### Discounted Cash Flow: Revenue Exit Method

**How to Build a Discounted Cash Flow Model: Revenue Exit Method**

Discounted Cash Flow (DCF) analysis is a generic method for of valuing a project, company, or asset. A DCF forecasts cash flows and discounts them using a cost of capital to estimate their value today (present value). DCF analysis is widely used across industries ranging from law to real-estate and of course investment finance.

**Note**: If you've read our guides on
DCF: Growth Exit Method
or DCF: EBITDA Exit Method already,
you can skip ahead to the
Terminal Value
section as you may find other sections of this guide repetitive.

Here is the general formula behind DCF models:

Since we can't keep projecting cash flows forever, most DCF models forecast cash flows individually for five or ten years and then estimate a continuing value or `Terminal Value`

. Terminal value represents the future value of a company beyond the projection period.

Depending on the length of the projection period, it is not uncommon for the `Terminal Value`

to represent 75% or more of the company's total value. Since `Terminal Value`

is a critical assumption, finbox.io offers three options for estimating the value: Gordon Growth approach, EBITDA Multiple and Revenue Multiple.

This guide will walk through a DCF analysis for `Facebook`

that uses a **Revenue Multiple** to estimate `Terminal Value`

.

Here is an outline of the process:

Step 1: Forecast Free Cash Flows

- Create a Revenue Forecast
- Forecast EBITDA Profit Margin
- Forecast Depreciation & Amortization Expenses
- Select a Pro Forma Tax Rate
- Plan Capital Expenditures
- Forecast Net Working Capital Investment
- Calculate Free Cash Flow

Step 2: Select a Discount Rate

- Step 3: Estimate a Terminal Value
- Step 4: Calculate The Equity Waterfall

I've created an Illustrative DCF Model for Facebook that you can use to follow along with this guide:

Illustrative DCF: Revenue Exit Method

You can also build your own updated model on finbox.io here.

##### Forecast Free Cash Flows

The philosophy behind a DCF analysis argues the value of a company is equal to the expected future cash flows of that company. Since future free cash flows can be difficult to estimate directly, the model helps us build up to them. The model starts at the top of the Income Statement by creating a forecast for `Revenue`

and then works it's down to `Net Operating Profit After Tax`

(NOPAT).

Here is the formula for calculating NOPAT:

```
Revenue
(-) Operating Expenses
(=) EBIT
(-) Taxes
(=) NOPAT
```

The model then deducts **cash outflows** like `Capital Expenditures`

(CapEx) and `Investment in Net Working Capital`

and adds back **non-cash expenses** from the Income Statement like `Depreciation`

and `Amortization`

(D&A) to calculate the free cash flow forecast:

```
NOPAT
(-) Capital Expenditures
(-) Investment in Net Working Capital
(+) Depreciation and Amortization
(=) Unlevered Free Cash Flow
```

**Create a Revenue Forecast**

When available, finbox.io uses analyst forecasts for `Revenue`

as the starting assumptions in a model. To forecast `Revenue`

, analysts gather data about the company, it's customers and the state of the industry. I typically review the analyst forecast and modify the growth rates based on historical performance, news, and other insights I've gathered.

Here is the formula the model uses to create a `Revenue`

forecast:

Here's the `Revenue`

forecast I used in my model:

**Forecast EBITDA Profit Margin**

How much of the `revenue`

Facebook generates will the company convert into profit? The model uses EBITDA as a proxy for profit at this step and deducts `Taxes`

, `Depreciation`

& `Amortization`

expenses separately later in the model.

Here is the formula the model uses to calculate the EBITDA forecast:

This is the forecast I used in my model:

**Forecast Depreciation & Amortization Expenses**

Depreciation and amortization are usually part of Cost of Goods Sold (COGS) or Selling General & Administrative Expenses (SG&A). Since it's a non-cash expense the model runs the `D&A`

forecast to estimate NOPAT but adds it back in the build-up to free cash flow. Including it in the NOPAT build allows the model to capture tax benefits associated with `D&A`

. To avoid double counting the outlay's associated with capital expenditures, the model deducts the actual capital expenditures forecast and adds back `D&A`

.

Here's the `D&A`

forecast I used in my model:

**Select a Pro Forma Tax Rate**

"In this world nothing can be said to be certain, except death and taxes."

**- Benjamin Franklin**

Companies are required to pay a portion of profits to the governments in the countries they operate. Historical `effective tax rates`

are useful for estimating a company's marginal tax rate:

Over the last five years, Facebook has paid 41.8% of it's GAAP income in taxes. This inline with the 39.1% U.S. marginal corporate tax rate. I assumed a **40%** `tax rate`

in my model.

