Valuation Temperature, 2026-10

As of 2026-10, the cheapest U.S. stock sub-industry by PEG is Airlines at 0.4×, versus a market median of 1.33×.

Each month this reading shows where U.S. stock sub-industries sit on valuation: the cheapest by PEG, and the ones trading richest against their own history. The figures are aggregate only. The cheapest-by-PEG list is drawn from 991 stocks across 111 sub-industries, with a minimum of 2 names each. The richest-vs-history list is drawn from 904 stocks across 88 sub-industries, with a minimum of 4 names each.

This reading counts companies domiciled in the United States. The linked industry pages rank every company covered, foreign ones included, so a figure there can differ from the one here.

Cheapest U.S. stock sub-industries by PEG

CHEAPEST SUB-INDUSTRIES BY MEDIAN PEG
Sub-industryMedian PEGFwd growth
Airlines0.4×34.4%
Refiners & fuel sellers0.41×28.1%
Financial conglomerates0.42×17.8%
Car parts0.61×17.6%
Ad agencies & marketing0.65×24.5%
Mortgage lenders0.65×12.9%
Consumer lending & cards0.66×22.6%
Video games0.66×69.7%
Power producers & energy traders0.72×38.7%
Mortgage trusts0.74×8.8%

Trading richest vs their own history

SUB-INDUSTRIES MOST ABOVE THEIR HISTORICAL NORMAL P/E
Sub-industryAbove normal P/E
Electronic parts+120.2%
Contract electronics makers+96.8%
Chipmaking equipment+65.9%
Chipmakers+47.6%
Networking gear+37.1%
Industrial distributors+31.1%
Electrical parts & systems+30.7%
Trucking & freight+30.2%
Aircraft & defense+24.1%
Lab tools & research services+22.5%

The average stock against the index

A single index ratio cannot show whether the market is expensive everywhere or expensive in a few very large companies. Measuring each company against its own history separates the two. The median covers 1,105 companies; the size-weighted rows cover the 1,102 whose market value we can place.

OVERVALUATION VS EACH COMPANY'S OWN HISTORICAL NORM
ReadAbove or below norm
Median stock-13.4%
Weighted by company size+4.4%
Fifty largest companies+15.1%

Methodology: see the documentation.

How to cite this

tickerseer, “Valuation Temperature, 2026-10”, https://tickerseer.com/reports/valuation-temperature

The tables are also mirrored as CSV, CC BY 4.0, on GitHub, Hugging Face, Kaggle.

Past readings