Is It "Expensive" or Is It Just Fast? A Guide to Valuation & Growth

One of the most common questions I get from subscribers is: "Is this stock too expensive?"

You see a company trading at 40x earnings and your gut reaction is to run. Then you see another trading at 8x and you think it’s a steal. But in growth investing, absolute numbers are often absolute lies.

To be a successful investor, you have to stop looking at valuation metrics in a vacuum. You need a toolkit that connects the Price (Valuation) with the Engine (Growth).

The Foliotrail Secret Sauce: Before we dive in, here is the core framework I use to cut through the noise. It is the "1:1 Ratio."

Valuation Multiple ≈ Growth Rate 

If a company trades at 30x EBITDA but grows at 30%, it is fair. If it trades at 10x but grows at 50%, it is a screaming buy.

Today I am going to show you exactly how to find those distortions.

Part 1: The Valuation Toolbox (The "Price")

Different companies require different measuring sticks. Instead of boring you with textbook definitions, here is a quick "Battle Card" on what to use and when:

The "Gotchas"

• Adjusted EBITDA: Management loves to add back expenses like Stock-Based Compensation. Always check the bridge.

• Forward vs. Trailing: Markets trade on the future. Always prioritize NTM (Next Twelve Months) over LTM (Last Twelve Months).

Part 2: The Consensus Problem (Why Models Fail)

Having the right metrics is only step one. Step two is understanding why the market's inputs for those metrics are usually flawed.

Why consensus is often wrong:

Wall Street analysts tend to "herd." They are terrified of being outliers, so their estimates cluster together. They often miss inflection points because they are looking at lagging data while the business is pivoting.

The Nvidia Example: Think back to early 2023. Nvidia looked "expensive" on historical chip sales. Consensus models saw a cyclical semiconductor company. They missed the inflection point: the Data Center shift to AI.

• The Consensus View: "Trading at 50x earnings, cyclical risk." -> Avoid.

• The Foliotrail View: "Datacenter revenue is accelerating. Forward growth justifies the multiple." -> Buy.

I build my own financial models not to predict the future to the penny, but to find where the market is underestimating the speed of the engine.

Part 3: The Foliotrail Framework - The "Valuation-to-Growth" Ratio

Once we have a differentiated view on growth, we apply the core framework to value it. How do you know if a stock is cheap? You compare the Multiple (the cost) to the Growth Rate (the value driver).

I use a simple rule of thumb that applies to almost any metric (P/E, EV/EBITDA, etc.):

Let's look at three scenarios using NTM EV/EBITDA vs. 2-Year EBITDA CAGR.

Scenario A: The "Fair Value" Zone (1:1 Ratio)

• The Setup: A company trades at 30x NTM EBITDA and is expected to grow EBITDA at 30% per year.

• The Verdict: This is fully valued, but fair.

• The Play: You are paying a premium price for a premium asset. If I believe the growth will last longer (or will be faster) than the market expects, this is still a buy.

Scenario B: The "Distortion" (The Opportunity)

• The Setup: A company trades at 10x NTM EBITDA but my models show it growing at 50% per year.

• The Verdict: Screaming Buy.

• Why this happens: This is a "Distortion." Perhaps the sector is out of favor, or there is a temporary fear. The market is pricing it like a dying utility (10x), but the engine is a Ferrari (50% growth).

• Real World Example: Think of Shopify in 2017. It was trading at 15x Sales (seemingly expensive), but growing revenue at >60% annualized. The multiple looked high, but the growth engine was so fast it was actually cheap.

• The Foliotrail Edge: This is what we hunt for. Even if the multiple doesn't expand, the earnings growth alone will drive the stock up. If the multiple does expand (re-rating), you get a "double engine" effect.

Scenario C: The "Trap" (The Risk)

• The Setup: A company trades at 50x NTM EBITDA but is only growing at 10%.

• The Verdict: Overvalued / Bubble.

• The Play: Avoid or Trim. The market has priced in perfection. Any slip-up in earnings will result in a massive crush in the stock price (multiple compression).

Part 4: The KISS Principle (Keep It Simple, Stupid)

You might think that to beat the market, you need a complex Excel sheet with 50 tabs and thousands of rows.

False.

I follow the KISS Principle religiously. If you go too crazy with complexity, you end up with nothing but noise. A model is only as good as its inputs.

When I model a company for Foliotrail, I focus on the 3 or 4 Key Performance Indicators (KPIs) that actually matter:

1. Volume: (Is the base unit count growing?)

2. Pricing: (Is the value per unit increasing?)

3. Margins: (Is the business scaling efficiently?)

4. Reinvestment/Capital needs: (Is capital generating high returns?)

If you can get these right, the valuation handles itself. If you try to model every paperclip cost for the next 10 years, you are just guessing.

Summary

Valuation is not about finding the lowest number. It is about finding the biggest mismatch between Price and Reality.

• Growth is the engine.

• Valuation is what you pay for that engine.

• Opportunity is found when you pay the price of a Honda for the engine of a Ferrari.

Keep your models simple, focus on the forward-looking metrics (NTM), and always ask yourself: Is the market underestimating the speed of this growth? That is the Foliotrail way.

To see how I apply this framework, you can follow my strategy here: