S5FINL · Consensus Forward PE — Financial Sector Thirty-Year Forward P/E Ratio
XLF forward P/E (weekly): 15.1× as of 2026-05-12.
Financial Sector Forward P/E — Three decades of forward P/E multiples for financials, illustrating persistent structural valuation discounts relative to tech.
The plate
Right column: all 360 readings since 1996, stacked on the chart’s own scale; one block is 4 readings. The latest, 15.1× on 2026-05-12, is higher than 68% of them. Hatched band: the middle half (12.8×–15.8×); gold tick: the median, 14.0×. 2 more readings lie beyond the scale, counted by the triangle at its end.
Strip below: all 360 readings since 1996, stacked on the chart’s own scale; one block is 10 readings. The latest, 15.1× on 2026-05-12, is higher than 68% of them. Hatched band: the middle half (12.8×–15.8×); gold tick: the median, 14.0×. 2 more readings lie beyond the scale, counted by the triangle at its end.
Trading consistently within an 11–18× corridor, reflecting a structural discount to technology. The brief 38× print in late 2008 was an accounting artifact caused by sector-wide writedowns driving the EPS denominator toward zero.
What this page answers
This static page is built to answer searches for S5FINL · Consensus Forward PE. It summarizes the live dataset behind the Financial Sector Thirty-Year Forward P/E Ratio panel and links to the full interactive chart.
Trading consistently within an 11–18× corridor, reflecting a structural discount to technology. The brief 38× print in late 2008 was an accounting artifact caused by sector-wide writedowns driving the EPS denominator toward zero. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
Data & Source
GET /api/sectors/forward-pe.json — Canonical dataset endpoint.
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh each weekend. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.