is the additional return investors demand for holding equities (stocks) versus the risk-free asset (US Treasury bonds). It compensates equity investors for taking on the higher volatility and uncertainty of the stock market versus a guaranteed government bond.

The 4.5% default in this calculator comes from Professor Aswath Damodaran’s (NYU Stern) implied US ERP estimate as of January 2026: 4.46%. This is derived by reverse-engineering the S&P 500’s current price to find the growth expectations implied in the market, then computing the excess return over the risk-free rate.

Historical ERP context: The long-run historical US ERP (1928–2025) averages approximately 6.2% over T-bills and 4.8% over T-bonds. The implied (forward-looking) ERP is typically lower because current market valuations are elevated. Damodaran updates this monthly at pages.stern.nyu.edu/~adamodar.

Both WACC and the Build-Up Method produce a discount rate, but they approach it differently and are used in different contexts.

• WACC: Blends cost of equity and cost of debt. Cost of equity uses CAPM (beta × ERP) plus size/company risk premiums. Appropriate when the company has meaningful debt financing and a defined capital structure. Industry-specific — different industries have different betas.
• Build-Up Method: Starts with the risk-free rate and adds risk premiums directly, without using beta at all: Risk-Free Rate + ERP + Industry Risk Premium + Size Premium + Company-Specific Risk. Commonly used by certified business valuators (CBVs/ASAs) for small, owner-operated businesses where finding comparable company betas is difficult.

For most small US businesses, both methods produce similar results (within 1–2 percentage points). The WACC Builder in this calculator follows a hybrid approach — CAPM for the cost of equity plus the Build-Up Method additions (size premium + company-specific risk) — which is the current professional standard.

This distinction is critical in any business sale and is one of the most common sources of confusion between buyers and sellers.

• Enterprise Value: The total value of the business to ALL capital providers — equity holders and lenders combined. Think of it as the cost to acquire the business and pay off all its debts simultaneously. It is capital-structure neutral.
• Equity Value: What the business is worth specifically to shareholders after paying off all debt and adding back excess cash. This is what changes hands in an all-equity sale where the seller pays off all liabilities at closing.

Acquisition practice: If the buyer assumes the business’s debt, the purchase price equals Enterprise Value. If the seller clears all debt at closing (most common in small business M&A), the purchase price equals Equity Value. Always clarify which basis applies before comparing offers — two buyers can quote “$2M” and “$2M” but mean completely different things.

The Gordon Growth Model (also called the Perpetuity Growth Model) solves a mathematical problem: how do you value an infinite stream of growing cash flows in a single number? The answer is a closed-form formula — the sum of an infinite growing geometric series.

This formula is powerful but highly sensitive to the WACC − TGR spread. A tiny change in either assumption can dramatically change the terminal value. Example: WACC = 12%, TGR = 2.5% → spread = 9.5%. TGR shifts to 3.5% → spread = 8.5%. That 1% TGR change increases Terminal Value by 9.5/8.5 − 1 = 11.8%.

Yes — this is mathematically normal and expected in standard DCF models. It is not an error. The terminal value dominates because businesses are assumed to operate indefinitely, and the value of all those far-future cash flows sums to a large number even after heavy discounting.

Typical TV% ranges by business type:

• Stable mature business (5-yr forecast, moderate growth): TV = 55–70% of EV — acceptable and common
• Growing business (7-yr forecast, 8–15% growth): TV = 70–80% of EV — normal, manage with sensitivity table
• High-growth business (10-yr forecast, 15%+ growth): TV = 80–90% of EV — elevated, use Two-Stage model to reduce
• TV > 90%: Red flag — model is overly dependent on unverifiable long-term assumptions

The forecast period should reflect how long you can make reasonably defensible projections — not as long as possible. Longer is not always better.

• 5 years: Best for stable, mature businesses with predictable cash flows and low growth (restaurants, established retail, franchises). Growth is already near terminal rate. Less terminal value sensitivity.
• 7 years: Standard for most growing small and mid-sized businesses. Captures a full business cycle and balances precision of near-term projections against uncertainty of far-future assumptions. Best default for most users.
• 10 years: Appropriate for high-growth businesses (SaaS, healthcare, e-commerce) in a growth phase that clearly has not yet reached steady-state. More explicit cash flows captured, but far-year projections become increasingly speculative.

The Gordon Growth Model formula is TV = FCF × (1 + g) / (WACC − g). When WACC approaches TGR, the denominator (WACC − g) approaches zero, making TV approach infinity. This is mathematically impossible in a finite real-world business and signals a fundamental problem with the model inputs.

• WACC = TGR: Division by zero → infinite terminal value → meaningless result. The calculator blocks this with an error.
• WACC < TGR: Negative denominator → negative terminal value → absurd negative Enterprise Value. Also blocked.
• WACC just above TGR (e.g., 8% vs. 6%): Technically valid but extremely unstable — small input changes produce enormous EV changes. Use the sensitivity table and widen your negotiating range significantly.

