Much like earnings results, when a company delivers 20% revenue growth, how does one determine whether that is a good or bad? It really depends on what expectations are priced into the stock that allows an investor to determine whether or not the company has delivered. But understanding the expectations priced into a stock in not an easy task, that is, unless you use The Applied Finance Group’s (AFG) Value Expectations (VE) interface.
AFG’s Value Expectations interface provides clients a platform to better understand economic profitability, and at the same time understand the performance a company must deliver to justify its current stock price. By understanding the embedded expectations a company must deliver to justify their current trading price, clients can develop a “hurdle rate” to quickly determine if the company’s expectations are rich or low. Take, for example, the typical company during the tech bubble: the expectations that were priced into the average tech stock far exceeded what it could realistically deliver. For this reason, AFG identified the technology sector as overvalued, as well as potential torpedos such as Cisco, whose expectations were unrealistically high.
After determining if a company is a valid investment opportunity, users have the flexibility to adjust expectations based on their own research, build out pro-forma financial scenarios, and arrive at an NPV target price.
In addition, the VE interface has all the key theoretically components of a well-thought-out valuation model, which takes into consideration the appropriate risk, with a market derived discount rate (MDDR) that is adjusted for size and leverage. Competition and perpetuity issues are also taken into account, using company specific Competitive Advantage Periods (CAP).
By gaining a better understanding of the embedded expectations built in to security prices, relative to what a company has delivered historically, can provide insight into the Sales Growth, EBITDA Margin, and Asset Turnover a company must deliver in the future to justify its current trading price. In many circumstances, if the imbedded future performance is very conservative relative to the company’s historical performance, the stock is regarded as undervalued.
Our recent analysis of Dell’s acquisition of Perot Systems is a good example of how we have recently used the VE interface to determine the value of one company (PER), to get an understanding of what the acquiring company is paying for.
Our analysis revealed that Dell would acquire Perot Systems for $30 a share, a 68% premium over where PER closed last Friday. The sales growth required to justify the $30 a share price Dell has agreed to pay was quite lofty relative to PER’s historical performance. Using realistic, if not generous, expectations for EBITDA Margins of 11% and asset turns of 1.4, we concluded that PER will need to deliver an astounding 26% sales growth each year over the next 4 years to justify a $30 share price! This compares to the 13% average annual sales growth PER has delivered over the past 5 years, the 6.4% sales growth it delivered in 2008, and the expected but rather certain decline of 9% in sales in 2009. Overpaying for such growth destroys rather than creates shareholder value. Therefore, the real losers in this situation are the company’s existing shareholders who paid for the excessive acquisition premium by losing $1.4 Billion of market value Monday.
This is just one example of how Value Expectations can be a powerful tool to help investors understand the embedded expectations in security prices, with the added flexibility of building your own set of expectations for a company. As you enter your own set of expectations (proforma), this will recalculate your inputs and translate them into an intrinsic value.
Below is a view from within the Value Expectations interface :
As you will note, we have solved for expectations on the $30 a share price Dell paid to acquire PER.

In this particular interface, users have the ability to stress test each input. This is very handy for busy Portfolio Managers an analyst to them determine which stocks they need to reevaluate if it's a current holding. If it's a new stock they are considering, they can quickly determine if it's worth their time to further investigate or to build a complete set of proforma financials, using AFG's Proforma Builder.
Once a scenario is generated, there are many charts and options to present the data. The Visual we selected below, does a nice job at comparing PER's lofty expectations with its historical performance.

Value Expectations Interface allows investors to:
• Understand the performance expectations embedded into today’s stock prices.
• Build out Different Pro forma Financial Scenarios
• Determine NPV target price based on the users assumptions.
• Quickly determine if a company is over/under valued
• Benchmark valuation attractiveness against peer groups
• Efficiently Identify investment opportunities or potential torpedo’s
• Help clients outperform!
Components within the Value Expectations Interface:
Target
• The NPV target price.
