Skim this video about "Session 21: Valuing Privately owned businesses (not publicly listed)": 4 key points in 24 min and more.

Session 21: Valuing Privately owned businesses (not publicly listed)

skim AI Analysis | Aswath Damodaran

Aswath Damodaran's Session 21: Valuing Privately owned businesses (not publicly listed): skim's analysis identifies 12 key moments. This university finance lecture examines how to value privately owned businesses across private-to-private sales, public acquisitions, and initial public offerings.

Category: Education. Format: Educational. YouTube video analyzed by skim.

Summary

This university finance lecture examines how to value privately owned businesses across private-to-private sales, public acquisitions, and initial public offerings. It demonstrates how undiversified buyers, illiquidity, and key-person dependencies depress private valuations, creating arbitrage opportunities for public roll-ups, before detailing how to treat IPO proceeds and underwriting incentives.

skim AI Analysis

Credibility assessment: Rigorous Academic Instruction. The lecture grounds corporate valuation methods in statistical theory, empirical studies like Silber's restricted stock research, and real prospectus filings such as Twitter's 2013 IPO. The speaker openly critiques industry rules of thumb and highlights sampling biases in traditional appraisal datasets.

Bias assessment: Fundamental Valuation Purist. The lecture strongly favors dynamic, intrinsic discounted cash flow adjustments over conventional appraisal rules of thumb, explicitly dismissing standard fixed illiquidity discounts and investment banking IPO pricing conventions as mechanically flawed or self-serving.

Originality: 86% — Proprietary Analytical Tools. Rather than repeating textbook conventions, the lecture introduces original methodologies created by the speaker, including the 'total beta' adjustment for undiversified buyers and synthetic bid-ask spread regressions to estimate private company illiquidity.

Depth: 92% — Comprehensive Methodological. The session systematically deconstructs private company valuation across four transaction types, walking step-by-step through beta correlation adjustments, synthetic debt ratings, key-person cash flow haircuts, sampling biases in illiquidity studies, and IPO proceeds accounting.

Key Points (12)

1. Undiversified Buyers Face Higher Cost of Equity

Timestamp: 00:04:50 to 00:07:55

When a private business owner has all of their wealth tied up in a single company, they are exposed to total risk rather than just market risk. Unlike public market investors who can diversify through index funds, an undiversified private buyer must demand a higher cost of equity.

Significance (High): Establish that cost of equity depends on the marginal buyer's portfolio diversification rather than whether the asset itself is privately or publicly held.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

2. Why Illiquidity Discounts Must Be Dynamic

Timestamp: 00:07:55 to 00:13:57

While public stock illiquidity is explicitly captured in the bid-ask spread, buying a private business carries a high cost of buyer's remorse. Rather than applying a flat 20% bludgeon discount, appraisers should vary illiquidity discounts across firms, buyers, and market conditions.

Significance (High): Challenges standard appraisal practice by showing that cash-generating firms and long-term buyers require smaller illiquidity discounts than cash-burning firms or constrained buyers.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

3. Public Acquirers Pay More and Drive Roll-Ups

Timestamp: 00:13:57 to 00:20:27

Publicly traded companies can pay the highest price for a private business because their shareholders are diversified and can sell their own shares whenever they want liquidity. This valuation gap explains why industries like waste management and video rentals consolidated through public roll-ups.

Significance (High): Explains the economic engine behind corporate roll-ups: combining illiquid private firms into a public vehicle eliminates diversification and liquidity penalties.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

4. Calculating Total Beta for Undiversified Buyers

Timestamp: 00:22:41 to 00:30:39

To value an upscale restaurant for an undiversified buyer, an analyst can divide the peer group's market beta by its correlation with the market to calculate a total beta. When a high-end retail peer group has a 1.18 beta and a 0.5 correlation, the total unlevered beta doubles to 2.36.

Significance (High): Provides a concrete, data-driven formula to adjust discount rates for undiversified buyers using standard public market regression R-squared statistics.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

5. Estimating Private Leverage and Cost of Capital

Timestamp: 00:30:39 to 00:37:18

Because private companies lack a market value of equity and bond ratings, analysts must use industry-average debt-to-equity ratios or iterative valuation estimates alongside interest coverage ratios. After factoring in the buyer's individual tax rate, the restaurant's cost of capital reaches 13.25%.