The model uses the forecasts created so far to calculate the `NOPAT`

forecast. You can see the build to `NOPAT`

in the `Calculation of Free Cash Flow`

section of the model:

**Plan Capital Expenditures**

Spending on plant, property, and equipment allow Facebook to operate and grow. Here is the formula the model uses to forecast `Capital Expenditures`

(CapEx):

Facebook has spent 17.3% of revenue the last five years on `Capital Expenditures`

on average. I assumed spending would normalize to **10.0%** of revenue by 2020 once it's growth efforts catch up with revenue:

**Forecast Net Working Capital Investment**

As a company grows, it typically needs to tie up more cash in working capital to manage the day to day operations effectively. The model accounts for the impact of this investment on free cash flow by first estimating `Net Working Capital`

as a % of revenue and then deducting year over year increases from free cash flow:

Here are the formulas used to forecast investment in `Net Working Capital`

:

Facebook has on average required 9.0% of revenue historically for net working capital. I assumed Facebook would maintain **9.0%** of revenue for `Net Working Capital`

going forward:

**Calculate Free Cash Flow**

With all required forecasts in place, calculating projected free cash flow is simple:

##### Select a Discount Rate

Next, we need a discount rate to calculate the present value of the forecasted free cash flows. finbox.io has a Cost of Capital that you can use to arrive at your own estimate for Cost of Capital.

I determined a reasonable WACC estimate for Facebook to be between 10.0% and 11.0%. You can read about the build-up here.

The model does the heavily lifting of calculating the `Discount Factors`

using the mid-year convention. You can follow the methodology used to by reviewing the a) `Discounting Periods`

and b) `Discounting Factors`

.

Applying the `Discounting Factors`

however is simple. For example, to calculate the present value of December 2020 projected cash flow, we can multiply Facebook cash flow that year, **$19,927**, by the matching discount factor.

The model follows a similar process to compute the present value for each of the projected cash flows:

##### Estimate a Terminal Value

As mentioned earlier, this variation of the DCF uses an

**Revenue Exit Multiple** to estimate `Terminal Value`

.

An Revenue Multiple or `EV/Revenue`

multiple is defined as:

```
Revenue Multiple = Enterprise Value / Revenue
```

Current trading multiples are a great basis for selecting a the `Terminal Mulitple`

. The `Current Trading Multiples`

section of the model presents useful information on current `EV/Revenue`

multiples for companies similar to Facebook:

By default, finbox.io uses an average of a) Facebook's current EV/Revenue multiple, a) the median multiple for Facebook's benchmark companies, and the median multiple for the Sector. In the Facebook's model, this comes out to 6.9x. Comparing the `Terminal Value`

implied by selected Revenue Exit multiple to other approaches for estimating `Terminal Value`

can serve as a useful sanity check. For instance, if I used all the same assumptions in a DCF: EBITDA Exit model but selected a 9.3x `EBITDA Exit Multiple`

to calculate `Terminal Value`

, I would arrive at the same `Fair Value`

. Weighing these factors, I used **6.0x** `EV/Revenue`

exit multiple in my model:

The `Terminal Value`

calculated above is the value in the future. We can use the `Terminal Discount Factor`

to compute the present value:

The model then adds the `PV of Discrete Cash Flows`

and `PV of Terminal Value`

together to calculate `Enterprise Value`

:

##### Calculate The Equity Waterfall

An Equity Waterfall, aka Equity Value Bridge, refers to the steps used to get from the Enterprise Value of a company to its aggregate Equity Value or Market Cap.

Here is the formula for calculating an Equity Waterfall:

```
Enterprise Value
(-) Total Debt
(-) Minority Interest and Other Liabilities
(-) Preferred Equity
(-) Pension
(+) Cash and Short Term Investments
= Equity Value / Market Cap
```

The model uses the formula above to calculate Equity Value and divides the result by the `Shares Outstanding`

to compute `Fair Value per Share`

.

**Nice!**

The assumptions I used in my model implied a range for `Fair Value per Share`

for Facebook of **$100.10 * to *$118.03. At the time of this writing, Facebook's currently trading at $117.59, ~8% above the mid-point **. Facebook's

`Fair Value`

of *$108.90`52-Week Low`

is $72.00. At $72.00, Facebook would be trading at ~33% discount to my ~$108.90 computed `Fair Value`

. finbox.io's Price Target and Alerts features are great for tracking pull-backs in stock price, so when a good entry point comes around, you're ready to take the plunge!##### Next Steps

The DCF model can seem complex as first but it's worth adding to your investment analysis toolbox since it provides the clearest view on value of a company.

"It is better to be roughly right than precisely wrong"

**- John Maynard Keynes**

Instead of focusing on the getting each of the assumptions exactly right, take Keynes' advice on being roughly right. Select different reasonable assumptions to get a sense for key drivers of value. You can save different scenarios (e.g. Base Case, Downside Case etc.) to get comfortable the upside and downside potential of the company. As with all models on finbox.io, I recommend using a combination of models to get a sense for the risk involved and triangulate a fair value.

##### Sources / Further Reading:

- Working With Financial Models
- Investopedia: What is a Discounted Cash Flow (DCF)?
- Definition of Gordon Growth
- Definition of Revenue Multiple
- Definition of EBITDA Multiple
- Definition of Enterprise Value
- Definition of Equity Waterfall
- Compound Annual Growth Rate
- WACC Model
- Video on Discount Factors and NPV
- Mid Year Convention
- Discounted Cash Flow: Growth Exit Method
- Discounted Cash Flow: EBITDA Exit Method

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