Valuation Temperature, 2026-09

As of 2026-09, the cheapest stock sub-industry by PEG is Refiners & fuel sellers at 0.38×, versus a market median of 1.39×.

Each month this reading shows where 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 1,115 stocks across 119 sub-industries, with a minimum of 2 names each. The richest-vs-history list is drawn from 1,032 stocks across 97 sub-industries, with a minimum of 4 names each.

Readings from 2026-10 count only companies domiciled in the United States. This one also counted foreign companies listed in the U.S., which were 8% to 15% of the companies behind each reading through 2026-09.

Cheapest stock sub-industries by PEG

CHEAPEST SUB-INDUSTRIES BY MEDIAN PEG
Sub-industryMedian PEGFwd growth
Refiners & fuel sellers0.38×28.3%
Renewable power0.39×58.6%
Shipping0.4×28.4%
Financial conglomerates0.4×17.3%
Airlines0.41×27.9%
Consumer services0.52×49.4%
TV & radio networks0.57×40.8%
Consumer lending & cards0.62×21.4%
Carmakers0.64×13.6%
Ad agencies & marketing0.69×23.4%

Trading richest vs their own history

SUB-INDUSTRIES MOST ABOVE THEIR HISTORICAL NORMAL P/E
Sub-industryAbove normal P/E
Electronic parts+84.8%
Contract electronics makers+73.2%
Chipmaking equipment+66.9%
Chipmakers+43.8%
Trucking & freight+43.4%
Computers, storage & devices+41.3%
Aircraft & defense+41.0%
Industrial distributors+40.1%
Heavy machinery & trucks+36.2%
Steelmakers+32.5%

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 1,234 companies; the size-weighted rows cover the 1,230 whose market value we can place.

OVERVALUATION VS EACH COMPANY'S OWN HISTORICAL NORM
ReadAbove or below norm
Median stock-7.7%
Weighted by company size+11.2%
Fifty largest companies+21.9%

Methodology: see the documentation.

How to cite this

tickerseer, “Valuation Temperature, 2026-09”, https://tickerseer.com/reports/valuation-temperature/2026-09

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

Past readings