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# Multiples Valuation: P/E Multiples Comparable Company Analysis Model

A Multiples Valuation, also known as a Comparable Companies Analysis, determines the value of a subject company by benchmarking the subject's financial performance against similar public companies (Peer Group).

We can deduce if a company is undervalued or overvalued relative to its peers by comparing metrics like growth, profit margin, and valuation multiples. finbox.io offers pre-built Multiples Valuation models based on EBITDA, Revenue, and P/E. This guide will walk through the P/E Multiples Valuation model.

A P/E Multiple, also known as the Price-to-Earnings ratio, indicates the multiple of earnings investors are willing to pay for one share of a company. To determine if a company is "expensive" it is far more useful to compare P/E ratios (say 15x vs 20x) than the absolute stock price (\$5/share vs \$5,000/share). If you're not familiar with P/E ratios, I recommend reading Understanding the P/E Ratio on Investopedia first.

The formula behind a P/E Multiple model is the following:

``````Market Cap = Net Income  x  Selected Multiple
``````

Once we've estimated Market Cap or Common Equity Value, we can divide it by `Shares Outstanding` to calculate `Fair Value per Share`

Here is an outline of the process:

• Step 1: Select Comparable Companies
• Step 2: Select LTM P/E Multiple
• Step 3: Select Forward P/E Multiple
• Step 4: Conclude on a Fair Value Range

I've created an Illustrative Comparable Companies Model for Verizon that you can use to follow along with this guide:

Illustrative CCA: P/E Multiples

##### Select Comparable Companies

Selecting a good peer group is critical in a Multiples Valuation analysis. When defining the Peer Group, it's important to understand the key characteristics of a company's operations. Good comparable companies generally operate in similar industries and have similar business models and operating metrics.

finbox.io has algorithms that select the default peer group but you can use sources like SEC filings, news, research reports, and your industry knowledge to customize the peer group.

To edit the default benchmark companies used in the model:

• On the `BENCHMARKS EDITOR` tab, you can remove a benchmark to replace it.
• This model requires 5 benchmarks. You can remove an existing company and search for a new company you would like to add. In my model, I wanted to replace DB:CYT with NYSE:USM
• Once you add the new benchmark, your model will update with data for your new benchmarks
##### Select LTM P/E Multiple

The key question we're trying to answer in this step is the following -- are the differences in operating metrics like growth and margin in the peer group accurately reflected in the market `P/E` multiples?

To determine whether the subject company is being valued appropriately I like to first identify the "best" and the "worst" company in the peer group. Ranking the peer group from best to worst provides me with a range of valuation multiples that I can apply to the subject company.

Some questions worth exploring during this step:

• Which company has the best historical and projected growth profile?
• Which company has the best profit margins?
• Which company is the biggest?
• Which company has the best returns on invested capital?
• Do all companies have similar levels of debt? A company can look expensive
on a P/E basis just because it has more debt.

If all else is equal, higher quality businesses deserve higher valuation multiples. Questions like these can help you discern how the subject company ranks against the peer group. `PE multiples` are highly correlated with growth so differences in `Net Income growth` often explain differences in valuation.

The model has a table you can use to answer many of these questions:

So how does Finbox estimates the P/E? After February 2020 update, all our financial models are powered by a sophisticated machine learning model that takes into account over 50 parameters as inputs to make default predictions for exit multiples used in DCF models as well as multiples used in comparable company analysis.

Verizon's P/E multiple ranges between 16.8x and 18.6x, yielding an implied per share price range of \$72.35 to \$79.96, with a mid-point of \$76.16.

##### Select Forward P/E Multiple

You can follow the same thought process discussed in the previous step to select a multiple based on projected or `Forward Net Income`.

In my model, I used a Fwd P/E multiple between 12.4x and 13.7x, yielding an implied per share price range of \$64.14 to \$70.89, with a mid-point of \$67.51.

##### Conclude on a Fair Value Range

Based on the range of fair values detemined using LTM and Forward Revenue, in this step you can input your concluded `Fair Value Range` and see how it compares to the current market price. By default finbox.io uses a simple average of the two estimates. I felt equally confident in my LTM and Fwd Multiple selections so left the conclusion unchanged.

With a possible 31% upside, it may be worth it to take a closer look at Verizon. I can also use finbox.com's Price Target and Alerts features to track Verizon's stock price and wait for a better entry.

##### Next Steps

Multiples Valuation models are useful in getting a sense of an industry quickly. Has the industry experienced a downturn recently? Is it on the upswing? How optimistic are analysts on the industry's prospects? What range of valuation multiples does the market assign to companies in this space?

You can answer many of these questions with a quick glance at the numbers. Then with a few assumptions, you can determine if a company justifies further research. Pretty awesome! Since no one valuation approach is perfect, we recommend using a combination of models to get a sense for the risks involved and triangulate a fair value before making an investment.