A Single-Stage DCF assumes FCF grows at the same rate every year throughout the forecast period and then transitions directly to the terminal growth rate. This works for stable, mature businesses.

A Two-Stage DCF divides the forecast into two phases: Stage 1 (high growth, years 1–5) and Stage 2 (moderated growth, years 6–N) before transitioning to terminal growth. This is more realistic for businesses that are currently growing fast but will inevitably slow down.

When to use Two-Stage: If current FCF growth rate exceeds 10% annually. Applying 18% single-stage growth for 7 years and then jumping to 2.5% terminal growth is mathematically abrupt and produces unrealistic terminal value spikes. Two-Stage smooths this transition and produces a more defensible model.

The DCF formula is mathematically precise — the uncertainty comes entirely from the inputs. Academic research on private company valuation suggests the following:

• FCF estimation error: ±10–20% is typical even with accurate historical financials, because normalized FCF requires judgment calls about owner compensation and non-recurring items
• WACC estimation error: ±1.5–2.5 percentage points, translating to ±15–25% in enterprise value
• Growth rate error: ±2–5 percentage points over a 7-year horizon — the hardest input to pin down
• Combined uncertainty: Academic studies suggest ±25–40% uncertainty in private company DCF valuations is the realistic range

This is why professional appraisers always present a range (using sensitivity analysis) and always triangulate with comparable transaction multiples. The sensitivity table in this calculator makes this explicit — use the range between the red and green cells as your honest uncertainty range.

Standard DCF and Reverse DCF are inverses of the same equation — one solves for value, the other solves for implied growth:

The key insight, popularized by Mauboussin and described on Investopedia: rather than asking “what is this business worth?”, Reverse DCF asks “what growth rate must this business achieve for the asking price to be justified?” This reframes the question from a valuation exercise into a feasibility exercise — which is far more practically useful for buyers.

Why it matters: A seller might claim a business is worth $3.5M. Instead of arguing about valuation assumptions, a buyer can use Reverse DCF to show: “At your asking price, this business must grow FCF at 14.2% annually for 7 years. Industry median growth is 5%. Can you demonstrate how you’ll achieve 3× the industry average?” This shifts the burden of proof to the seller.

There is no closed-form algebraic solution to “find the growth rate that produces a specific DCF value” — the equation is too complex to invert directly. Instead, this calculator uses an iterative binary search algorithm that converges to the answer in 100 iterations with precision to 4 decimal places (±0.0001%).

Each iteration cuts the search range in half, so 100 iterations narrows the initial 350% range down to 350% ÷ 2¹⁰⁰ ≈ 0.0000000000000000000000000000003% — essentially exact. The algorithm is fast (runs in milliseconds) and reliable across the full economically meaningful range of growth rates.

An implied growth rate of 18% means the asking price requires the business to grow its Free Cash Flow at 18% compounding annually throughout the entire forecast period. Here is a structured framework to evaluate feasibility:

Step 1 — Compare to industry median: The calculator shows the industry median growth rate automatically. If implied growth is within 10% of the median (e.g., median = 16.5%, implied = 18%), the price is arguably achievable. If implied is 2× or more the median, the price is aggressive.

Step 2 — Check the business’s historical growth rate: Has the business grown FCF at 18% in any prior 3-year period? If not, what specifically will change to produce that rate under new ownership?

Step 3 — Apply compounding reality: At 18% annual growth, FCF must be 2.3× its current level in 5 years. Is the market large enough to support that? Does the business have the operational capacity?

Step 4 — Run a sensitivity check: What if you only achieve 12% growth? Use the DCF calculator to find that value — the gap between 12% and 18% values is your risk-adjusted overpayment.

Yes — and it is one of the most powerful analytical tools in any acquisition negotiation. Here is the exact workflow used by professional M&A advisors:

1. Run your standard DCF first: Establish your view of fair value based on your assumptions. This is your anchor.
2. Enter the seller’s asking price in the Reverse DCF field: Get the implied growth rate the price requires.
3. Present the implied growth rate objectively: “Your asking price of $3.5M requires 14.2% annual FCF growth over 7 years. The industry median for this sector is 5%. Here is the growth your business has achieved historically over the past 3 years: [X%]. Can you show us the concrete plan to achieve nearly 3× the industry average?”
4. Propose a bridge structure: “We would accept the $3.5M price if structured as $2.4M at closing (our DCF fair value) plus an earnout of up to $1.1M tied to achieving the 14.2% growth you’re projecting.”

