A multiple of 15 — compared to what, exactly?

Every lesson so far has ended with the same nag: a multiple only means something compared to something. That something is a comparable set — a group of similar companies you measure your target against. Get the set right and the comparison is fair. Get it wrong and every conclusion downstream is contaminated.

What "comparable" really means

Comparable companies — "comps" — are businesses similar enough that they should be valued on a similar basis. The gold standard for similarity is:

• Same industry and business model — they make money the same way, so the same multiple means the same thing.
• Similar size — a giant and a minnow face different risks and command different multiples even in one industry.
• Similar growth and profitability — two firms growing at 5% and 40% are not comparable no matter how alike their products.
• Same geography and market — regulation, currency, and interest rates all shape multiples.

The more of these a company shares with your target, the more trustworthy the comparison.

The benchmark, not the verdict

Once you have a set, you compute the median multiple across it (median, not average — one extreme company can drag an average badly). That median is your benchmark. Your target trading above it is an observation that the market prices your company richer than its peers; below it, cheaper. That's all it is — a relative position, not a judgement about whether either price is right.

Why the set is the hardest part

Here's the uncomfortable truth: choosing the comps is where most of the actual work — and most of the manipulation — in relative valuation happens. Include a couple of expensive high-flyers and your target suddenly looks cheap. Quietly drop them and it looks expensive. Same company, same day, opposite conclusion, just from editing the peer list. That's why professionals are disciplined about why each name is in the set, and the next lessons are about building it honestly.

Try it now

Start where every comparable set starts — the label:

1. Read the sector and the industry. Those two labels are the raw pool. Note that the GICS sector disagrees by name, and that a screener speaks only one of the two vocabularies.
2. Build the pool with that exact label. The five largest US-listed "Technology" companies above $1 billion, with each one's price and trailing earnings per share:

3. The screener line-up carries no multiples. Compute a P/E per row: adjusted close ÷ earnings per share. Note the range across the five — the spread you see among the five largest companies of one sector is exactly why the choice of comps matters so much.
4. Prove the point to yourself with a company from another sector, a bank:

Its trailing P/E is a real number, just as the five in step 3 are. Add it to those five, recompute the median, and say how far the benchmark moved because of one name that does not belong. Deciding who is in the set is the analysis.