Why P/E differs so much between industries
A P/E ratio answers one question: how many dollars are investors paying for one dollar of current earnings? The answer depends almost entirely on what those earnings are expected to do next. Three forces drive the spread you see in the table:
- Growth expectations. Industries with long, visible growth runways justify paying for earnings that don't exist yet. That's why software and semiconductor multiples sit far above airlines and banking.
- Earnings quality. Cyclical sectors (airlines, commodities) show low multiples near peak earnings — the market knows those earnings won't last. A low P/E here is often a warning, not a bargain.
- Capital intensity. Heavy-asset businesses must reinvest before profits are "real" to owners, which compresses the multiple investors will pay per dollar of reported earnings.
How to actually use this table
Step 1. Find the company's industry in the table above.
Step 2. Compare its P/E to the industry's current and forward P/E — not to the market average.
Step 3. If it's far above the sector, ask: is its growth faster than the sector's? If far below, ask: what does the market know that I don't?
Step 4. Turn the industry multiple into a price target with the stock valuation calculator (P/E method).
Pair the multiple with margin and return data from the industry benchmarks page — a cheap multiple on a deteriorating business is not cheap, and a rich multiple on a compounding machine can still be a fair price.
5 ways people misuse industry P/E ratios
- Comparing across industries. A 15× airline and a 35× software company can both be fairly priced. The comparison only means something inside a sector.
- Ignoring loss-makers. Where 60–80% of firms lose money (see the table), trailing P/E is distorted. Use forward P/E and the % losing column together.
- Trusting a single year. One snapshot at a cycle peak or trough misleads. Check whether the sector's multiple is historically high or low before acting.
- Treating the average as "correct". The industry mean is a reference point, not a fair value. Companies differ in quality, and quality deserves different multiples.
- Forgetting rates. All multiples compress when rates rise and expand when they fall — the whole table shifts with the macro cycle.
Frequently asked questions
What is a good P/E ratio by industry?
There is no universal "good". The only meaningful comparison is against the company's own industry average and growth profile. A P/E 30% below the sector average with similar growth is interesting; a P/E 30% below because earnings are collapsing is not.
Which industry has the highest P/E ratio?
It rotates with the cycle. Sort the table by current P/E — the top rows are typically industries full of early-stage, money-losing companies where the multiple loses meaning. Forward P/E gives a cleaner picture.
Why do tech stocks have high P/E ratios?
High gross margins, long growth runways and asset-light models mean earnings today are a small fraction of what they may be in five years. Investors pre-pay for that growth. It only works if growth materializes — which is why the growth column matters as much as the multiple.
Which industry has the lowest P/E ratio?
Sort ascending: capital-intensive, cyclical sectors — air transport, banking, commodities — usually anchor the bottom. Low multiples reflect expected earnings decline as often as they reflect bargains.