Valuation methods

Andrea ALOSCARI

In this article, Andrea ALOSCARI (ESSEC Business School, Global Bachelor in Business Administration (GBBA) – 2024-2025) explains about three fundamental valuation methods—Comparable Companies Analysis, Precedent Transactions Analysis, and Discounted Cash Flow (DCF) Analysis—and their role in achieving successful deal outcomes.

Which are the main valuation methods?

At the heart of M&A, or Mergers and Acquisitions, stands the concept of valuation, which helps businesses evaluate the idea of expanding or consolidating their position in the market. The estimation of the target company’s implied share price is vitally important both for buyers and sellers and can be conducted with three main valuation methods: Comparable Companies analysis, Precedent Transactions analysis, and Discounted Cash Flow analysis.

Comparable Companies Analysis

The Comparable Companies analysis, colloquially known as “trading comps,” is one of the most common methodologies in M&A valuation. This methodology depends upon the analysis of the target company in comparison to other similar publicly traded companies. The rationale driving this valuation method is simple: a company is valued at a multiple equivalent to that of comparable companies operating in the same industry, same geography and similar financial profiles.

It starts by selecting an industry peer group of companies. Industry, size, geographical location, growth prospects, and profitability usually influence the choice of these groups of companies.

When conducting the valuation of a company, it is necessary to calculate different multiples for the comparable firms and consecutively apply them to the company financials, in order to estimate the value of the target. The most frequently used multiples are Enterprise Value/EBITDA, Price per share/Earnings per share, and Enterprise Value/Revenues.

In specific cases, the analysis can be extended to include industry metrics. For instance, in the case of the telecommunications field, price-per-subscriber metrics may be considered more relevant, while revenue-per-user or annual recurring revenue multiples are more applicable in the case of software companies. Such metrics allow deeper insight, giving a closer approximation for valuation.

While Comparable Companies analysis is market-reflective and easy to apply, there are some limitations. In real life, it is very hard and sometimes impossible to find really comparable companies, especially for niche industries or highly diversified firms. Valuation metrics may also be distorted by recent market volatility and temporary anomalies; therefore analysts need to use judgment when interpreting the results.

Precedent Transactions Analysis

Precedent transaction analysis includes the analysis of past M&A transactions to derive an estimated value of the target company. This technique provides, therefore, an indication of the price that the market has paid in the past, for companies which are similar in some respects.

In carrying out this type of analysis, analysts gather data on transactions similar in nature, deal size, industry and time. Application of the relevant metrics-such as EV/EBITDA and EV/Sales- will subsequently yield a set of valuation multiples. Later on, these are adjusted for synergies, market conditions, and strategic importance, among other factors, to arrive at an estimation of the target company’s value.

The major advantage of Precedent transaction analysis is that this method is derived from actual transaction data, which includes premiums for control and synergies. Despite that, also this methodology has several disadvantages; the historic transactions may not indicate the existing market conditions, and exhaustive data of private deals could be pretty hard to find out. Notwithstanding these disadvantages, this method is one of the main ways to find out the valuation trends in the merger and acquisition market.

Discounted Cash Flow (DCF) Analysis

Discounted Cash Flow Analysis works on a completely different tangent, focusing on the intrinsic value of the company. Whereas both Comparable Company analysis and Precedent Transactions analysis estimate the value of a company based on market comparables, unlike them, DCF estimates a company’s value based on its future expected cash flows. This is useful in cases where the companies have a very different business model or operate in an industry with few comparables.

Essentially, DCF starts off with projecting free cash flows for the target company over some predefined period of projection. These are then discounted back to the present using the firm’s cost of capital, reflecting risks involved in the business. Further, will be necessary to calculate the terminal value of the company, discounting it to the present value and adding it back to the value of the projection period.

The strengths of DCF lie in its flexibility and that it is based on fundamental performance, rather than on market sentiment. However, it is highly sensitive to assumptions like growth rates, discount rates, and terminal value calculations. Even small changes in these inputs may strongly affect the final valuation outcome. It therefore requires analysts to be very strict in justifying their assumptions and testing the robustness of their models via sensitivity analysis.

For example, we can consider a technology start-up with very high growth potential. Analysts would project cash flows considering very rapid revenue increases and very significant reinvestments in technology. In contrast, one would focus on stable cash flows and incremental growth while valuing a mature industrial firm. The DCF model would be flexible enough to accommodate those contexts.

