Next to the current market price of every stock on Bulios you will find one more number: the Bulios Fair Price. It is an estimate of the stock's fair value, accompanied by a verdict on whether the stock trades below it, close to it, or above it. This article explains how such an estimate is built, where its limits lie and how to use it so that it actually helps you - instead of deciding for you.
What Fair Price estimates
A stock's market price tells you one thing only: how much the market is paying for it right now. It says nothing about whether that is a lot or a little. Fair Price tries to answer exactly that second question - it estimates the intrinsic value of the stock from the company's fundamentals: earnings, revenue, dividends, the cash the business generates, and their expected trajectory.
There is no single universally correct valuation. That is why the Bulios model does not rely on one method but combines several established valuation approaches: DDM (the dividend discount model, value from future dividends), EPV (earnings power value, value from current earning power), the Graham method (a conservative valuation based on earnings and book value), the Lynch method (growth valued against the price you pay) and relative valuation (comparison with similar companies). Each method suits a different type of company - a dividend model has plenty to say about an established dividend payer, but is toothless on a young growth company. The resulting fair price is therefore built by weighting the methods according to which of them make sense for the company at hand. You can find a detailed description in the fair price methodology.
An estimate, not a price target
Here is the most common misunderstanding: Fair Price is not a price target. It does not say the stock will climb to this value, let alone when. It says what the company's business is worth based on today's data and reasonable assumptions about the future - and every one of those assumptions can be off. On top of that, the market can ignore fundamentals for months or years: an undervalued stock can keep getting cheaper and an overvalued one keep getting more expensive.
The right reading is therefore different. Fair Price is a yardstick, not a forecast: it shows how big a cushion (or how big a premium) you are paying relative to fundamental value. An investor who buys well below fair value has a margin of safety in case their assumptions turn out wrong. An investor who buys well above it is betting that the future will be better than the model assumes - which can happen, but it is good to know that this is exactly the bet you are making.
When valuation models get it wrong
No valuation model knows the future - they all assume the company will keep developing roughly along its existing trajectory. That is why there are situations where the fair value estimate is less reliable and deserves extra skepticism:
- Fast-growing companies. The larger the share of value that lies in the distant future, the more sensitive the calculation is to growth assumptions. A small change in the expected growth rate means a large change in the fair price - so for young growth companies the range of possible values is enormous.
- Turning points. The company is changing its business model, going through a restructuring, being targeted for an acquisition, or facing a disruptive new competitor. The historical data the model relies on then describes a company that may no longer exist in that form.
- One-off events. A one-time drop or spike in earnings, a large write-down, the sale of a division or an extraordinary year for the whole industry can temporarily distort the input data - and with it the resulting fair price.
If you see an extreme deviation from fair value on a stock, it is more often an invitation to investigate than a finished finding. Either the market is overlooking something, or the model is working with data that does not capture the company's current situation. Figuring out which of the two it is - that is exactly the work that makes analysis analysis.
How to put the verdict to work in your own analysis
The undervalued or overvalued verdict is a starting point, not a decision. A sensible workflow looks like this:
- Ask why. An undervalued stock means the market is paying less than the fundamentals suggest. Sometimes that is an opportunity, other times the market has a good reason - looming regulation, weakening demand, a problem not yet visible in the numbers. Go looking for that reason.
- Check the quality of the company. A cheap stock of a bad company is no win. Check the Bulios Scoring - profitability, debt, quality and stability of the business. The most interesting combination tends to be a quality company at a price below fair value.
- Look at the business. Numbers are the past plus an estimate. Do you understand how the company makes money and whether that will last? Without an answer to that question, any fair price is just a number.
- Compare across the market. On the Fair Price Index you can see fair prices and scoring across thousands of global stocks - so you can put one company's deviation into the context of its sector and the whole market.
And one last principle: Fair Price is an input for your own analysis, not an investment recommendation. The model saves you hours of number crunching, but it does not know your horizon, your reserves or what you already hold in your portfolio. The decision about what to do with its estimate remains - fortunately - yours.