Both the Reverse DCF mode (top toggle) and the “Asking Price” optional field in Standard mode use the exact same binary search algorithm and produce the same implied growth rate output. The difference is in the primary user interface orientation:

• Reverse DCF Mode: Designed for buyers whose primary question is “Is this asking price justified?” The Calculate button text changes to “Calculate Implied Growth Rate” and the results panel leads with the Reverse DCF panel. All other outputs (year-by-year table, sensitivity table, scenario analysis) still calculate and display using your standard assumptions.
• Standard Mode + Asking Price field: Designed for users who want both the intrinsic value AND the reverse analysis simultaneously. The standard DCF result leads, and the Reverse DCF panel appears as a supplementary output below the main metrics grid.

Equity dilution occurs whenever a company issues new shares — whether to investors, employees (stock options/RSUs), advisors, or through debt conversions. Each new share issued reduces every existing shareholder’s ownership percentage, because their share count stays the same while the total number of shares outstanding increases.

When dilution events occur:

• Seed funding round, Series A, B, C (investor receives new shares)
• Employee option pool creation (sets aside shares for future grants)
• SAFE notes or convertible notes converting to equity at a funding round
• Advisor or board member equity grants
• IPO or secondary offering (public market share issuance)

By the time a venture-backed startup reaches IPO, founders typically retain 10–25% of the company. Uber co-founder Garrett Camp’s stake fell to just 6% after 18 rounds of funding before the 2019 IPO.

This is the most fundamental concept in startup fundraising — and the most frequently confused term in term sheets. The difference is simply when the investment is counted:

Worked example: Investor offers $500K for 20% equity. This implies a post-money valuation of $500K / 20% = $2.5M, and therefore a pre-money valuation of $2.5M − $500K = $2.0M. Always confirm which basis is being used — a “20% for $500K” deal means very different things depending on whether the investor means pre-money or post-money.

• If investor says “$2M pre-money”: Post-money = $2.5M. Investor gets $500K/$2.5M = 20%.
• If investor says “$2M post-money”: Pre-money = $1.5M. Investor gets $500K/$2.0M = 25%.

There is no universal rule, but professional M&A advisors and venture investors use these widely accepted benchmarks for US companies in 2026:

• Angel / Pre-Seed Round: 5–15% equity for $50K–$500K. Giving more than 20% at pre-seed is generally considered a red flag for future venture rounds.
• Seed Round: 10–20% equity for $500K–$3M. Standard SAFE/convertible note at a $4–$10M post-money valuation.
• Series A: 20–30% equity for $3M–$15M. VCs typically target 20–25% ownership per round.
• Series B: 15–25% additional equity. Founders typically retain 40–60% cumulative at this stage.

The “too much” threshold for founders: Giving up >25% in any single early round severely limits future dilution capacity — you may run out of equity to offer subsequent investors before reaching profitability. The goal is to give each investor just enough to be genuinely committed (typically 10–25%) while preserving majority founder ownership through at least the Series B.

The Equity Dilution panel in this calculator performs a simple two-party calculation: founder pre-money equity vs. investor post-money equity based on a single investment amount. It does not model option pools, SAFE notes, convertible note conversions, multiple share classes, or pro-rata rights.

What the calculator shows:

• Pre-Money Valuation = DCF Equity Value (the calculator’s intrinsic value estimate)
• Post-Money = Pre-Money + Investment
• Investor % = Investment ÷ Post-Money
• Founder % = Pre-Money ÷ Post-Money
• Founder’s Value = Post-Money × Founder %

For full cap table modeling with options and convertibles, use:

• Carta.com — industry standard cap table software (free for early-stage)
• Pulley.com — Y Combinator-backed cap table tool
• Captable.io — simple free cap table with dilution modeling

A well-supported DCF valuation is one of the most powerful tools a founder can bring to a funding negotiation. Here is how it affects each key term of a funding negotiation:

• Pre-Money Valuation: Your DCF gives you a data-driven anchor. Instead of accepting the investor’s proposed $1.5M pre-money, you can say: “Our DCF at a conservative 12% WACC produces a $2.1M equity value — here is the model.” This alone can recover $150K–$300K in founder equity on a $500K raise.
• Option Pool Shuffle: Many investors require a 10–15% option pool be created before the investment (pre-money), which dilutes only the founder. A defensible DCF lets you argue the option pool should be created post-money, preserving your percentage.
• Liquidation Preference: Investors with 1× non-participating preferred stock (standard) vs. 2× participating preferred is a $500K+ difference at exit on a $1M raise. Founders with strong DCF data can push back on aggressive preference terms because they can show the business has standalone intrinsic value without the investor.
• Anti-Dilution Provisions: Broad-based weighted average anti-dilution (standard) vs. full-ratchet anti-dilution (very investor-friendly) can devastate founder equity in a down-round. A strong DCF valuation, by establishing a credible current value, makes down-rounds less likely and reduces investor leverage on anti-dilution terms.
• Valuation Cap on SAFEs/Notes: If raising on a SAFE or convertible note, the valuation cap determines the price investors pay when converting. Your DCF equity value is the appropriate starting point for cap negotiation — typically set 20–40% above DCF value to give both parties room.