Combining Valuation Techniques

No valuation approach is ideal on its own. Each of the techniques gives a different insight and is hence suited for different situations. For instance, Comparable Company analysis would be perfect in judging the relative value of a company with its peers, whereas Precedent Transactions analysis provides a reality check based on actual market transactions. On the other hand, DCF provides an intrinsic in-depth analysis of the business, independent of the market noise.

In order to provide a more complete assessment, the triangulation approach is increasingly being used by incorporating findings from valuations of different techniques. As an example, in technology industries, Comparable Company analysis might provide a view on how markets valued comparable businesses, DCF might be applied with respect to long-term intellectual property value and growth potentials, Precedent Transactions analysis could help identify synergies from historical deals and therefore complement an otherwise forward-looking DCF approach.

Finally, the values are presented through a football field chart, a type of graph that is particularly helpful in visualizing the results and comparing various approaches to valuation. This chart usually assists stakeholders, but not only, in rapidly identifying overlap and outliers by portraying ranges of value generated from multiple approaches on one horizontal axis.

Example of a DCF valuation

In the following section, you can download an Excel file containing a valuation performed using the discounted cash flow (DCF) method. The file includes all the calculation details, such as projected cash flows, the discount rate applied, and the resulting net present value. Additionally, it contains sheets where various assumptions were made, along with the forecasting of financial statement items.

Example of DCF valuation
 Example of DCF valuation
Source: Personal analysis

In this discounted cash flow (DCF) analysis, the valuation is performed by projecting future free cash flows to the firm (FCFF) over a specified forecast period. Key assumptions, such as revenue growth, cost of goods sold (COGS) percentage, EBITDA margin, depreciation, capital expenditures (CapEx), and changes in net working capital (NWC), are made to forecast the financial statement items.

The projected FCFF values are then discounted using a weighted average cost of capital (WACC) to estimate their present value. A terminal value is calculated at the end of the forecast period, representing the business’s residual value. The total enterprise value is obtained by summing the discounted FCFFs and the discounted terminal value. Lastly, adjustments for net debt and outstanding shares are made to derive the implied equity value and share price.

Additionally, the file includes a sensitivity analysis to show how changes in growth rate and WACC impact the enterprise value.

You can download below the Excel file for valuation.

Download the Excel file  with a valuation example

Why should I be interested in this post?

The following post outlines some of the key valuation techniques in M&A transactions and is hence very useful for finance professionals, students, and anyone interested in the corporate world. This article offers practical tools that help make an appropriate assessment of deal value utilizing methodologies like Comparable Companies Analysis, Precedent Transactions Analysis, and Discounted Cash Flow Analysis.

Whether it is for an investment banking career or an intrinsic desire to understand how things work in corporate finance, it is possible to find some real actionable insight in this article. The combination of a theoretical base with real applications allows the reader to take these concepts into dynamic market environments.

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   ▶ All posts about valuation Valuation methods

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   ▶ Nithisha CHALLA Factset

   ▶ Andrea ALOSCARI My Internship Experience in the Corporate & Investment Banking division of IMI – Intesa Sanpaolo

Useful resources

Joshua Rosenbaum and Joshua Pearl (2024) “Investment Bnaking : Valuaito, LBOs, M&A and IPOs” Wiley, Third Edition.

Alexandra Reed Lajoux (2019) “The Art of M&A, Fifth Edition: A Merger, Acquisition, and Buyout Guide” McGraw-Hill Education.

Tim Koller, Marc Goedhart, David Wessels (2010) “Valuation: Measuring and Managing the Value of Companies”, McKinsey and Company.

Aswath Damodaran (2024) Valuation Modeling: Excel as a tool (YouTube video).

About the author

The article was written in January 2025 by Andrea ALOSCARI (ESSEC Business School, Global Bachelor in Business Administration (GBBA) – 2024-2025).

Understanding the Gordon-Shapiro Dividend Discount Model: A Key Tool in Valuation

Understanding the Gordon-Shapiro Dividend Discount Model: A Key Tool in Valuation

Isaac ALLIALI

In this article, Isaac ALLIALI (ESSEC Business School, Bachelor in Business Administration (BBA), 2019-2023) explains about the Gordon-Shapiro Dividend Discount Model, which is a key tool in valuation.

Introduction

The Gordon-Shapiro Dividend Discount Model, also known as the Gordon-Shapiro formula and the Gordon Growth Model, is a central tenet in finance. It provides investors and financial analysts a simple tool to value a company based on its future dividends that are expected to remain at a constant growth rate. This model was named after economists Myron J. Gordon and Eli Shapiro, who developed it.

The Gordon-Shapiro formula

The Gordon-Shapiro formula is articulated through a relatively simple equation:

Gordon Shapiro formula

where:

V stands for the value of the stock.
DIV1 represents the expected dividend in the next period.
k is the investor’s required rate of return.
g is the constant growth rate of dividends.