• Based off forecasted cash flows and Economic Margin (EM) levels.
Upside
• The percent premium or discount to the market price.
• The “Percent to Target” or percentage up/down side
CAP – Competitive Advantage Period
• Defines the terminal value period
• A number of years over which EMs decays to zero.
• Force companies to be a “break even business” over time
• A four-factor regression analysis based on a company’s profitability, variability, EM trend, & size.
Cost of Capital
• Market Derived Discount Rate (MDDR).
• Adjusted for Size and Leverage on company specific basis.
• Expressed as a nominal rate
Tools
• Calculate- After new data has been entered in the Sales Growth, EBITDA%, Asset Turns, Price, CAP or COC select Calculate in this menu or click on the calculator to have the model reflect the changes and calculate a new target price.
• Solve- Select either Sales Growth or EBITDA% to see what percentage is required to keep the stock priced at the current price assuming that all other variables (sales growth, EBIDA% and asset turns) remain constant. The same results can be achieved by clicking the solve buttons next to Sales Growth and EBITDA%.
• Pro-forma Stages- Choose a pro forma stage from one to five to view Sales Growth, EBITDA Margins, Asset Turns and EPS for the number of years selected.
• Publish- Publish saved Value Expectations™ models to make them available to other members of your investment team
• Reset- Changes data in the Value Expectations™ model to the default values; clicking on the reset button in the header will also do this.
Charts
• Utilize value driver charts to benchmark and track your forecasts
• Benchmark forecasts vs. peers Data
• Multiple VE modules allow various starting points for your forecasts
• 1 Year Median
• 3 Year Median
• 5 Year Median
• Analyst (Default Forecast)
Value Drivers
• Sales Growth - Annual % increase or decrease in sales.
• EBITDA -Operating Income + DD&A
• Asset Turns - Total Sales/Total Assets
Smooth
• Use to straight-line up/downward trends.
EPS
• In the Analyst mode, this represents the consensus street estimate for forecast years 1 and 2
• Calculated as operating earnings, free of the impacts of financial manipulation
Stages
• Forecast 5 years out explicitly. Collapse the model down to forecast average or Long Term (LT) figures.
Price – Last night’s closing price
CAP and COC in greater detail:
CAP – The CAP field represents the Competitive Advantage Period calculated by AFG. The CAP value represents an exponential decay expressed in number of years. The decay range is between 7 and 39, with the average company having a 17-year CAP period. For each company, AFG performs a four-factor regression on historic Economic Margin (EM) levels to determine how attractive the company’s line of business is to competition. The four factors consist of profitability, variability, trend, and invested capital. For example, a company with very high historical Economic Margins (EMs) indicates that the company is highly profitable. Highly profitable firms attract competition; thus, the model will decay the levels of Economic Margin (EM) much faster than a company with lower Economic Margins (EMs)—or vice versa. A company with very volatile historical Economic Margin (EM) levels will have a shorter CAP period than a company with more consistent historical levels of Economic Margin (EM). If a company’s historical levels of Economic Margin (EM) are on an upward trend, the CAP period will be extended; or conversely, on the way down (slippery slope) the CAP period will be shortened. In terms of invested capital, the model assumes that is more difficult to erode profits from a larger more established company; thus, extending the CAP period for larger companies, and shortening it for smaller companies.
COC – The COC field represents the Cost of Capital calculated by AFG. AFG calculates COC by taking a subset of companies (2200 industrial, 150 utility, or 300 financial) meeting certain qualitative criteria. For each individual company in those subsets we solve for the discount rate that makes them fairly valued today. We then rank order those discount rates and select the median discount rate to represent a typical firm’s COC in the marketplace. Each company is then adjusted from the market-derived discount rate for its size and leverage characteristics. Thus, the largest most levered firms have the smallest COC; and the smallest most highly levered firms have the highest COC. For a complete review of AFG’s COC please see the Advanced Learning section of our home page.