Significance (Medium): Demonstrates how to overcome missing market capitalization and credit rating data in private firms without resorting to unreliable book equity figures.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

6. Adjusting Cash Flows for Key-Person Risk

Timestamp: 00:37:18 to 00:46:02

Private business financials must be cleaned up by imputing a salary for unpaid owner-operators and reducing operating income for key-person customer attrition. Sellers like dentists or chefs can reduce this 20% to 50% key-person value loss by staying on during a transition overlap period.

Significance (High): Quantifies key-person dependency by valuing the business with and without the central individual, showing how transition agreements preserve transaction value.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

7. Capacity Constraints Cap Private Firm Growth

Timestamp: 00:46:02 to 00:49:43

Even when a single-location restaurant faces physical capacity constraints and grows only at the 2% inflation rate, it still requires a 10% reinvestment rate to replace aging equipment. Combining adjusted cash flows with the 13.25% cost of capital yields an intrinsic equity value of $521,000 before illiquidity.

Significance (Medium): Prevents analysts from overvaluing mature private businesses by blindly setting perpetual growth equal to the risk-free rate without accounting for capacity limits.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

8. Restricted Stock and Pre-IPO Discount Studies

Timestamp: 00:49:43 to 00:57:23

Appraisers traditionally justify 20% to 35% illiquidity discounts using restricted stock studies and pre-IPO transaction comparisons. Bill Silber's research improved on flat median discounts by showing that restricted stock discounts shrink for profitable companies with larger revenues.

Significance (Medium): Traces the empirical origins of standard illiquidity discounts while showing how regression adjustments can tailor base discounts to company revenue and profitability.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

9. Sampling Bias Invalidates Standard Studies

Timestamp: 00:57:23 to 01:03:48

Restricted stock and pre-IPO studies severely overstate illiquidity discounts due to sampling bias, as only distressed public companies issue restricted stock and pre-IPO samples exclude failed offerings. Regressing public bid-ask spreads against revenue, profitability, cash, and zero trading volume creates an unbiased synthetic spread.

Significance (High): Exposes why traditional 30% to 50% illiquidity discounts are statistically broken and offers a synthetic bid-ask spread regression across 48,000 public stocks as an alternative.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

10. Negotiating Between Private and Public Values

Timestamp: 01:03:48 to 01:08:05

When a public company values the same restaurant using a market beta, an 8.76% cost of capital, and no illiquidity discount, the equity value jumps from $454,000 to $1.484 million. To capture that higher value rather than settling near the $454,000 floor, a private seller must get multiple public buyers bidding against each other.

Significance (High): Frames M&A negotiation as a bargaining range between the private-to-private floor and the private-to-public ceiling, showing why competition among acquirers is decisive.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

11. Accounting for IPO Proceeds in Valuation

Timestamp: 01:08:05 to 01:17:24

Valuing an IPO right after the prospectus is filed avoids anchoring bias from the offering price, as illustrated by Twitter's October 2013 filing. Analysts must check whether IPO proceeds are kept in the firm to increase cash, paid to cashing-out owners, or used to pay down debt and lower the cost of capital.

Significance (High): Clarifies how primary vs. secondary IPO proceeds alter post-offering cash balances, leverage ratios, and intrinsic equity value.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

12. Share Dilution and Underwriting Underpricing

Timestamp: 01:17:24 to 01:22:37

Pre-IPO venture capital rounds leave convertible preferred stock, restricted stock units, and employee options that must be added to the per-share count. Furthermore, because investment banks guarantee the offering price shortly before trading, they price IPOs on metrics like user counts and intentionally underprice them by 15% to 20%.

Significance (Medium): Explains the structural disconnect between intrinsic DCF valuation and IPO offering prices, showing why first-day IPO pops average 10% to 15%.

Sources in support: YouTube: Aswath Damodaran (Professor at NYU Stern)

Key Sources

  • YouTube: Aswath Damodaran — Professor at NYU Stern

This analysis was generated by skim (skim.plus), an AI-powered content analysis platform by Credible AI. Scores and classifications represent the platform's AI-generated assessment and should be considered alongside other sources.