This formula is premised on the idea that a company’s stock is worth the present value of all its future dividends.

Proof of the Gordon-Shapiro formula

To understand the derivation of the formula, let us consider a perpetuity model for valuing stocks. In a perpetuity model, the value of an asset is determined by the discounted value of its future cash flows. In the case of stocks, dividends represent the cash flows received by investors (shareholders or stockholders).

Assuming that the company pays a constant dividend indefinitely, the present value of the future dividends can be expressed as follows:

Gordon Shapiro formula

where DIV1, DIV2, DIV3 and so on, represent the expected dividends in subsequent periods.

To simplify the formula, we assume that the dividend grows at a constant rate (g). This means that each subsequent dividend can be expressed as a multiple of the previous dividend:

Gordon Shapiro formula

Substituting these dividend expressions into the perpetuity formula, we have:

Gordon Shapiro formula

Inside the parentheses, we recognize an infinite geometric series with a ratio q equal to (1+g)/(1+k) for the geometric sequence.

Gordon Shapiro formula

The sum of an infinite geometric series denoted by S with a ratio q is equal to 1/(1-q). Applied to the case above, we obtain:

Gordon Shapiro formula

This leads to the Gordon Shapiro formula:

Gordon Shapiro formula

Simplifying further:

Gordon Shapiro formula

Therefore, the Gordon-Shapiro formula for estimating the intrinsic value of a stock is derived.

Assumptions of the Gordon Growth Model

The Gordon-Shapiro Dividend Discount Model is based on several key assumptions:

Constant Growth Rate: the model assumes that dividends grow at a constant rate indefinitely.

Required Rate of Return: the required rate of return exceeds the dividend growth rate. This condition is necessary for the formula to work.

Dividends: the company is expected to distribute dividends.

While these assumptions may not hold in all cases, they offer a starting point for the valuation process.

Applicability of the Gordon Growth Model

The Gordon Growth Model is especially useful in certain scenarios. For example, it is an excellent tool when assessing companies with stable growth rates, such as utility companies or large, mature firms.

However, the model has limitations when used for companies that don’t pay dividends or those with a dividend growth rate that is not consistent. High-growth companies, for instance, reinvest their profits for expansion rather than paying dividends. Similarly, companies facing fluctuating growth rates may present challenges for the model’s assumptions.

Example

After researching Pfizer’s data, we assume that this company pays an annual dividend per share (DPS) of $0.40. The required rate of return (k) for the company’s stock 9,16% was computed with the CAPM Model under the following assumptions: (Risk free rate of return= 4,73%; Beta of Pfizer stock is 0,62 and Market rate of return =11,88%), and the expected growth rate of dividends (g) is 6,40%.

Using the Gordon Shapiro formula:

Gordon Shapiro formula

In this example, based on the given assumptions, the Gordon Shapiro model estimates the intrinsic value (V0) of Pfizer’s stock to be $14.48 per share. The current market price of Pfizer’s stock ($37,60) is significantly higher than the estimated intrinsic value, it could suggest that the stock is potentially overvalued. This may indicate a cautionary signal for investors, as it implies that the stock’s market price may not be justified by the projected dividends and required rate of return. It’s important to note that the Gordon Shapiro model is a simplified valuation tool and relies on various assumptions. The actual value of a stock is influenced by numerous factors, including market conditions, company performance, industry trends, and investor sentiment. Investors should conduct further research, analyze additional factors, and seek professional advice before making investment decisions based solely on the findings of the Gordon Shapiro model or any other valuation model.

Conclusion

Despite its limitations, the Gordon-Shapiro Dividend Discount Model remains a valuable tool in financial analysis and investment decision-making. Its simplicity and focus on dividends make it an attractive model for investors, especially when applied appropriately and in the right context. Investors and financial analysts alike should understand this model as part of their toolkit for assessing a company’s inherent value.

Related posts on the SimTrade blog

   ▶ William LONGIN How to compute the present value of an asset?

   ▶ Maite CARNICERO MARTINEZ How to compute the net present value of an investment in Excel

   ▶ Pranay KUMAR Time is money

Useful resources

SimTrade course Financial analysis

Gordon, Myron J., and Eli Shapiro (1956) “Capital Equipment Analysis: The Required Rate of Profit.” Management Science, 3(1): 102-110.

About the author

The article was written in June 2023 by Isaac ALLIALI (ESSEC Business School, Bachelor in Business Administration (BBA), 2019-2023).